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Landscape preferences of hikers in Three Parallel Rivers Region and its adjacent regions by content analysis of user-generated photography

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Published/Copyright: August 7, 2025
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Abstract

Effectively identifying tourists’ landscape preferences is significant for the conservation of heritage sites and forms the foundation for landscape assessment. This study conducted a content analysis of 4,511 photos uploaded by hikers in the Three Parallel Rivers region to explore their landscape preferences, differences between natural and cultural landscapes, and the underlying reasons for these preferences across different prefectures, in order to inform landscape management and heritage site conservation strategies. Results indicate a strong preference for natural landscapes, particularly forests, mountain peaks, blue skies, and lakes, while cultural elements such as architectural structures received significantly less attention. Preferences for landscape categories were especially high for vegetation, geomorphology, and meteorological landscapes, reflecting the region’s outstanding natural values that underpin its designation as a World Natural Heritage site. In contrast, geological sites were less frequently featured in the photos, likely due to their low visual appeal, limited public awareness, and a gap between hiker expectations and interpretive infrastructure. By providing quantitative evidence to support landscape management, spatial planning, and conservation strategies aligned with visitor behavior, this study helps heritage site managers optimize resource conservation and presentation strategies, contributing to sustainable tourism development through the balance of visitor satisfaction and heritage conservation.

1 Introduction

“Landscape” is a term in scientific geography, first introduced by Alexander von Humboldt in the early nineteenth century [1,2,3,4]. It is now conceptualized as a geographical area characterized by interrelated variables that are spatially heterogeneous, comprising mosaic patches that differ in size, shape, content, and history [5,6,7]. Landscape assessment is typically conducted from both objective and subjective perspectives. The objective approach focuses on evaluating the biophysical properties of landscapes, such as shape, texture, color, pattern, as well as qualities such as vitality and uniqueness [8]. Conversely, the subjective perspective is guided by human cognitive structures, encompassing human needs, desires, perceptions, actions, attitudes, and emotions [9,10]. Historically, the objective perspective in landscape assessment has long held a dominant position in research [11]. Nakarmi et al., for instance, utilized landscape character assessment methods to study the landscape characteristics of the proposed Appalachian Geopark, revealing its representative landscape features to include gorges, rocky terrains, valleys, rivers, waterfalls, railways, coalfields, coal towns, karst formations, and pastures [4]. Wu Jilin, drawing on landscape aesthetics theory, developed a landscape quality evaluation system for the Zhangjiajie landforms that includes five categories of factors and 18 indicators. It was discovered that the landscape quality characteristics of Zhangjiajie landform types at different developmental stages varied with differing influencing factors [12].

In the realm of tourism, landscapes, acting as the environmental setting for tourist activities, are not only attractions in their own right but also serve as the foundation for tourism development and targeted marketing. Essentially, tourism activities can be regarded as an aesthetic practice [13]. Landscape preferences reflect tourists’ visually dominated perceptions and feedback regarding the tourism environment [14]. This feedback, to a certain extent, can influence tourists’ choices and behaviors. Although many believe, as Kant stated in “Critique of Judgment,” that aesthetic quality is highly subjective, by investigating patterns within a certain group, we can relatively “objectify” this quality [15]. Therefore, effectively identifying tourists’ landscape preference characteristics is of great significance for the development and protection of tourist destinations and serves as an important basis for landscape assessment. World Heritage sites are precious treasures for all of humanity. Assessing landscape preferences at these heritage locations can offer valuable insights for their conservation and dissemination. Initially, studies in this field largely relied on questionnaire surveys. For example, Chen Youjun conducted both field investigation and questionnaire survey at the Jiuzhaigou World Natural Heritage site to study tourists’ landscape preferences. The findings revealed significant variability in preferences among tourists from different market sources, while demographic characteristics had negligible impact [16].

With the advancement of aerial photography and satellite imagery, an increasing number of studies have begun to analyze photographic images [17]. Photographs are a common medium for sharing personal travel experiences and perceptions of destination landscapes, offering a valuable approach to analyzing tourists’ perceptions of travel sites [18,19]. Nakarmi et al. utilized photographs taken by researchers on-site, coupled with questionnaires to investigate the public’s landscape preferences for Appalachian Park from the perspectives of cognitive preferences and visual stimuli. Their research revealed that the public’s preference was highest for forest landscapes, followed by aquatic landscapes [20]. However, such photographs are generally taken by researchers or site managers, making it challenging to represent the tourists’ own preferences accurately, and the collection of photographs is both time-consuming and labor-intensive.

With the development of Web 2.0 applications, tourists can now instantly document and share their travel experiences via media sharing websites and social platforms [19]. Hansen found that tourists taking photographs, as a valuable and effective strategy, hold considerable potential in capturing and studying the quality of tourist experiences [21]. Payntar et al. identified tourists’ visual aesthetic preferences based on publicly taken photographs collected from online communities, noting that conservation measures at heritage sites impact the homogeneity of the photographs taken [17]. Wang Shoucheng, taking the Jiuzhaigou scenic area as an example, used the number of online user visits to photographs as a weight to describe the landscape attention of potential tourists. It was found that, guided by the uploaded photographs, the pattern of landscape attention among potential tourists exhibited a hierarchical nature [22]. Zhong Xiaolin applied content analysis to tourism photographs obtained from online platforms to study tourists’ landscape preferences. The results revealed that some locations deemed of high landscape quality by experts have yet to resonate with tourists [23]. The heritage sites involved in the aforementioned studies are relatively small in area and primarily cater to mass tourism. Yet, there has been little research found on the preferences of hikers visiting these heritage sites.

The Three Parallel Rivers World Natural Heritage site, located in the northwestern region of Yunnan, China, covers an area of about 17,800 km2, making it the only World Natural Heritage site in China that meets all four criteria. The Three Parallel Rivers and its adjacent areas are renowned worldwide as premier hiking destinations, featuring world-class classic trekking routes such as the Tiger Leaping Gorge and Yubeng. However, the landscape preferences of hikers there remain unclear, resulting in a lack of guidance for local governments in terms of heritage presentation and the protection and management of heritage sites. Therefore, this study aims to address the following scientific questions: What landscape elements do hikers prefer when visiting the Three Parallel Rivers World Natural Heritage site? How can these preferences be systematically identified through photographs shared on the “2bulu” trekking platform? What implications do these landscape preferences have for the conservation, presentation, and management of heritage landscapes in large-scale, hiker-oriented destinations?

To address these questions, this study extracts user-generated photographs from the “2bulu” platform and applies grounded theory methodology to analyze the content. The objective is to identify the core landscape elements favored by hikers and to provide practical insights for heritage conservation and tourism planning in the Three Parallel Rivers and its surrounding regions.

2 Study area

Traditionally, the “Three Parallel Rivers” area (98°E–100°30′E, 25°30′N–29°N) is located on the southeastern edge of the Tibetan Plateau, within the longitudinal valley region of the Hengduan Mountains, spanning Lijiang City, Diqing Tibetan Autonomous Prefecture, and Nujiang Lisu Autonomous Prefecture in Yunnan Province (Figure 1) [24]. It encompasses the regions through which the Jinsha River, Lancang River, and Nu River flow, covering a total area of about 17,000 km² [25]. The region boasts abundant tourism resources with immense aesthetic and scientific value. Notably, the “Three Parallel Rivers” is China’s only World Natural Heritage site that meets all four criteria, showcasing a collection of spectacular and unique natural wonders including high mountain gorges, snow-capped glaciers, plateau wetlands, forest meadows, freshwater lakes, rare animals, and precious plants [24].

Figure 1 
               Location of the “Three Parallel Rivers” area.
Figure 1

Location of the “Three Parallel Rivers” area.

The unique tectonic morphology of the area has shaped the distinctive longitudinal south–north valley landscape, characterized by the “four mountains enclosing three rivers” pattern [26]. The terrain is towering, with high mountains and deep valleys, interspersed with rivers, and the river valleys often present a “V” shape with steep valley walls. The region is longitudinally traversed from west to east by four major rivers: the Dulong River, Nu River, Lancang River, and Jinsha River. Notably, the Nu River, Lancang River, and Jinsha River, originating from the Tibetan Plateau, flow through the entire study area, separated successively by the Gaoligong Mountains, Biluo Snow Mountain, and Yunling Mountain Range. This creates a rare natural geographical phenomenon where the rivers run parallel without converging [27].

