Xiaoyun Wang’s research while affiliated with Lanzhou University of Technology and other places

This paper constructs an evaluation system of tourism development quality (TDQ) that can reflect the new development concept from five dimensions: tourism product quality, tourism service quality, tourism economic quality, tourism social quality, and tourism environment quality. The comprehensive evaluation model of the improved “vertical and horizontal” open-level method is used to measure the TDQ in 31 provinces in China from 2005 to 2019. Combined with the model of Markov chain and hot-spot analysis, the temporal and spatial evolution characteristics are analyzed. The major findings are as follows: (1) China’s TDQ tended to improve and showed a decreasing trend of “east–central–west” from 2005 to 2019. (2) Spatial factors have a certain impact on the transfer of different levels of TDQ. Moreover, a certain phenomenon of “club convergence” exists. (3) The hot spots of TDQ expanded, and the cold spots contracted, indicating increased high-level agglomeration and weakened low-level agglomeration from 2005 to 2019.

The rapid development of the urban economy in China and the accompanying income growth experienced by urban residents have increased demand for tourism and leisure, which has brought pressure on the urban tourism environment system (UTES), making the contradiction between tourism economic development and the ecological environment increasingly acute. While seeking to rationalize the economic, social, and ecological benefits of tourism, reducing the fragility of the UTES and improving its anti-interference and recovery capabilities have become attracted significant attention from scholars in China and elsewhere. This paper establishes a definition of resilience for an UTES and constructs an evaluation index system for it in terms of the social, economic, and ecological environments. It also establishes an entropy weight-TOPSIS resilience evaluation model to measure resilience in regional systems, using ArcGIS to analyze the standard deviation ellipse and center of the gravity track of the resilience. System dynamics was used to construct diagrams of causal relationships and stock flow for the constituent elements of UTES to show the mechanisms that promote its resilience. This paper investigates 14 cities of Gansu Province in particular to simulate the resilience model of a regional system.