Arid Zone Research ›› 2025, Vol. 42 ›› Issue (6): 1093-1102.doi: 10.13866/j.azr.2025.06.12

• Ecology and Environment • Previous Articles     Next Articles

Evaluation of climate comfort for red tourism in the Shaanxi-Gansu-Ningxia Region based on GIS

JIN Shuang(), REN Jiahui, FENG Fang(), HUANG Qiaohua, HE Ping   

  1. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China
  • Received:2024-08-19 Revised:2024-11-05 Online:2025-06-15 Published:2025-06-11
  • Contact: FENG Fang E-mail:jinshuang@lzb.ac.cn;fengfangjs2006@163.com

Abstract:

Assessing climate comfort in the Shaanxi-Gansu-Ningxia region is essential for the development of red tourism and the promotion of ecological sustainability. Using daily meteorological data from 1953 to 2020, including average temperature, wind speed, and relative humidity, this study applies a comprehensive climate comfort evaluation model integrated with GIS-based spatial interpolation and zoning methods to systematically analyze the spatiotemporal distribution of climate comfort in the region. The results show that, temporally, the climate is generally comfortable from May to September, while discomfort prevails from December to February. Spatially, northern Shaanxi exhibits relatively favorable climatic conditions, whereas the southwestern Xihaigu region is less suitable in terms of climate comfort. Under the influence of global warming, the annual average number of comfortable days has increased, whereas the number of uncomfortable days has significantly decreased since 2000. Comprehensive zoning results indicate that southwestern and central high-altitude areas experience lower comfort levels, while other regions remain relatively favorable. Further analysis reveals that for each unit change in the climate comfort index, the red tourism visitor flow index changes by 0.593%. Notably, Yan’an, due to its rich red tourism resources and favorable climate, has a significantly higher attractiveness index than other regions. Future red tourism planning should be dynamically optimized to address climate change and evolving tourist preferences. This study offers a scientific basis for regional tourism development and the sustainable advancement of red tourism. A scientific reference for regional tourism development and the sustainable advancement of red tourism activities.

Key words: climate comfort degree, red tourism, Shaanxi-Gansu-Ningxia Region, comprehensive zoning, gravity model