Due to its unique longitudinal ridge-valley topography, this region encompasses a wide range of climatic types including subtropical (south subtropical, mid-subtropical, and north subtropical), temperate (warm temperate and cool temperate), and frigid zones. Thanks to the complexity and diversity of its geographical environment and climatic conditions, the region boasts a high number of endemic species with very distinct characteristics, alongside a wealth of flora and fauna resources, thereby being recognized as one of the world’s biodiversity hotspots [28,29,30]. It is home to 16 ethnic minorities, including the Tibetan, Naxi, Yi, Lisu, Pumi, Nu, and Dulong peoples, making it one of the rare areas in the world where multiple ethnicities, languages, religious beliefs, and customs coexist [30].

Dali and the three prefectures or cities of Lijiang, Diqing, and Nujiang in the Three Parallel Rivers region share many similarities due to their geographic location, natural conditions, diverse ethnic cultures, tourism development, and policy-driven regional cooperation. In alignment with the coordinated development of hiking tourism within this region, the Three Parallel Rivers region and its adjacent areas studied herein encompass four prefectures or cities: Diqing, Nujiang, Dali, and Lijiang (hereafter referred to as the “Three Parallel Rivers region”). Among these, Dali and Lijiang have already become world-renowned tourist destinations, with Tiger Leaping Gorge and Yubeng emerging as classic trekking spots in China and globally.

3 Data and methods

3.1 Data collection and processing

The photographic data for this study were sourced from the “2bulu” outdoor tourism website (https://www.2bulu.com/), China’s premier platform for sharing outdoor tourism resources and engaging in community interactions among outdoor enthusiasts. This website aggregates a vast collection of travel trajectories and photographs uploaded by hiking enthusiasts, offering a wealth of actual outdoor activity data, making it an ideal source for analyzing hikers’ landscape preferences.

Photographs corresponding to hiking trails uploaded by travelers were extracted from the official “2bulu” website using Python web scraping techniques. During the scraping process, the activity type was set to “hiking”, and the regions were specified as Diqing, Nujiang, Dali, and Lijiang. This regional selection was implemented in the code to ensure that only photographs from these specific regions were included in the dataset. As of August 2023, a total of 10,873 sample photographs were collected. The filtering of the images, including the removal of duplicate and blurry photographs, was performed manually. Specifically, duplicate images were manually identified and removed by carefully reviewing the photographs and checking for repeated content uploaded multiple times. Blurry or out-of-focus photographs were also manually identified by inspecting each image’s clarity. Photographs that did not meet the minimum quality standard were excluded from the dataset. After these manual filtering processes, the dataset was reduced to 4,511 photographs. Specifically, the sample photographs from Diqing, Nujiang, Dali, and Lijiang initially numbered 2,498, 5,476, 2,160, and 739, respectively, and were reduced to 992, 1,925, 996, and 598 after processing, respectively.

3.2 Grounded coding

Grounded theory, a qualitative research methodology, was jointly developed by scholars Strauss and Glaser. This theory, pioneering the integration of theoretical and empirical research, outlines the methods and steps for constructing theoretical models based on raw data through a systematic process and then establishes theories and concepts through systematic analysis and induction [31].

According to qualitative grounded theory, the data analysis software Nvivo11.0 was utilized for the automatic coding of collected photographs, and the software’s built-in statistical functions were leveraged to explore the relationships among codes within categories. Through processes such as creating projects, importing images, creating nodes, and basic coding, the content of the photographs was systematically categorized. Then, by automatically coding all photo nodes, the representational content of the photographs was transformed into quantitative information.

In Nvivo11.0, coding primarily involves free node coding and tree node coding [23]. To understand the overall landscape preferences of hikers across the entire research area, photographs taken during hikes in various areas were imported for uniform open coding at the initial stage. A photograph often encompasses more than one primary focal point. Beyond featuring a main subject, a photo typically includes a layered composition of multiple elements. Moreover, the same elements can appear in different categories, manifesting in various combinations. For instance, a photograph with “hikers” as the main subject usually also captures elements such as mountains, grasslands, and clouds. By repeatedly comparing hiking photographs, those containing similar information were coded under the same free node, with each photograph being assigned to no more than five free nodes. Employing grounded theory, the nodes were categorized and integrated, and themes were distilled based on their significance. This involved a detailed analysis of the meanings and categories of tree nodes, grounded in the results and classification cases of previous research. Initial nodes were systematically classified into broader categories, with nodes that did not contribute to new themes categorized as “Other.” Subsequently, free nodes were consolidated into corresponding tree nodes. To further investigate landscape preference variations within the research area, the aforementioned steps were applied to statistically analyze and assess the hiking photographs from each of the four prefectures or cities individually. The methodological flowchart of this research is shown in Figure 2.

Figure 2 
                  Methodological flowchart.
Figure 2

Methodological flowchart.

4 Results and discussion

4.1 Overall landscape preferences

4.1.1 Landscape element frequency analysis

The remaining 4,511 effective sample photographs were analyzed using image content analysis methods, with the statistical results of the top 30 elements by frequency (Figure 3).

Figure 3 
                     Frequency of landscape elements among hikers in the Three Parallel Rivers Region.
Figure 3

Frequency of landscape elements among hikers in the Three Parallel Rivers Region.

Hikers in the Three Parallel Rivers region showed a preference for natural landscapes, with natural landscape elements accounting for 62.67% of the preferred landscape elements, while cultural landscape elements made up 37.33%. The frequency of natural landscape elements was nearly twice that of cultural landscapes. Among these, woodlands, blue sky, mountain peaks, clouds and mist, snowy mountains, lakes, rocks, grasslands, rivers, and flowers ranked in the top 10 natural landscape elements. For hikers and outdoor enthusiasts in the proposed Appalachian Geopark, landscapes such as trails, rivers, and woodland forests were the most favored [20]. Likewise, on the Ninghai Trail, hikers showed a preference for elements such as common tree species, trail markers, mountain paths, continuous mountain ranges, hills, streams, open skies, and shrubbery [32].

The Three Parallel Rivers region ranks among the world’s most biodiverse areas, serving as a habitat for numerous rare and endemic plants and as one of the globally recognized type localities for botanical specimens. It is home to renowned wild flowers such as lilies, orchids, rhododendrons, primroses, gentians, Artemisia, Pedicularis, and irises. Notably, it stands as both the origin and the most significant geographic distribution center for the Rhododendron genus. The variety of trees and grasses form a distinctive vegetative landscape, acting as either the focal point or the backdrop, which is crucial for capturing unique photographs by hikers. The preference of hikers for forests and grasslands corresponds to some extent with the World Heritage values of the Three Parallel Rivers region. The results indicate that hikers’ landscape perceptions are closely tied to the weather, primarily reflected in the clear weather’s blue sky and the overcast weather’s rainy mist landscapes.

Mountain climbing is a preferred type of hiking activity, with conquering snow-capped mountains being a long-held dream for many hikers. In this process, mountain peaks and snowy mountains emerge as some of the most favored landscapes among tourists, becoming the most common and indispensable elements in photographs. Similarly, the fondness for lakes reflects the “affinity for water” of hiking enthusiasts. Rocks ranked highly among the landscape elements preferred by tourists. As one of the most common elements in mountainous areas, these rocks are ubiquitous yet each possesses its own unique features, such as the fractured limestone of Jade Dragon Snow Mountain, the internationally renowned marble of Cangshan, and the pebbles of various rivers.

Hikers ranked as the highest frequency element beyond natural landscape features, serving as a lateral reflection of the hiking mode of travel. Given that hiking tourism in China is still predominantly characterized by outings with friends or club groups, hikers thus hold a significant presence in the photographs captured by hikers. The signage system ranks sixth in terms of frequency. Various signs and markers play a critical role in facilitating smooth hiking experiences. Uploading photographs of these as markers to platforms serves as a memento and provides references for other hikers. Moreover, signage systems with ethnic or local characteristics offer a novel appeal to tourists, making them the sixth most preferred element among hikers. The frequent appearance of backpacks was mainly due to their status as essential equipment for hiking. Although cultural landscape elements may not be as popular as natural ones, their renown and precious value also attracts hikers from various places. Notable examples include the characteristic districts, specialty shops, and inns with local cultural features found in the region’s ancient cities and towns.

4.1.2 Landscape category analysis

By summarizing and refining the free nodes, i.e., landscape elements, extracted from the hiking tourism photographs in the Three Parallel Rivers region, their corresponding tree nodes, i.e., landscape categories, were identified (Table 1). Among the preferred landscape types of hikers in the Three Parallel Rivers region, the top three were vegetation landscape, geomorphological landscape, and meteorological landscape. This preference is partly due to the region’s unique natural environment and climatic conditions. On the other hand, it coincides with hikers’ desire to connect with and experience nature.

