Analysis of spatial perception and the influencing factors of attractions in Southwest China's ethnic minority areas: The case of Dali Bai Autonomous Prefecture

Abstract

As standards of material living continue to improve and urbanization advances, an increasing number of remote ethnic minority areas are becoming tourist destinations. Understanding tourists' perceptions on a large scale is thus crucial for the development of the regional tourism industry. However, traditional research methods suffer from high costs, small sample sizes, and low efficiency, making it difficult to measure the spatial perception of remote areas on a large scale. This study constructs a research framework for spatial perception measurement of remote ethnic minority areas by collecting reviews data from Ctrip using spatiotemporal data calculation and the Geodetector model. We considered Dali Prefecture as an empirical case and analyzed tourists' perceptions of the area's attractions, the spatial distribution of the attractions, and the process of change in the explanatory power of their influencing factors over an eight-year period (2014-2021). The results indicated that the most visited attractions were concentrated in Dali City. The perception of humanistic resources (attractions) with historical value was the highest, followed by natural resources. The high perception of attractions was influenced by the level of tourism development, traffic accessibility and attractiveness, and had an increasing influence on tourists' perceptions over time. Additionally, changes in the mode of transportation from road to high-speed rail played an important role in the selection of tourist attractions. Conversely, the tourists paid relatively less attention to humanistic resources (e.g., national cultural heritage protection units and traditional villages). Our study provides a basis for the measurement of spatial perception in remote minority areas and can be used as a reference for tourism development planning in Dali Prefecture, thus promoting the sustainable development of tourism in the area.

Fig 1. Workflow summary.

Fig 2. Study area (Dali Bai Autonomous Prefecture, Yunnan Province, China).

Notes: a. China; b. Yunnan Province; c. Dali Bai Autonomous Prefecture. The base map images are from the China Ministry of Natural Resources(http://bzdt.ch.mnr.gov.cn/index.html). The drawing approval number is GS (2016)1593.

Fig 3. Spatial distribution of tourists’ perceived tourism resources.

Notes: a. Kernel density map of tourists’ perceived tourism resources; b. Perceived degree of humanistic resources; c. Perceived degree of natural resources; d. Perceived degree of recreation and tourism resources. The circle in the graph represents the number of reviews, i.e. the larger the circle, the more reviews. The graph in the upper-left corner indicates the geospatial distribution of different types of tourism resources. The base map images are from the China Ministry of Natural Resources(http://bzdt.ch.mnr.gov.cn/index.html). The drawing approval number is GS (2016)1593.

Fig 4. Changes in the influencing factors during different periods.

Notes: a. Change in the q-value of traffic accessibility; b. Change in the q-value of socioeconomic factors; c. Change in the q-value of the natural environment; d. Change in the q-value of core resources.