Chin. Geogra. Sci. 2013 V
ol. 23 No. 3 pp. 1–14 Springer Science Press doi: 10.1007/s11769-013-0609-6 https://www.doczj.com/doc/655033446.html,/content/1002-0063 Received date: 2012-08-20; accepted date: 2012-12-14
Foundation item: Under the auspices of National Natural Science Foundation of China (No. 41201168), the Fundamental Research Funds for the Central Universities (No. 2012HGXJ0047)
Corresponding author: FANG Chuanglin. E-mail: fangcl@https://www.doczj.com/doc/655033446.html,
? Science Press, Northeast Institute of Geography and Agroecology, CAS and Springer-Verlag Berlin Heidelberg 2013 Urban Construction Land Suitability Evaluation Based on Improved Multi-criteria Evaluation Based on GIS (MCE-GIS): Case of New Hefei City, China
ZHANG Xiaorui 1, 2, FANG Chuanglin 1, WANG Zhenbo 1, MA Haitao 1
(1. Institute of Geographic Sciences and Natural Resources Research , Chinese Academy of Sciences , Beijing 100101, China ; 2. De-partment of Urban Planning , Hefei University of Technology , Hefei 230009, China )
Abstract: Urban construction land suitability evaluation (UCLSE) is a complex system engineering and the basis for rational use of the limited urban land resources in China. It has an important practical value on urban construction land use planning and management from the angle of methodology. As a widely used technique, traditional multi-criteria evaluation based on GIS (MCE-GIS), is not suitable for UCLSE. This study develops an improved MCE-GIS method which could be more suitable for UCLSE based on urban complex ecological system theory and the summary of the shortcomings of traditional MCE-GIS. The improvements include three aspects: a composite evaluation index system rather than natural indexes alone, an index weight calculated by using fuzzy Analytic Hierarchy Process (AHP) method rather than the common AHP method, and the integrated overlay rule, which includes selecting the minimum value, weighted linear combination (WLC) and simple summation. The main advantage of this improved technique is that it can make UCLSE more comprehensive, more operational and more reasonable. It can provide a scientific basis for decision making in the planning and management of urban construction land use. The improved MCE-GIS system has been adopted in the New Hefei City, Anhui Province, China. Based on the results of UCLSE in New Hefei, three functional areas including construction-appropriate areas, construction-restricted areas and construction-forbidden areas could be worked out, in which 36.90% of the total study area could be developed as urban construction land and the remaining 63.10% should be protected as reserves land or as ecological land. Furthermore, the results can provide scientific decision support for spatial planning and eco-environment protection in New Hefei.
Keywords: urban construction land suitability evaluation (UCLSE); multi-criteria evaluation based on GIS (MCE-GIS); New Hefei
Citation: Zhang Xiaorui, Fang Chuanglin, Wang Zhenbo, Ma Haitao. Urban construction land suitability evaluation based on improved multi-criteria evaluation based on GIS (MCE-GIS): Case of New Hefei City, China. Chinese Geographical Science , doi: 10.1007/s11769-013-0609-6
1 Introduction
Urbanization in China has been greatly accelerated since
China adopted the reform and opening-up policy in
1978 and especially after 1990. Expansion of urban
construction land area accompanied by high-speed ur-
banization is a remarkable phenomenon in the mainland
of China (Chen et al., 2008). However, with the rapid
increase in urban construction land areas, China is fac-ing enormous pressure because of a shortage of urban land resources and a long-term overloaded state. In fact, the lack of land resources highlighted by accelerated consumption of construction land resources has become a bottleneck that affects the healthy and sustainable de-velopment of Chinese cities (Jin, 2006). For the past 20 years, the annual growth rate of China ′s urban construc-tion land area has been 4%, which is much higher than the average of 1.2% in the developed regions of the