Table 1

Frequency of landscape categories for hikers in the Three Parallel Rivers Region

Tree node Free node Frequency Proportion (%)
Vegetation landscape Woodlands, grasslands, shrubbery, flowers, wild mushrooms, moss, wild fruits, fallen leaves, ferns 1,919 23.20
Geomorphological landscape Snowy mountains, mountain peaks, rocks, canyons, cliffs, basins, hillsides, steep slopes, sandy areas, caves 1,350 16.32
Meteorological landscape Blue sky, clouds and mist, morning glow, sunset, snowfield, sunshine 1,307 15.80
Tourism facilities 1. Hospitality facilities: inns, restaurants, specialty shops, teahouses, convenience stores, hotels 1,003 12.13
2. Functional service facilities: signage, plank paths, boats, entertainment facilities, viewing platforms, cable cars, rest areas, ticket offices, parking lots, toilets, trash bins, ticket gates, cameras, tourist service centers
3. Infrastructure: stairs, cars, paths, dams, docks, reservoirs, aqueducts
Outdoor equipment Backpacks, windbreakers, trekking poles, hats, cameras, tents 658 7.95
Waterscape Lakes, rivers, waterfalls, ponds, islands, Springs, ice falls, glaciers, icicles 614 7.42
Human landscape Hikers, local residents 593 7.17
Architectural and historical relic landscape Bridges, residential houses, characteristic districts, stone paths, cabins, stone houses, gateways, museums, distinctive architecture, pavilions, fences, sculptures, walls, abandoned buildings, windmills, thatched cottages, couplets, artificial waterfalls, plaques, memorial arches, sheds, tombstones, military sites, famous residences 522 6.31
Ethnic and religious cultural landscape Temples, prayer flags, Mani stone piles, ethnic calligraphy and paintings, ethnic decorations, stupas, ethnic clothing, churches, prayer boards, ethnic dances, prayer wheels, couplets, sacrificial sites, ethnic festivals, religious flags, lanterns 183 2.21
Pastoral landscape Farmland, terraced fields 70 0.85
Animal landscape Livestock, wild animals 53 0.64

Tourism facilities ranked fourth, reflecting the broadening audience for hiking tourism in recent years from professional hikers to general tourists. This shift not only signifies a lower entry barrier into hiking but also represents an increasing demand and focus on hiking service facilities. Specifically, hikers are becoming more particular about the environment, hygiene, and amenities of hospitality facilities such as accommodations and dining. There is growing attention to the completeness and safety of functional service facilities such as signage systems, plank paths, and viewing platforms, as well as the accessibility and convenience of infrastructure like transportation. In the photographs taken by hikers in the Three Parallel Rivers region, outdoor equipment category frequencies accounted for 7.95%, ranking fifth, with elements such as backpacks, windbreakers, trekking poles, and hats being the most commonly used hiking gear.

Waterscape ranked sixth, with lakes accounting for more than half of this category. The Three Parallel Rivers region is rich in plateau lakes with stunning scenery, among which Erhai Lake is particularly favored. After lakes, rivers captured the spotlight. The region’s unique geological structure has created the river wonders of the Three Parallel Rivers, often presenting a perfect combination of canyons, rivers, and giant rocks, making it one of the most preferred landscapes among hikers (Figure 4).

Figure 4 
                     Example hiking photographs in the Three Parallel Rivers Region.
Figure 4

Example hiking photographs in the Three Parallel Rivers Region.

In the human landscape category, hikers ranked seventh in terms of preference. However, hikers constitute the majority, indicating that their interest in themselves and their companions greatly exceeds their interest in local residents. By contrast, a study on landscape preferences in Peru found that travelers were more interested in the way the Peruvian people live. These depictions typically feature Peruvians dressed in modern clothing, along with scenes and environments from their daily lives [19]. Architectural and historical relic landscape overall did not rank highly, but many ancient towns within the region were beloved by hikers, with elements such as residential houses, characteristic districts, and distinctive architecture being particularly prominent. The Three Parallel Rivers area is a melting pot of various ethnic groups including the Naxi, Bai, Tibetan, and Lisu peoples, with a rich diversity of religious cultures coexisting. The frequency of ethnic and religious cultural landscape accounted for 2.21% of the preferences, showcasing a wide variety. The preference for pastoral landscape accounted for 0.85%, with a particular fondness for terraced fields, which constitute nearly a third of this category’s frequency. Among the landscape category preferences of hikers, animal landscape had the lowest frequency, only making up 0.64% of the preferences, with relatively fewer types, and primarily consisting of domestic animals such as mules, cows, and sheep.

Overall, hikers showed a far greater preference for natural landscapes over cultural ones, a finding corresponding to the Three Parallel Rivers region’s status as a World Natural Heritage site. This preference for natural landscapes over cultural ones is consistent with most studies, particularly in the context of hiking tourism [4,32]. While the ethnic cultures of the Three Parallel Rivers region are highly distinctive, hikers’ attention to ethnic cultural landscapes is far less than their attention to natural landscapes. Similarly, Wang Shoucheng et al. found that scenic spots with Tibetan cultural themes, such as Tibetan villages, attracted less attention from visitors to Jiuzhaigou compared to natural landscapes [22]. However, in areas rich in cultural or archaeological heritage, visitors tend to favor cultural landscapes. For instance, Payntar et al. found that in all UNESCO (United Nations Educational, Scientific and Cultural Organization) and BTC (Boleo Turístico del Cuzco, a multi-site pass that grants access to 10 sites in and around Cuzco)-listed heritage sites, common landscapes include “archaeological excavations,” “ruins,” and “terraces.” Meanwhile, they also show interest in natural features such as “valleys” and “mountains” [17]. This suggests that while the cultural landscapes are undeniably significant to visitors, there is also a strong inclination to explore natural elements. Stepchenkova found that travelers tend to photograph archaeological ruins within natural environments, effectively portraying archaeological sites as part of the natural landscapes of Peru [19].

The pronounced preference for vegetation landscape and the richness of preferred landscape elements underscores the value of its biodiversity in the Three Parallel Rivers Region. Previous studies on national parks and national trails have also shown that visitors have a strong preference for vegetation, particularly forest landscapes, which significantly surpasses their preference for other types of landscapes [20,22]. The geomorphological landscape, dominated by elements such as mountain peaks, snowy mountains, and canyons, ranked second, reflecting the universal significance and unique aesthetics outlined in criteria (vii) and (ix). Criterion (viii) encompasses numerous geological relics, yet hiking photographs predominantly feature marble, with occasional appearances of karst landscapes like the Stone Moon, rarely touching upon geological relics. This may be attributed to several factors, including the low visual salience of geological features, the mismatch between interpretation facilities and hikers’ preferences, and a lack of interest and knowledge in geology among hikers. Geological features, such as stratified rock formations, fault lines, and fossil beds, typically lack the immediate visual appeal of more dramatic landscapes, such as forests, lakes, or mountains. Their significance often depends on scientific understanding rather than visual impact, and most hikers, lacking a geoscientific background, may not recognize or interpret these features even when they are present along hiking trails. Furthermore, most geological interpretation facilities such as signs, exhibits, and guided tours are located in developed scenic areas or national parks, which are often seen as overly commercialized or crowded. Hikers, seeking more pristine and natural environments, tend to avoid these areas, reducing their exposure to geological heritage [33]. Additionally, hiking is typically driven by goals of visual pleasure and physical challenge, such as reaching summits, enjoying panoramic views, or traversing rugged terrain. Despite the academic value of geological heritage, it does not align with these experiential goals and thus fails to capture hikers’ attention or become a focal point for photography. Correspondingly, Nakarmi et al. pointed out that despite the proposed Appalachian Geopark’s rich karst landscapes, such as caves and rock formations, respondents’ preferences for these features were relatively low. This could be due to the fact that these landscapes are considered secondary or peripheral, or because of limited promotion and public awareness of such features in the area. Therefore, more consultation and strategies should be developed to promote the karst landscapes in the region, as they represent a significant asset [20]. To address the generally low attention given to geological features by hikers in the Three Parallel Rivers area and its surrounding regions, it is essential to enhance the visibility and awareness of geological relics among hikers. One potential solution could be the introduction of low-impact, eco-friendly educational facilities and guidance services in undeveloped areas, integrating scientific communication into the natural experience.

