4.7 Article

A study of the temporal and spatial variations in the suitability of the environment in Chinese cities for tourism and in strategies for optimizing the environment

期刊

INTERNATIONAL JOURNAL OF DIGITAL EARTH
卷 15, 期 1, 页码 527-552

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/17538947.2022.2041117

关键词

Suitability of tourist environment; UTCI; Delphi-AHP-TOPSIS; decision support

资金

  1. Beijing Social Science Fund [20GLC064]
  2. State Key Laboratory of Resources and Environmental Information System, CAS
  3. National Natural Science Foundation of China [71673015/G031031, 42071199]
  4. 2020 National Social Science Fund Art Major Project of China (the International Comparative Study on National Cultural Park Policy) [20ZD02]
  5. Beijing International Studies University's 2020 Youth Academic Talents Program (Research on hourly tourism suitability prediction of tourism cities based on big data and remote sensing technology)
  6. 2020 New Teaching Staff's Scientific Research Sailing Plan (Study on dynamic assessment of haze population exposure risk in tourism cities) [KYQH20A011]
  7. National Social Science Fund Project: Research on the coordination mechanism between heritage protection and tourism utilization of National Cultural Park [21bh157]

向作者/读者索取更多资源

With the aim of guaranteeing the interests and health of tourists, this study comprehensively evaluates the suitability of the environment in different cities in China for tourism by considering the impacts of climate, vegetation, and environmental factors on health. It is found that Chinese cities vary greatly in terms of the suitability of their environments for tourism, with the vegetation leaf area index being an important factor.
With the aim of guaranteeing the interests and health of tourists, this study comprehensively evaluates the suitability of the environment in different cities in China for tourism by considering the impacts of climate, vegetation and environmental factors on health. The Universal Thermal Climate Index (UTCI), total precipitation (PREC), Vegetation Leaf Area Index (LAI), concentration of particulate matter with a diameter of less than 2.5 mu m (PM2.5), and the downward UV radiation at the surface (UVB) are used as indices. In addition, the Delphi-AHP-TOPSIS algorithm is introduced and is used for the comprehensive evaluation of the environmental suitability of 684 cities in China for tourism in 2019. It is found that Chinese cities vary greatly in terms of the suitability of their environments for tourism. Among the factors that affect the environmental suitability, the LAI is important, with an increase in the LAI generally being advantageous. In contrast, an increase in the PM2.5 concentration is a key factor that limits the environmental suitability of an area. Thus, urban landscaping and control of the atmospheric quality are essential and effective ways of improving the suitability of the environment of cities in China for tourists.

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