Space-time evolution of the ecological security of regional urban tourism: the case of Hubei Province, China.

While increased tourist demand has brought economic benefits to tourist destinations, it has also put tremendous pressure on tourism-related ecological environments. Therefore, the relationship between regional urban tourism's economic benefits and tourism ecologies must be considered by increasing the ecological security levels of regional urban tourism and promoting sustainable tourism development. This paper defines the ecological security of regional urban tourism, constructs an indicator system of said ecological security based on a pressure-state-response social-economic-environment (PSR-SEE) model, uses the entropy method to objectively assign weights to the indicator system, constructs a dynamic multi-scenario simulation model to assess ecological security under continuous, economic priority and various ecological protection scenarios, employs ArcGIS software to analyze the spatial distribution patterns of the ecological security of regional urban tourism, and uses a standard deviation ellipse method to analyze the space-time evolutionary track of the ecological security of regional urban tourism.

Research on the anti-interference capability of the tourism environment system for the core stakeholders of semi-arid valley-type cities: analysis based on the multi-scenario and time series diversity perspectives.

Given the relatively harsh natural environment in semi-arid valley areas, the attraction and radiation functions of semi-arid valley cities have become the foci of further development in Western China. This study takes Lanzhou City (a semi-arid river valley city) as an example and uses the theoretical framework of pressure-state-response to optimize the response strategies of the tourism environmental needs of the City's core stakeholders from the multi-scenario and time series diversity perspectives. Based on the index system of the tourism environment system (TES) in semi-arid valley cities, the system dynamics model is used to forecast the index system of the tourism environment from multi-scenario perspectives.