Surprisingly, waterscapes were ranked only sixth, indicating that the value of rivers outlined in criterion (vii) is not as emphasized as geomorphological landscapes like mountain peaks. This contrasts with findings from studies on the Ninghai Trail, where hikers placed greater importance on water features. This preference may be attributed to the Ninghai Trail’s high level of development and its status as the most frequently used trail in China’s NTS trail system, with a well-designed and logically interconnected trail network [32]. The lower preference for waterscapes in the study area can also be explained through various interrelated factors. Many rivers in the Three Parallel Rivers region are situated in deep valleys, making them difficult to view clearly from the elevated trails that hikers typically follow. Furthermore, most hiking routes focus on high-elevation destinations such as mountain peaks and passes, rather than water-based landmarks. This spatial configuration limits the frequency and prominence of water features in hikers’ visual records. Waterscapes are often found alongside more visually striking features, such as canyons, cliffs, and large rock formations, which tend to dominate photographs, relegating rivers and lakes to background or supporting roles. Moreover, the optimal hiking season coincides with the dry season, when water levels are low, and river flow is reduced. This diminishes the visual appeal of the rivers. In contrast, features such as mountain peaks, meadows, and forests reach their aesthetic peak during this time, making them more visually compelling. Additionally, hikers typically avoid the rainy season due to safety concerns, such as landslides and flooding, which further limits their exposure to visually dynamic waterscapes.

4.2 Differences in landscape preferences within the region

4.2.1 Diqing

Statistical analysis revealed that geomorphological landscapes composed of snowy mountains, rocks, mountain peaks, and canyons ranked first, signifying the focal point of hikers’ perceptions in Diqing (Table 2). Tiger Leaping Gorge features a complex and diverse topography, including towering cliffs, deep canyons, limestone caves, cliffside carvings, and snowy mountains. Hikers’ focus on these awe-inspiring and majestic geomorphological landscapes highlights the Three Parallel Rivers region’s prominent biodiversity, scientific value, and aesthetic significance. It also reflects the spirit of exploration and adventure among hikers, as they navigate through sheer cliffs, descend into canyons, face the raging torrents, and climb snowy mountains (Figure 5).

Table 2

Frequency of landscape categories for hikers in Diqing

Tree node Free node Frequency Proportion (%)
Geomorphological landscape Snowy mountains, mountain peaks, rocks, canyons, cliffs, hillsides 512 20.91
Vegetation landscape Woodlands, grasslands, shrubbery, flowers, moss, fallen leaves 448 18.29
Meteorological landscape Blue sky, clouds and mist, blue sky, snowfield, sunshine, morning glow 447 18.25
Tourism facilities 1. Hospitality facilities: convenience stores, teahouses, inns, restaurants 2. Functional service facilities: viewing platforms, rest areas, ticket offices, parking lots, signage, plank paths 3. Infrastructure: cars, aqueducts, paths 315 12.86
Outdoor equipment Trekking poles, backpacks, windbreakers 204 8.33
Human landscape Local residents, hikers 170 6.94
Waterscape Rivers, lakes, waterfalls, glaciers 160 6.53
Ethnic and religious cultural landscape Prayer flags, Mani stone piles, stupas, temples, prayer wheels 77 3.14
Architectural and historical relic landscape Bridges, residential houses, stone houses, cabins, gateways, fences 69 2.82
Pastoral landscape Terraced fields, farmland 25 1.02
Animal landscape Livestock, wild animals 22 0.90
Figure 5 
                     Example hiking photographs in Diqing.
Figure 5

Example hiking photographs in Diqing.

Hikers had a strong perception of vegetation landscapes, accounting for 18.29% of the preference, with forests dominated by coniferous trees being the most common and popular among photographers. Vegetation landscapes primarily consisting of forests and grasslands, along with geomorphological landscapes dominated by snowy mountains and mountain peaks, ranked high in frequency in the hiking photographs of this region. These elements are most representative of the natural landscapes of Diqing, such as the Meili Snow Mountain and Haba Snow Mountain, which are seldom accessible to hikers in their everyday urban life. The most common photographs featured a composite of snowy mountains, coniferous forests, and grasslands, illustrating the “exoticism” of hiking tourism. This shows that hikers prefer to embark on their activities in destinations with different geographical locations and diverse hiking resources.

Meteorological landscapes, including elements such as clouds and mist, blue skies, snowscapes, sunshine, and morning glows, accounted for 18.25% of the preferences, second only to vegetation landscapes. Unlike other regions, in Diqing, the frequency of clouds and mist appearing in hikers’ perceptions of meteorological landscapes was higher than that of clear blue skies, ranking second and third, respectively. This suggests that hikers do not always favor cloudless sunny weather; the mist-enshrouded Yubeng and Haba Snow Mountains are especially favored by hikers. The Meili Snow Mountain presents a majestic and spectacular visage under clear blue skies and clouds, while it takes on a mysteriously gentle appearance during overcast and rainy weather. Hikers extensively document both manifestations of the mountain with their cameras. The Golden Ray on Meili Snow Mountain is an incredibly beautiful natural wonder, visible only at specific times and from certain locations. Its remarkable beauty draws numerous hikers who come specifically to witness this spectacle.

Tourism facilities ranked fourth, accounting for 12.86% of preferences. Among hospitality facilities, inns were the most prominently perceived by hikers, with some even becoming “landmark buildings” for communication among hikers. This indicates that under the backdrop of a local inn culture formed through community participation, the majority of hikers opt for inns as their primary accommodation choice. Signage ranked as the highest frequency among functional service facilities, reflecting both the completeness of hiking service facilities in hiking destinations of Diqing and the local signs’ ethnic characteristics. For instance, many trail markers are made of wood and feature multilingual inscriptions, including Chinese and Tibetan, adorned with elements such as Mani stones and bright colors matching prayer flags in vivid yellow and blue. These signs not only serve to guide direction but also carry significant commemorative value. Prayer flags, symbolizing the Tibetan people’s prayers for blessings and disaster relief, are omnipresent along the journey. These elements are novel for hikers, thus becoming frequently captured elements in tourists’ photographs. Outdoor equipment’s frequency was three-quarters that of tourism facilities. While the variety of elements was not vast, essentials such as backpacks, trekking poles, and windbreakers held an indispensable position among hikers in Diqing. This is because destinations such as the Meili Snow Mountain, Haba Snow Mountain, and Tiger Leaping Gorge have high demands on a hiker’s physical stamina and equipment, necessitating a well-prepared gear.

The landscape preference in Diqing is very similar to that of Wulingyuan, with the top three landscapes in both regions being geomorphological landscape, vegetation landscape, and meteorological landscape [23]. Geomorphological landscape ranked first in tourists’ photographs, as both regions boast distinctive landform features. Diqing is home to the famous Tiger Leaping Gorge, while Wulingyuan is renowned for Zhangjiajie, whose quartz sandstone peak forest landscape has been named the “Zhangjiajie Landform” by international geological academic organizations. Vegetation landscapes are also popular among tourists in both regions, though the specific vegetation types differ. Diqing is dominated by alpine vegetation such as coniferous forests and meadows, with a high level of vegetation coverage and a diverse range of ecological vegetation types. It also has the richest grassland resources in the province, offering a rich variety of meadow landscapes. On the other hand, Wulingyuan is home to China’s first national forest park, the Zhangjiajie National Forest Park, which features a large number of valuable ancient trees. The main landscape of Wulingyuan consists of mountain peaks, with forests complementing the peaks, making both vegetation landscapes and geomorphological landscapes easily perceptible to tourists. Interestingly, both regions share a monsoon climate with significant mountainous topography, which contributes to the captivating cloud and mist landscapes that strongly attract tourists.

4.2.2 Nujiang

Vegetation landscapes were the most favored by hikers in the Nujiang region, accounting for 24.29% of preferences (Table 3). As one of the world’s significant biodiversity hotspots and one of China’s three major endemic species distribution centers, Nujiang boasts a rich diversity of plant resources, earning it the title “refuge of life.” Among the photographs taken by hikers, besides the common forests, grasslands, shrubbery, and flowers, there were also various ferns and mosses, with woodland elements ranking first at 13.69%. Interestingly, among the photographs, not only were there coniferous forests of pine and fir trees, but also broadleaf forests with camphor and michelia trees, as well as tropical jungles with massive buttress roots. Most of these photographs originated from trekking routes in the Gaoligong Mountains, where the lush forest landscapes and the rich diversity of forest types serve as a significant stimulus to the hikers’ senses.

