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

Author

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  • Yan Mao

    (School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Yanfang Liu

    (School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China)

  • Haofeng Wang

    (School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Wei Tang

    (School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Xuesong Kong

    (School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

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.

Suggested Citation

  • Yan Mao & Yanfang Liu & Haofeng Wang & Wei Tang & Xuesong Kong, 2017. "A Spatial-Territorial Reorganization Model of Rural Settlements Based on Graph Theory and Genetic Optimization," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:8:p:1370-:d:106832
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    References listed on IDEAS

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    1. Fotakis, Dimitris G. & Sidiropoulos, Epameinondas & Myronidis, Dimitriοs & Ioannou, Kostas, 2012. "Spatial genetic algorithm for multi-objective forest planning," Forest Policy and Economics, Elsevier, vol. 21(C), pages 12-19.
    2. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
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    Cited by:

    1. Sungsoo Yoon & Youngjoo Moon & Jinah Jeong & Chan-Ryul Park & Wanmo Kang, 2021. "A Network-Based Approach for Reducing Pedestrian Exposure to PM 2.5 Induced by Road Traffic in Seoul," Land, MDPI, vol. 10(10), pages 1-14, October.
    2. Bon-Gang Hwang & Ming Shan, 2018. "Management Strategies and Innovations: Important Roles to Sustainable Construction," Sustainability, MDPI, vol. 10(3), pages 1-3, February.
    3. Tian Tian & Stijn Speelman, 2021. "Pursuing Development behind Heterogeneous Ideologies: Review of Six Evolving Themes and Narratives of Rural Planning in China," Sustainability, MDPI, vol. 13(17), pages 1-16, September.
    4. Vasco Barbosa & Inés Santé-Riveira & Rafael Crecente-Maseda & Carlos Díaz Redondo & Juan Porta Trinidad & Jorge Parapar López & Ramón Doallo Biempica & José Ambrósio Ferreira Neto, 2022. "A New Spatial Criteria Method to Delimit Rural Settlements towards Boundaries Equity: Land Use Optimization for Decision Making in Galicia, NW Spain," Land, MDPI, vol. 11(6), pages 1-19, May.
    5. Ziyan Wang & Cheng Wang & Zehui Jiang & Tao Hu & Wenjing Han & Chang Zhang & Jiali Jin & Kaiyue Wei & Jiao Zhao & Xinyu Wang, 2020. "Relationship between Rural Settlements’ Plant Communities and Environmental Factors in Hilly Area of Southeast China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    6. Liu, Lun & Gao, Xuesong & Zhuang, Jiexin & Wu, Wen & Yang, Bo & Cheng, Wei & Xiao, Pengfei & Yao, Xingzhu & Deng, Ouping, 2020. "Evaluating the lifestyle impact of China’s rural housing land consolidation with locational big data: A study of Chengdu," Land Use Policy, Elsevier, vol. 96(C).
    7. Libang Ma & Xiaodong Guo & Yaya Tian & Yongli Wang & Meimei Chen, 2017. "Micro-Study of the Evolution of Rural Settlement Patterns and Their Spatial Association with Water and Land Resources: A Case Study of Shandan County, China," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    8. Yue Peng & Hui Qiu & Xinlu Wang, 2023. "The Influence of Spatial Functions on the Public Space System of Traditional Settlements," Sustainability, MDPI, vol. 15(11), pages 1-26, May.
    9. Su, Kangchuan & Hu, Baoqing & Shi, Kaifang & Zhang, Zhongxun & Yang, Qingyuan, 2019. "The structural and functional evolution of rural homesteads in mountainous areas: A case study of Sujiaying village in Yunnan province, China," Land Use Policy, Elsevier, vol. 88(C).

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