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

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 Ind...

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Main Authors: Ying Li, Shuhui Zhang, Jingting Han, Yi Zhao, Quan Han, Liyun Wu, Xin Wang, Ziyi Qiu, Tongqian Zou, Cheng Fan
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:International Journal of Digital Earth
Subjects:
Online Access:http://dx.doi.org/10.1080/17538947.2022.2041117
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author Ying Li
Shuhui Zhang
Jingting Han
Yi Zhao
Quan Han
Liyun Wu
Xin Wang
Ziyi Qiu
Tongqian Zou
Cheng Fan
author_facet Ying Li
Shuhui Zhang
Jingting Han
Yi Zhao
Quan Han
Liyun Wu
Xin Wang
Ziyi Qiu
Tongqian Zou
Cheng Fan
author_sort Ying Li
collection DOAJ
description 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 μm (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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spelling doaj.art-fb08ed47d29d43b2ad7e04a7c94b29da2023-09-21T14:57:11ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552022-12-0115152755210.1080/17538947.2022.20411172041117A study of the temporal and spatial variations in the suitability of the environment in Chinese cities for tourism and in strategies for optimizing the environmentYing Li0Shuhui Zhang1Jingting Han2Yi Zhao3Quan Han4Liyun Wu5Xin Wang6Ziyi Qiu7Tongqian Zou8Cheng Fan9Beijing International Studies UniversityBeijing International Studies UniversityBeijing International Studies UniversityBeijing International Studies UniversityBeijing International Studies UniversityBeijing International Studies UniversityBeijing International Studies UniversityBeijing International Studies UniversityBeijing International Studies UniversityAerospace Information Research Institute, Chinese Academy of SciencesWith 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 μm (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.http://dx.doi.org/10.1080/17538947.2022.2041117suitability of tourist environmentutcidelphi–ahp–topsisdecision support
spellingShingle Ying Li
Shuhui Zhang
Jingting Han
Yi Zhao
Quan Han
Liyun Wu
Xin Wang
Ziyi Qiu
Tongqian Zou
Cheng Fan
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
International Journal of Digital Earth
suitability of tourist environment
utci
delphi–ahp–topsis
decision support
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic suitability of tourist environment
utci
delphi–ahp–topsis
decision support
url http://dx.doi.org/10.1080/17538947.2022.2041117
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