Table 3

Frequency of landscape categories for hikers in Nujiang

Tree node Free node Frequency Proportion (%)
Vegetation landscape Woodlands, shrubbery, grasslands, flowers, ferns, moss, wild fruits 300 24.29
Geomorphological landscape Mountain peaks, rocks, cliffs, canyons, caves, snowy mountains, basins 201 16.28
Tourism facilities 1. Hospitality facilities: inns, restaurants 2. Functional service facilities: signage, viewing platforms, plank paths 3. Infrastructure: cars, dams, paths 190 15.38
Meteorological landscape Blue sky, clouds and mist, sunset, sunshine 169 13.68
Waterscape Lakes, waterfalls, rivers 111 8.99
Architectural and historical relic landscape Cabins, residential houses, gateways, stone houses, museums, bridges 100 8.10
Human landscape Local residents, hikers 62 5.02
Outdoor equipment Backpacks, windbreakers, trekking poles 60 4.86
Ethnic and religious cultural landscape Churches, temples, ethnic clothing, ethnic dances, prayer flags 22 1.78
Pastoral landscape Farmland 14 1.13
Animal landscape Livestock, wild animals 6 0.49

Thanks to the unique topography of Nujiang, geomorphological landscapes ranked second in preference, accounting for 16.28%, and included elements such as mountain peaks, rocks, canyons, cliffs, caves, snowy mountains, and basins. The terrain, characterized by high mountains and deep valleys, makes landscapes such as mountain peaks, canyons, and cliffs appear particularly majestic, easily sparking the exploratory drive of hikers and stimulating their perceptions. Caves mainly originate from the iconic site of the Stone Moon, a massive through-hole formed by the dissolution of dolomite, representing a classic example of karst topography. It also embodies the values specified in World Natural Heritage criterion (vii), indicating that the scientific and aesthetic values of the Three Parallel Rivers are partly displayed and communicated to hikers (Figure 6).

Figure 6 
                     Example hiking photographs in Nujiang.
Figure 6

Example hiking photographs in Nujiang.

Tourism facilities ranked third, accounting for 15.38% of preferences, with functional service facilities such as signage, plank paths, and viewing platforms making up the largest proportion (52.63%). Signage ranked fourth, accounting for 6.68%, with the majority of signs found along the beautiful Nujiang Road or the paths of Gaoligong Mountain. Forests and plank paths in areas such as Gaoligong Mountain and the Stone Moon scenic spot appeared frequently since the combination of them enhances each other, and plank paths often play a crucial role in photo composition. Infrastructures such as roads and bridges were also common elements in the photographs. The beautiful Nujiang Road frequently appeared in photographs from various aerial perspectives, and the stone stairs along the hiking trails, together with the surrounding scenery or crowds, were also the main subjects of the photographs.

Meteorological landscapes ranked fourth, accounting for 13.68%. The variety of meteorological landscapes in Nujiang was not particularly rich, but the most distinctive feature was the fog, which accounted for 10.06% of all elements, ranking second. The enveloping mists of Bingzhongluo town in Nujiang, often described as a “fairyland on earth,” were especially prominent. Following closely were waterscapes, accounting for 8.99%, mainly including rivers, lakes, and waterfalls, with rivers being the most frequent. This included both the tumultuous Nu River and the gentle streams flowing through the mountains. Elements such as mountain peaks, rivers, and canyons accounted for 15.3%. With its towering terrain and deep valleys, hikers had a particular fondness for the stunning combination of peaks, rivers, and canyons in Nujiang.

Architectural and historical relic landscapes ranked sixth, featuring a rich variety and distinct characteristics. Among these, various types of bridges appeared in photographs with a frequency of 2.98%, with nearly a hundred old and new bridges scattered throughout the area, forming a unique landscape. The Zanatong Bridge, Wulicun Bridge, and Bailai Gratitude Bridge, among others, frequently captured the attention of hikers. The landscape element of residential houses appeared with a frequency of 1.77%, with Nu ethnic villages such as Wulicun, Qiunatong, and Zhiziluo being particularly favored by hikers. Inns appeared in hikers’ photographs with a frequency of 0.56%. Villages such as Laomudeng, Yaping, Zhiziluo, and Shawan have successively established inns with ethnic characteristics, providing hikers with places to rest during their journey. These inns also serve as platforms for hikers to make friends and experience local customs and culture, making them significantly meaningful to hikers.

Human landscapes and outdoor equipment ranked seventh and eighth, respectively, with hikers accounting for 4.43% of the compositions and hiking gear elements such as backpacks, windbreakers, and trekking poles making up a combined 4.35%. This may be attributed to the relatively late development of hiking tourism in Nujaing, its low degree of commercialization, and the fact that most hikers are experienced outdoor enthusiasts. Ethnic and religious cultural landscape ranked lower, accounting for 1.78%. In the photographs taken by hikers in Nujaing, the frequencies of church and temple elements were 0.56 and 0.40%, respectively. Bingzhongluo gathers the main ethnic minorities of the Nu River Prefecture, including the Nu, Lisu, Dulong, and Tibetan peoples, where Tibetan temples coexist with Christian and Catholic churches.

4.2.3 Dali

In the landscape preferences of hikers in Dali, the top three categories were vegetation landscapes, meteorological landscapes, and geomorphological landscapes (Table 4). Woodlands were the most frequently appearing element in photographs, probably because the high vegetation coverage in Dali meets hikers’ desires to experience and connect with nature during forest treks. Grasslands and flowers also ranked highly, reflecting hikers’ preference for landscapes composed of blue skies, lakes, mountain peaks, and grasslands. Additionally, hikers showed a strong interest in vibrant, visually striking fields of flowers (Figure 7).

Table 4

Frequency of landscape categories for hikers in Dali

Tree node Free node Frequency Proportion
Vegetation landscape Woodlands, grasslands, flowers, shrubbery, wild mushrooms, moss 537 26.76
Meteorological landscape Blue sky, clouds and mist, morning glow, snowfield 317 15.79
Geomorphological landscape Mountain peaks, rocks, basins, snowy mountains, caves, hillsides, cliffs 253 12.61
Outdoor equipment Backpacks, hats, trekking poles, windbreakers, tents 210 10.46
Waterscape Lakes, islands, ponds, rivers, springs, waterfalls, ice falls, icicles 209 10.41
Tourism facilities 1. Hospitality facilities: inns, restaurants 2. Functional service facilities: signage, ticket offices, rest areas, cable cars 3. Infrastructure: paths, cars, docks, stairs 183 9.12
Human landscape Local residents, hikers 150 7.47
Architectural and historical relic landscape Characteristic districts, gateways, pavilions, residential houses, bridges, stone paths, cabins, stone houses, memorial arches, walls, abandoned buildings, windmills, fences, sheds, plaques 84 4.19
Ethnic and religious cultural landscape Temples, stupas, couplets 36 1.79
Pastoral landscape Farmland, terraced fields 21 1.05
Animal landscape Livestock, wild animals 7 0.35
Figure 7 
                     Example hiking photographs in Dali.
Figure 7

Example hiking photographs in Dali.

In terms of meteorological landscapes, blue skies ranked second, whereas the frequency of clouds and mist was only a fifth of that of blue skies. Furthermore, in the Cangshan Mountain range, renowned for its snow, clouds, springs, and rocks, snow and clouds together accounted for half of the landscape elements captured by hikers.

Mountain peaks and rocks constitute 68% of the geomorphological landscapes, with the 19 towering peaks of Cangshan not only serving as the primary subjects for hikers’ photographs but also providing a majestic backdrop for capturing other elements. The internationally renowned beauty of Dali marble was also a favored backdrop for tourists’ photographs. The frequency of snowy mountains appeared at a mere 0.84%, may be due to Cangshan’s snow being seasonal, primarily from November to March each year. Outdoor equipment accounted for 10.46% of the preferences. Trekking poles and windbreakers were not as frequently observed, while backpacks were an essential item for most hikers, constituting 6.35% of all elements.

Waterscapes ranked fifth, with lakes and rivers as the primary elements of Dali’s waterscape. Lakes were mostly centered around Erhai Lake, offering picturesque views whether observed up close from the shore or from a distance on Cangshan. The rivers mainly consisted of the 18 streams flowing from Cangshan. The countless waterfalls and pools on Cangshan, transforming into crystal-clear ice columns and icefalls in winter, offered breathtaking beauty. The various waterscapes encountered during treks, complementing the geomorphological landscapes, can also stimulate the perceptions of some hikers.

Hikers showed a notable preference for tourism facilities, especially the functional service facilities, which might be closely related to the mature service facilities in key hiking areas such as Cangshan and Erhai Lake. Along the Cangshan trails, the path is well marked with cable cars, plank paths, and stairs available, catering to leisure hikers who may opt to use the cable car for certain segments. The walking and cycling trails built along the Erhai Ecological Corridor, along with their significant signage, hold commemorative value and have become important elements for photography.

Architectural and historical relic landscapes accounted for 4.19% of the preferences. While these landscapes may not be as popular as natural ones, many hikers still visit for them. For instance, the pavilions, memorial arches, and other characteristic buildings in Xizhou Ancient Town are relatively well preserved and rich in historical ambiance, making them favored subjects in hikers’ photography. Following closely was the ethnic and religious cultural landscape, among which temples were the only cultural landscape element, aside from hikers and backpacks, to make it into the top 15 most recorded by hikers in Dali. Due to historical reasons, Buddhism was prevalent in Dali, with dozens of temples, both large and small, nestled on Cangshan Mountain. Many hikers choose to visit these temples to calm their minds and find spiritual solace, consistent with the modern hiker’s motivation to get close to nature, escape the hustle and bustle, and alleviate stress.

