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Sustainability 2017, 9(8), 1370; doi:10.3390/su9081370

A Spatial-Territorial Reorganization Model of Rural Settlements Based on Graph Theory and Genetic Optimization

1
School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 26 June 2017 / Revised: 25 July 2017 / Accepted: 28 July 2017 / Published: 3 August 2017
(This article belongs to the Special Issue Management Strategies and Innovations for Sustainable Construction)
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Abstract

Rural China has experienced rapid urbanization and industrialization, accompanied with rural–urban migration since 1978. This tremendous transition has caused a series of negative consequences, necessitating a spatial-territorial reorganization of rural settlements. Previous studies on the restructuring of rural settlements are insufficient for inter-settlement connection consideration and practical and dynamic decision-making techniques. To overcome these concerns, a dynamic spatial-territorial reorganization model (SRM) of rural settlement is proposed herein based on graph theory and genetic algorithm (GA). The model involves two parts. In Part 1, consolidated settlements are identified according to the socio-economic network performance under four types of attack. In Part 2, GA model is repeatedly executed to scientifically resettle consolidated settlements into nearby townships or central settlements with objectives of suitability, compactness, and local connectivity under the control of the constraints. This paper presents an application of SRM to Chengui Town, Hubei Province. Empirical results suggest that: (1) removing settlements in order of node degree is the least efficient way to destroy the entire functional system; and (2) the proposed model can yield satisfactory solutions in terms of spatial reorganization of settlements. The SRM may also serve as a valuable reference for planners in devising plans and making decisions. View Full-Text
Keywords: spatial-territorial reorganization; rural settlements; graph theory; genetic algorithm; local connectivity; robustness spatial-territorial reorganization; rural settlements; graph theory; genetic algorithm; local connectivity; robustness
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Mao, Y.; Liu, Y.; Wang, H.; Tang, W.; Kong, X. A Spatial-Territorial Reorganization Model of Rural Settlements Based on Graph Theory and Genetic Optimization. Sustainability 2017, 9, 1370.

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