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Articles

Combining AHP with GIS in synthetic evaluation of environmental suitability for living in China's 35 major cities

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Pages 1603-1623 | Received 17 Jun 2011, Accepted 16 Nov 2011, Published online: 22 Feb 2012
 

Abstract

There are nearly 700 cities in China, each with their own particular characteristics of natural environment quality and rates of economic development. When people are able to choose a city to live in, they will take into account these characteristics in order to improve their lifestyles. Based on geographic information system technology and the analytic hierarchy process method, a model of the living environment suitability index (LESI) for the larger cities of China was designed. The LESI was constructed by using the factors of economic condition, convenience and livable degree, natural environment and natural resources. The LESI model was then applied to compare the living conditions in 35 major cities in China in 2007, including 30 provincial capitals and 5 sub-provincial cities. LESI values were higher for cities in southeast China than for cities in the northwest. The highest LESI values were mainly distributed along the Chinese southeast coast and the Yangtze River Delta. Cities with the lowest LESI values were found in the centre and north of China. Of the 35 cities, 4 had highly suitable living environments and 7 had unsuitable living environments.

Acknowledgements

The authors are grateful to the valuable comments from Dr Warwick Harris, Research Associate, Landcare Research New Zealand, Lishan Ran, Yingying Ran and two anonymous reviewers. The authors acknowledge Shunbao Liao, Juanle Wang, Yunqiang Zhu, Ming Feng and Ning Lu who ranked the factors. This study was financially supported by the Public Welfare Special Program, Ministry of Environmental Protection of the People's Republic of China (grant no. 201109075), National Natural Science Foundation of China (grant no. 40801180) and a Research Plan of the State Key Laboratory of Resource and Environment Information System (grant no. 088RA900KA).

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