4.2.4 Lijiang

Hikers in Lijiang showed the strongest preference for vegetation, geomorphological, and meteorological landscapes, with these types of landscapes accounting for over half of the sample photographs (Table 5). This illustrates that in Lijiang, what hikers experience most profoundly are the vegetation landscapes within natural mountains and wilds under varying weather conditions. Woodlands had the highest appearance rate among all elements, accounting for 13.95%. Due to the high forest coverage in the entire Three Parallel Rivers area, forests become the most strongly perceived landscape element by hikers in most hiking areas, often appearing as the backdrop in photographs (Figure 8).

Table 5

Frequency of landscape categories for hikers in Lijiang

Tree node Free node Frequency Proportion (%)
Vegetation landscape Woodlands, grasslands, shrubbery, flowers, wild mushrooms, moss 634 24.56
Geomorphological landscape Mountain peaks, snowy mountains, rocks, sandy areas, canyons 384 14.88
Meteorological landscape Blue sky, clouds and mist, sunshine, snowfield, sunset 374 14.49
Tourism facilities 1. Hospitality facilities: inns, restaurants, specialty shops 2. Functional service facilities: signage, plank paths, viewing platforms, toilets, cable cars, boats 3. Infrastructure: paths, cars, dams, docks, reservoirs 315 12.20
Architectural and historical relic landscape Distinctive architecture, characteristic districts, residential houses, gateways, cabins, pavilions, sculptures, famous residences, bridges, walls, abandoned buildings, thatched cottages 269 10.42
Human landscape Hikers, local residents 211 8.18
Outdoor equipment Backpacks, windbreakers, trekking poles, tents 184 7.13
Waterscape Rivers, springs, lakes, waterfalls 134 5.19
Ethnic and religious cultural landscape Ethnic clothing, ethnic calligraphy and paintings, temples, prayer flags, stupas, lanterns, churches 48 1.86
Animal landscape Livestock, wild animals 18 0.70
Pastoral landscape Farmland 10 0.39
Figure 8 
                     Example hiking photographs in Lijiang.
Figure 8

Example hiking photographs in Lijiang.

Geomorphological landscapes such as mountain peaks, snowy mountains, and sandy areas reflect the typical topographical features of the Lijiang trekking area, centered around the Jade Dragon Snow Mountain. Blue sky ranked as the second most frequent element, which probably due to the local climate and the travel seasons chosen by hikers. During the peak season of hiking including both spring and autumn, there usually is a high proportion of clear days [33]. Blue skies and white clouds add a natural filter to photographs, aligning with hikers’ imaginations and aspirations of Yunnan, where Three Parallel Rivers Region belongs to, as the “Land of Colorful Clouds.” The frequency of elements such as mountain peaks, hikers, and snowy mountains ranked high, thanks to the renowned Jade Dragon Snow Mountain within the trekking area. Hikers often take group photographs to commemorate reaching the summit or a certain altitude, capturing the challenges of climbing and the joy of conquering peaks.

Tourism facilities ranked fourth, accounting for 12.20% of preferences. This is partly because Lijiang’s tourism development is relatively mature, with well-established inns and guesthouses. Hikers tend to choose these accommodations as their lodging places, making them an important landscape element recorded during their trekking journeys. On the other hand, various types of signage along the trekking routes serve as witnesses to the entire trekking process and are a major landscape element for hikers to commemorate. Viewing platforms, plank paths, and mountain roads serve as crucial supports for hikers to trek and enjoy the scenery, making them frequently featured in tourists’ photographs. Snow Lotus Peak, in particular, sees a significant number of hikers from South Korea, with many Korean-made signposts on the mountain attracting a large number of tourists for photo opportunities. Outdoor equipment accounts for 7.13% of the preferences, with hats, windbreakers, and trekking poles being among the more frequently observed elements. This is because climbing mountains such as the Jade Dragon Snow Mountain and Snow Lotus Peak present certain challenges, requiring adequately comprehensive gear.

Compared to other regions, Lijiang’s architectural and historical relic landscapes accounted for a higher proportion, reaching 10.42%. Lijiang is home not only to the internationally renowned Jade Dragon Snow Mountain but also to the Lijiang Ancient Town, a World Cultural Heritage site. The city’s overall layout and engineering architecture blend the essences of Han, Bai, Yi, Tibetan, Naxi, and other ethnic groups. Characteristic streets from different perspectives appear frequently in hikers’ photographs, while the historically worn stone roads, ancient wooden buildings, and the ubiquitous “Three-Eyed Wells” throughout the ancient town also become regular subjects in tourism photographs. Likewise, the attention given to architectural landscapes is also reflected in the landscape study of Wuyuan villages, where visitors have a high level of perception regarding Hui-style architecture, ancient villages, and the integration of mountain and water landscapes with architectural features [23].

The frequency of ethnic and religious cultural landscapes was relatively low, but it encompassed a variety of element types such as ethnic clothing, ethnic calligraphy and paintings, temples, prayer boards, stupas, and lanterns. It is noticeable that hikers’ preferences for landscape elements in Lijiang differ significantly from other regions, with a greater variety and quantity of cultural landscapes compared to natural landscapes. This includes distinctive architecture, ethnic decorations, and famous residences, indicating that tourists visit this hiking area not just for ordinary photo ops and sightseeing tours, but also motivated by historical architecture, ethnic culture, and local customs. Waterscapes accounted for 5.19% of the preferences, with Lashi Lake, Wenhai, and other large and small plateau lakes, making lakes one of the top 10 preferred landscape elements in this hiking area.

Above all, hikers have a positive attitude toward the commercial and man-made landscapes in Lijiang, which stands in sharp contrast to the relatively low preference for commercial landscapes observed among visitors to the proposed Appalachian Geopark [20]. This phenomenon may be closely linked to the rich historical heritage of the Ancient Tea Horse Road and the unique cultural atmosphere of Lijiang Old Town. The degree of commercialization in Lijiang, especially the widespread association with the “romantic” label, has greatly enhanced the attractiveness of its landscapes, drawing more visitors. Regardless, as a UNESCO World Heritage site, the historical value and cultural depth of Lijiang are deeply embedded in the perception of its visitors. Compared to other hiking destinations, Lijiang Old Town is relatively popular, and popular areas typically offer high accessibility and strong appeal. As a result, Lijiang not only caters to hikers seeking natural landscapes but also attracts those who are interested in exploring human history and traditional culture. This makes Lijiang a hiking destination that combines both natural and cultural allure, widely attracting a diverse range of visitors.

5 Conclusion and future prospects

This study, based on 4,511 photographs taken by trekkers, employed grounded coding to analyze the landscape preferences of trekkers in four different prefectures or cities and summarized the overall landscape preferences of trekkers in the Three Parallel Rivers region. This method intuitively and authentically presents the landscape preferences of trekkers and the research showed that the most favored landscape types among trekkers in the region included woodlands, mountain peaks, trekkers themselves, grasslands, roads, signage, rocks, shrubbery, and backpacks. However, there were some regional differences: for example, trekkers in Dali Prefecture favored the stairs and temples of Cangshan; trekkers in Lijiang preferred characteristic streets and specialty shops; trekkers in Diqing favored snowy landscapes and prayer flags, reflecting the Tibetan characteristics of the snow-capped plateau; and trekkers in Nujiang enjoyed the bridges and cliffs along the Nujiang Grand Canyon.

In terms of scenery categories, trekkers in the region showed a stronger preference for natural landscapes such as vegetation, geomorphological, and meteorological landscapes, with relatively less attention paid to cultural landscapes such as architectural and ethnic-religious landscapes. This corresponded with the status of the Three Parallel Rivers area as a World Natural Heritage site, where the evident preference for vegetation and geomorphological landscapes highlights the area’s significant biodiversity, scientific value, and aesthetic appeal. The lesser focus on geological relics may be related not only to the current knowledge background of hikers, but also to their low visual salience and the fact that interpretive facilities are often concentrated in developed scenic areas, which are typically avoided by hikers seeking more pristine environments. Likewise, the unexpectedly low preference for waterscapes may be attributed to limitations in visibility due to topography and trail alignment, seasonal variations in water levels during the dry hiking season, and visual competition with more dominant landscape features such as peaks and cliffs.

Focusing on tourists’ perceptions and preferences toward the environment, particularly the analysis of hikers’ landscape preferences in this study, is of significant importance for the trekking development and ecological protection of the Three Parallel Rivers region and its neighboring regions, especially regarding landscape configuration and design. It is recommended that relevant authorities consider hikers’ landscape preferences when designing scientific layouts and planning rationally, in order to fully highlight the heritage value of the Three Parallel Rivers region and provide appropriate facilities.

