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Conference Paper/Proceeding/Abstract 171 views 123 downloads

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

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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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last_indexed 2021-10-28T03:23:17Z
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spelling 2021-10-27T15:38:14.4308426 v2 58132 2021-09-28 Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China 62c69b98cbcdc9142622d4f398fdab97 0000-0003-2461-523X Dunhui Xiao Dunhui Xiao true false 2021-09-28 AERO 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. Conference Paper/Proceeding/Abstract Spatial Data and Intelligence 57 71 Springer International Publishing Cham 978-3-030-85461-4 978-3-030-85462-1 0302-9743 1611-3349 Hilly area; Rural settlement; Weighted information value model; Land suitability analysis; Location optimization; Maximal covering 15 8 2021 2021-08-15 10.1007/978-3-030-85462-1_5 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University Royal Society International Exchanges 2019 Cost Share (IEC\NSFC\191037) 2021-10-27T15:38:14.4308426 2021-09-28T14:48:27.1657064 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Chuanhua Zhu 1 Dunhui Xiao 0000-0003-2461-523X 2 QinYao Sun 3 58132__21067__ef0291de0b6d4f6fa24926aa310eeaee.pdf Optimal siting of rural settlement through a GIS-based assessment.pdf 2021-10-01T15:54:14.6431214 Output 1014763 application/pdf Accepted Manuscript true true eng
title Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China
spellingShingle Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China
Dunhui Xiao
title_short Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China
title_full Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China
title_fullStr Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China
title_full_unstemmed Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China
title_sort Optimal Siting of Rural Settlement Through a GIS-Based Assessment: A Case Study in China
author_id_str_mv 62c69b98cbcdc9142622d4f398fdab97
author_id_fullname_str_mv 62c69b98cbcdc9142622d4f398fdab97_***_Dunhui Xiao
author Dunhui Xiao
author2 Chuanhua Zhu
Dunhui Xiao
QinYao Sun
format Conference Paper/Proceeding/Abstract
container_title Spatial Data and Intelligence
container_start_page 57
publishDate 2021
institution Swansea University
isbn 978-3-030-85461-4
978-3-030-85462-1
issn 0302-9743
1611-3349
doi_str_mv 10.1007/978-3-030-85462-1_5
publisher Springer International Publishing
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 1
active_str 0
description 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.
published_date 2021-08-15T04:14:24Z
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score 11.013686

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