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Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China

Chuanhua Zhu, Dunhui Xiao Orcid Logo, QinYao Sun

Spatial Data and Intelligence, Pages: 57 - 71

Swansea University Author: Dunhui Xiao Orcid Logo

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DOI (Published version): 10.1007/978-3-030-85462-1_5

Abstract

The optimization of spatial allocation of rural settlements in China requires an evaluation of rural land suitability and location optimization for the convenience of rural residents living and working. The main idea behind this study was to propose a new methodology to locate the most suitable site...

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Published in: Spatial Data and Intelligence
ISBN: 978-3-030-85461-4 978-3-030-85462-1
ISSN: 0302-9743 1611-3349
Published: Cham Springer International Publishing 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa58132
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Abstract: The optimization of spatial allocation of rural settlements in China requires an evaluation of rural land suitability and location optimization for the convenience of rural residents living and working. The main idea behind this study was to propose a new methodology to locate the most suitable sites for rural residents as considering their potential demand and supply. A geographic information system (GIS) based multiple criteria decision-making (MCDM) model was used to identify the most suitable areas and the unsuitable parts. The weighted information value method was used to assigning weight for influential factors. A case study was conducted for Tangjiahui, a hilly area in the central of China, by performing a town-wide suitability assessment. The very high suitability area is 4621.05 hm2, where is close to the road and with a moderate elevation and low slope, which contains 70.29% of residents. Finally, the maximal covering model was performed to determine the most suitable locations. Six sites were selected from 312 potential sites, which cover whole potential demand settlements with an average travel distance of 2.9 km. The result of location optimization is reasonable and therefore the methodology is applicable.
Keywords: Hilly area; Rural settlement; Weighted information value model; Land suitability analysis; Location optimization; Maximal covering
College: Faculty of Science and Engineering
Funders: Royal Society International Exchanges 2019 Cost Share (IEC\NSFC\191037)
Start Page: 57
End Page: 71

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