Despite the valuable insights gained, there are several limitations that need to be addressed in future research. First, while grounded coding provides in-depth understanding, the selection and coding process is inherently subjective, which may introduce biases. Future studies could incorporate computer vision and machine learning techniques to automate image recognition, thereby reducing subjectivity and improving consistency. Second, while over 4,500 photographs were collected via the “2bulu” website, the sample may be biased, as it represents primarily active online users, likely skewing toward specific demographics, such as middle-aged male trekkers. Moreover, the data are influenced by personal photography choices and may not fully represent all trekkers’ preferences. Finally, due to time and resource constraints, the study lacked comprehensive fieldwork across all regions. Future research could extend the study to include field surveys across different seasons and environmental conditions for a more complete dataset.

Acknowledgments

We appreciate the assistance in data collection and analysis from Mingjie Wang. We gratefully acknowledge Wenjin Ma for providing some of the photographs used in this study.

  1. Funding information: This work was supported by Research Base of Philosophy, Social Sciences of Yunnan on Tourism Industry Development under Grant [Number 04500205020503040].

  2. Author contributions: Ouyi Zhao: conceptualization; data curation; formal analysis; writing – original draft; writing – review and editing. Jiaxue Wang: funding acquisition; project administration; supervision; writing – review and editing.

  3. Conflict of interest: The authors declared that they have no conflicts of interest in this work, and manuscript is approved by all authors for publication.

  4. Data availability statement: The data that support the findings of this study are available on request from the lead author.

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Received: 2025-02-22
Revised: 2025-06-13
Accepted: 2025-06-13
Published Online: 2025-08-07

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  21. Research on the variation in the Shields curve of silt initiation
  22. Reuse of agricultural drainage water and wastewater for crop irrigation in southeastern Algeria
  23. Assessing the effectiveness of utilizing low-cost inertial measurement unit sensors for producing as-built plans
  24. Analysis of the formation process of a natural fertilizer in the loess area
  25. Machine learning methods for landslide mapping studies: A comparative study of SVM and RF algorithms in the Oued Aoulai watershed (Morocco)
  26. Chemical dissolution and the source of salt efflorescence in weathering of sandstone cultural relics
  27. Molecular simulation of methane adsorption capacity in transitional shale – a case study of Longtan Formation shale in Southern Sichuan Basin, SW China
  28. Evolution characteristics of extreme maximum temperature events in Central China and adaptation strategies under different future warming scenarios
  29. Estimating Bowen ratio in local environment based on satellite imagery
  30. 3D fusion modeling of multi-scale geological structures based on subdivision-NURBS surfaces and stratigraphic sequence formalization
  31. Comparative analysis of machine learning algorithms in Google Earth Engine for urban land use dynamics in rapidly urbanizing South Asian cities
  32. Study on the mechanism of plant root influence on soil properties in expansive soil areas
  33. Simulation of seismic hazard parameters and earthquakes source mechanisms along the Red Sea rift, western Saudi Arabia
  34. Tectonics vs sedimentation in foredeep basins: A tale from the Oligo-Miocene Monte Falterona Formation (Northern Apennines, Italy)
  35. Investigation of landslide areas in Tokat-Almus road between Bakımlı-Almus by the PS-InSAR method (Türkiye)
  36. Predicting coastal variations in non-storm conditions with machine learning
  37. Cross-dimensional adaptivity research on a 3D earth observation data cube model
  38. Geochronology and geochemistry of late Paleozoic volcanic rocks in eastern Inner Mongolia and their geological significance
  39. Spatial and temporal evolution of land use and habitat quality in arid regions – a case of Northwest China
  40. Ground-penetrating radar imaging of subsurface karst features controlling water leakage across Wadi Namar dam, south Riyadh, Saudi Arabia
  41. Rayleigh wave dispersion inversion via modified sine cosine algorithm: Application to Hangzhou, China passive surface wave data
  42. Fractal insights into permeability control by pore structure in tight sandstone reservoirs, Heshui area, Ordos Basin
  43. Debris flow hazard characteristic and mitigation in Yusitong Gully, Hengduan Mountainous Region
  44. Research on community characteristics of vegetation restoration in hilly power engineering based on multi temporal remote sensing technology
  45. Identification of radial drainage networks based on topographic and geometric features
  46. Trace elements and melt inclusion in zircon within the Qunji porphyry Cu deposit: Application to the metallogenic potential of the reduced magma-hydrothermal system
  47. Pore, fracture characteristics and diagenetic evolution of medium-maturity marine shales from the Silurian Longmaxi Formation, NE Sichuan Basin, China
  48. Study of the earthquakes source parameters, site response, and path attenuation using P and S-waves spectral inversion, Aswan region, south Egypt
  49. Source of contamination and assessment of potential health risks of potentially toxic metal(loid)s in agricultural soil from Al Lith, Saudi Arabia
  50. Regional spatiotemporal evolution and influencing factors of rural construction areas in the Nanxi River Basin via GIS
  51. An efficient network for object detection in scale-imbalanced remote sensing images
  52. Effect of microscopic pore–throat structure heterogeneity on waterflooding seepage characteristics of tight sandstone reservoirs
  53. Environmental health risk assessment of Zn, Cd, Pb, Fe, and Co in coastal sediments of the southeastern Gulf of Aqaba
  54. A modified Hoek–Brown model considering softening effects and its applications
  55. Evaluation of engineering properties of soil for sustainable urban development
  56. The spatio-temporal characteristics and influencing factors of sustainable development in China’s provincial areas
  57. Application of a mixed additive and multiplicative random error model to generate DTM products from LiDAR data
  58. Gold vein mineralogy and oxygen isotopes of Wadi Abu Khusheiba, Jordan
  59. Prediction of surface deformation time series in closed mines based on LSTM and optimization algorithms
  60. 2D–3D Geological features collaborative identification of surrounding rock structural planes in hydraulic adit based on OC-AINet
  61. Spatiotemporal patterns and drivers of Chl-a in Chinese lakes between 1986 and 2023
  62. Land use classification through fusion of remote sensing images and multi-source data
  63. Nexus between renewable energy, technological innovation, and carbon dioxide emissions in Saudi Arabia
  64. Analysis of the spillover effects of green organic transformation on sustainable development in ethnic regions’ agriculture and animal husbandry
  65. Factors impacting spatial distribution of black and odorous water bodies in Hebei
  66. Large-scale shaking table tests on the liquefaction and deformation responses of an ultra-deep overburden
  67. Impacts of climate change and sea-level rise on the coastal geological environment of Quang Nam province, Vietnam
  68. Reservoir characterization and exploration potential of shale reservoir near denudation area: A case study of Ordovician–Silurian marine shale, China
  69. Seismic prediction of Permian volcanic rock reservoirs in Southwest Sichuan Basin
  70. Application of CBERS-04 IRS data to land surface temperature inversion: A case study based on Minqin arid area
  71. Geological characteristics and prospecting direction of Sanjiaoding gold mine in Saishiteng area
  72. Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU
  73. Geochronology, geochemical characteristics, and tectonic significance of the granites, Menghewula, Southern Great Xing’an range
  74. Hazard classification of active faults in Yunnan base on probabilistic seismic hazard assessment
  75. Characteristics analysis of hydrate reservoirs with different geological structures developed by vertical well depressurization
  76. Estimating the travel distance of channelized rock avalanches using genetic programming method
  77. Landscape preferences of hikers in Three Parallel Rivers Region and its adjacent regions by content analysis of user-generated photography
  78. New age constraints of the LGM onset in the Bohemian Forest – Central Europe
  79. Characteristics of geological evolution based on the multifractal singularity theory: A case study of Heyu granite and Mesozoic tectonics
  80. Soil water content and longitudinal microbiota distribution in disturbed areas of tower foundations of power transmission and transformation projects
  81. Oil accumulation process of the Kongdian reservoir in the deep subsag zone of the Cangdong Sag, Bohai Bay Basin, China
  82. Investigation of velocity profile in rock–ice avalanche by particle image velocimetry measurement
  83. Optimizing 3D seismic survey geometries using ray tracing and illumination modeling: A case study from Penobscot field
  84. Sedimentology of the Phra That and Pha Daeng Formations: A preliminary evaluation of geological CO2 storage potential in the Lampang Basin, Thailand
  85. Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model
  86. Map analysis of soil erodibility rates and gully erosion sites in Anambra State, South Eastern Nigeria
  87. Identification and driving mechanism of land use conflict in China’s South-North transition zone: A case study of Huaihe River Basin
  88. Evaluation of the impact of land-use change on earthquake risk distribution in different periods: An empirical analysis from Sichuan Province
  89. A test site case study on the long-term behavior of geotextile tubes
  90. An experimental investigation into carbon dioxide flooding and rock dissolution in low-permeability reservoirs of the South China Sea
  91. Detection and semi-quantitative analysis of naphthenic acids in coal and gangue from mining areas in China
  92. Comparative effects of olivine and sand on KOH-treated clayey soil
  93. YOLO-MC: An algorithm for early forest fire recognition based on drone image
  94. Earthquake building damage classification based on full suite of Sentinel-1 features
  95. Potential landslide detection and influencing factors analysis in the upper Yellow River based on SBAS-InSAR technology
  96. Assessing green area changes in Najran City, Saudi Arabia (2013–2022) using hybrid deep learning techniques
  97. An advanced approach integrating methods to estimate hydraulic conductivity of different soil types supported by a machine learning model
  98. Hybrid methods for land use and land cover classification using remote sensing and combined spectral feature extraction: A case study of Najran City, KSA
  99. Streamlining digital elevation model construction from historical aerial photographs: The impact of reference elevation data on spatial accuracy
  100. Analysis of urban expansion patterns in the Yangtze River Delta based on the fusion impervious surfaces dataset
  101. A metaverse-based visual analysis approach for 3D reservoir models
  102. Late Quaternary record of 100 ka depositional cycles on the Larache shelf (NW Morocco)
  103. Integrated well-seismic analysis of sedimentary facies distribution: A case study from the Mesoproterozoic, Ordos Basin, China
  104. Study on the spatial equilibrium of cultural and tourism resources in Macao, China
  105. Urban road surface condition detecting and integrating based on the mobile sensing framework with multi-modal sensors
  106. Application of improved sine cosine algorithm with chaotic mapping and novel updating methods for joint inversion of resistivity and surface wave data
  107. The synergistic use of AHP and GIS to assess factors driving forest fire potential in a peat swamp forest in Thailand
  108. Dynamic response analysis and comprehensive evaluation of cement-improved aeolian sand roadbed
  109. Rock control on evolution of Khorat Cuesta, Khorat UNESCO Geopark, Northeastern Thailand
  110. Gradient response mechanism of carbon storage: Spatiotemporal analysis of economic-ecological dimensions based on hybrid machine learning
  111. Comparison of several seismic active earth pressure calculation methods for retaining structures
  112. Mantle dynamics and petrogenesis of Gomer basalts in the Northwestern Ethiopia: A geochemical perspective
  113. Study on ground deformation monitoring in Xiong’an New Area from 2021 to 2023 based on DS-InSAR
  114. Paleoenvironmental characteristics of continental shale and its significance to organic matter enrichment: Taking the fifth member of Xujiahe Formation in Tianfu area of Sichuan Basin as an example
  115. Equipping the integral approach with generalized least squares to reconstruct relict channel profile and its usage in the Shanxi Rift, northern China
  116. InSAR-driven landslide hazard assessment along highways in hilly regions: A case-based validation approach
  117. Attribution analysis of multi-temporal scale surface streamflow changes in the Ganjiang River based on a multi-temporal Budyko framework
  118. Maps analysis of Najran City, Saudi Arabia to enhance agricultural development using hybrid system of ANN and multi-CNN models
  119. Hybrid deep learning with a random forest system for sustainable agricultural land cover classification using DEM in Najran, Saudi Arabia
  120. Long-term evolution patterns of groundwater depth and lagged response to precipitation in a complex aquifer system: Insights from Huaibei Region, China
  121. Remote sensing and machine learning for lithology and mineral detection in NW, Pakistan
  122. Spatial–temporal variations of NO2 pollution in Shandong Province based on Sentinel-5P satellite data and influencing factors
  123. Numerical modeling of geothermal energy piles with sensitivity and parameter variation analysis of a case study
  124. Stability analysis of valley-type upstream tailings dams using a 3D model
  125. Variation characteristics and attribution analysis of actual evaporation at monthly time scale from 1982 to 2019 in Jialing River Basin, China
  126. Investigating machine learning and statistical approaches for landslide susceptibility mapping in Minfeng County, Xinjiang
  127. Investigating spatiotemporal patterns for comprehensive accessibility of service facilities by location-based service data in Nanjing (2016–2022)
  128. A pre-treatment method for particle size analysis of fine-grained sedimentary rocks, Bohai Bay Basin, China
  129. Study on the formation mechanism of the hard-shell layer of liquefied silty soil
  130. Comprehensive analysis of agricultural CEE: Efficiency assessment, mechanism identification, and policy response – A case study of Anhui Province
  131. Simulation study on the damage and failure mechanism of the surrounding rock in sanded dolomite tunnels
  132. Towards carbon neutrality: Spatiotemporal evolution and key influences on agricultural ecological efficiency in Northwest China
  133. High-frequency cycles drive the cyclical enrichment of oil in porous carbonate reservoirs: A case study of the Khasib Formation in E Oilfield, Mesopotamian Basin, Iraq
  134. Reconstruction of digital core models of granular rocks using mathematical morphology
  135. Spatial–temporal differentiation law of habitat quality and its driving mechanism in the typical plateau areas of the Loess Plateau in the recent 30 years
  136. A machine-learning-based approach to predict potential oil sites: Conceptual framework and experimental evaluation
  137. Effects of landscape pattern change on waterbird diversity in Xianghai Nature Reserve
  138. Research on intelligent classification method of highway tunnel surrounding rock classification based on parameters while drilling
  139. River morphology and tectono-sedimentary analysis of a shallow river delta: A case study of Putaohua oil layer in Saertu oilfield (L. Cretaceous), China
  140. Dynamic change in quarterly FVC of urban parks based on multi-spectral UAV images: A case study of people’s park and harmony park in Xinxiang, China
  141. Review Articles
  142. Humic substances influence on the distribution of dissolved iron in seawater: A review of electrochemical methods and other techniques
  143. Applications of physics-informed neural networks in geosciences: From basic seismology to comprehensive environmental studies
  144. Ore-controlling structures of granite-related uranium deposits in South China: A review
  145. Shallow geological structure features in Balikpapan Bay East Kalimantan Province – Indonesia
  146. A review on the tectonic affinity of microcontinents and evolution of the Proto-Tethys Ocean in Northeastern Tibet
  147. Advancements in machine learning applications for mineral prospecting and geophysical inversion: A review
  148. Special Issue: Natural Resources and Environmental Risks: Towards a Sustainable Future - Part II
  149. Depopulation in the Visok micro-region: Toward demographic and economic revitalization
  150. Special Issue: Geospatial and Environmental Dynamics - Part II
  151. Advancing urban sustainability: Applying GIS technologies to assess SDG indicators – a case study of Podgorica (Montenegro)
  152. Spatiotemporal and trend analysis of common cancers in men in Central Serbia (1999–2021)
  153. Minerals for the green agenda, implications, stalemates, and alternatives
  154. Spatiotemporal water quality analysis of Vrana Lake, Croatia
  155. Functional transformation of settlements in coal exploitation zones: A case study of the municipality of Stanari in Republic of Srpska (Bosnia and Herzegovina)
  156. Hypertension in AP Vojvodina (Northern Serbia): A spatio-temporal analysis of patients at the Institute for Cardiovascular Diseases of Vojvodina
  157. Regional patterns in cause-specific mortality in Montenegro, 1991–2019
  158. Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina
  159. Flash flood susceptibility mapping using LiDAR-Derived DEM and machine learning algorithms: Ljuboviđa case study, Serbia
  160. Geocultural heritage as a basis for geotourism development: Banjska Monastery, Zvečan (Serbia)
  161. Assessment of groundwater potential zones using GIS and AHP techniques – A case study of the zone of influence of Kolubara Mining Basin
  162. Impact of the agri-geographical transformation of rural settlements on the geospatial dynamics of soil erosion intensity in municipalities of Central Serbia
  163. Where faith meets geomorphology: The cultural and religious significance of geodiversity explored through geospatial technologies
  164. Applications of local climate zone classification in European cities: A review of in situ and mobile monitoring methods in urban climate studies
  165. Complex multivariate water quality impact assessment on Krivaja River
  166. Ionization hotspots near waterfalls in Eastern Serbia’s Stara Planina Mountain
  167. Shift in landscape use strategies during the transition from the Bronze age to Iron age in Northwest Serbia
  168. Assessing the geotourism potential of glacial lakes in Plav, Montenegro: A multi-criteria assessment by using the M-GAM model
  169. Flash flood potential index at national scale: Susceptibility assessment within catchments
  170. SWAT modelling and MCDM for spatial valuation in small hydropower planning
  171. Disaster risk perception and local resilience near the “Duboko” landfill: Challenges of governance, management, trust, and environmental communication in Serbia
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