IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2409-d334390.html
   My bibliography  Save this article

Suitability Evaluation and Layout Optimization of the Spatial Distribution of Rural Residential Areas

Author

Listed:
  • Pengfei Guo

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China)

  • Fangfang Zhang

    (Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Haiying Wang

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Institute of Urban Big Data, Henan University, Kaifeng 475004, China)

  • Fen Qin

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Institute of Urban Big Data, Henan University, Kaifeng 475004, China)

Abstract

A reasonable layout optimization strategy of rural residential areas can improve the quality of life of rural residents and promote rural revitalization. Evaluating the suitability of rural residential areas is the basis of layout optimization. Based on 1:100,000 land cover data and a digital elevation model (30 m) for the Henan Province, China, we used the minimum cumulative resistance model to evaluate the spatial distribution suitability of rural settlements in the Zhengzhou administrative area (abbreviated: Zhengzhou). Then, we used a weighted Voronoi diagram to determine the scope of influence of central villages and determined the direction of relocation for the “combined migration” rural residential areas. The study results support the following conclusions: (1) the comprehensive resistance value of rural residential areas in the Northeastern part of Zhengzhou is low and the suitability is high. However, the comprehensive resistance value of the Southwestern part is high and the suitability is low. (2) The study area can be divided into highly suitable areas, suitable areas, generally suitable areas, unsuitable areas, and extremely unsuitable areas. Unsuitable areas and extremely unsuitable areas accounted for 33.66% of the total area and included 662 rural residential areas. (3) The rural residential areas were divided into four types of optimization: urbanization, key development, controlled development, and combined migration. Based on an analysis of the characteristics of each type of rural residential area, we proposed corresponding optimization strategies. The results remedy the lack of layout optimization strategies for large-scale rural residential areas and can provide support for the optimization of the layout of rural residential areas in Zhengzhou. Furthermore, the research techniques may apply to other regions.

Suggested Citation

  • Pengfei Guo & Fangfang Zhang & Haiying Wang & Fen Qin, 2020. "Suitability Evaluation and Layout Optimization of the Spatial Distribution of Rural Residential Areas," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2409-:d:334390
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2409/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/6/2409/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ge, Dazhuan & Wang, Zhihua & Tu, Shuangshuang & Long, Hualou & Yan, Huili & Sun, Dongqi & Qiao, Weifeng, 2019. "Coupling analysis of greenhouse-led farmland transition and rural transformation development in China’s traditional farming area: A case of Qingzhou City," Land Use Policy, Elsevier, vol. 86(C), pages 113-125.
    2. Carmen Carrión-Flores & Elena G. Irwin, 2004. "Determinants of Residential Land-Use Conversion and Sprawl at the Rural-Urban Fringe," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 889-904.
    3. Caulfield, Mark & Bouniol, Judith & Fonte, Steven J. & Kessler, Aad, 2019. "How rural out-migrations drive changes to farm and land management: A case study from the rural Andes," Land Use Policy, Elsevier, vol. 81(C), pages 594-603.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tingting Pan & Yu Zhang & Fengqin Yan & Fenzhen Su, 2023. "Collaborative Optimal Allocation of Urban Land Guide by Land Ecological Suitability: A Case Study of Guangdong–Hong Kong–Macao Greater Bay Area," Land, MDPI, vol. 12(4), pages 1-17, March.
    2. Zheng Zhu & Qingyun He & Xiang Zhu, 2022. "Spatial Analysis for the Landscape Visual Aesthetic Quality of Urban Residential Districts Based on 3D City Modeling," Sustainability, MDPI, vol. 14(18), pages 1-28, September.
    3. Xiaoteng Cao & Chaofu Wei & Deti Xie, 2021. "Evaluation of Scale Management Suitability Based on the Entropy-TOPSIS Method," Land, MDPI, vol. 10(4), pages 1-17, April.
    4. Qingqing Ye & Jiwei Li & Xuesong Kong & Shaokai Zhang, 2021. "Identification and Optimization of the Spatial Structure of Urban and Rural Settlements from a Hierarchical Network Perspective," Land, MDPI, vol. 10(11), pages 1-21, November.
    5. Yao Qian & Qingyuan Yang & Haozhe Zhang & Kangchuan Su & Huiming Zhang & Xiaochi Qu, 2022. "The Impact of Farming Households’ Livelihood Vulnerability on the Intention of Homestead Agglomeration: The Case of Zhongyi Township, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    6. Linzhong Luo & Chaoxian Yang & Rongrong Chen & Weiping Liu, 2023. "Comprehensive Land Consolidation Zoning Based on Minimum Cumulative Resistance Model—A Case Study of Chongqing, Southwest China," Land, MDPI, vol. 12(10), pages 1-23, October.
    7. Zhiyuan Yang & Dong Yang & Jingjie Geng & Fengxia Tian, 2022. "Evaluation of Suitability and Spatial Distribution of Rural Settlements in the Karst Mountainous Area of China," Land, MDPI, vol. 11(11), pages 1-21, November.
    8. Yan Yan & Qingyuan Yang & Kangchuan Su & Guohua Bi & Yuanqing Li, 2022. "Farmers’ Willingness to Gather Homesteads and the Influencing Factors—An Empirical Study of Different Geomorphic Areas in Chongqing," IJERPH, MDPI, vol. 19(9), pages 1-15, April.
    9. Yafeng Zou & Chengfeng Yi & Yufei Rao & Feng Luo & Changhe Lv & Pinqi Wu, 2023. "Identify Optimization Type of Rural Settlements Based on “Production–Living–Ecological” Functions and Vitality: A Case Study of a Town in Northern China," Land, MDPI, vol. 12(10), pages 1-27, October.
    10. Shangkun Yu & Yi Miao & Mengcheng Li & Xiaoming Ding & Chengxin Wang & Wangsheng Dou, 2022. "Theoretical Development Model for Rural Settlements against Rural Shrinkage: An Empirical Study on Pingyin County, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    11. Jizhe Zhou & Yanhong Jiang & Shaolin Niu & Lan Li & Weijia Li & Yahui Zhang & Dongyang Liu, 2023. "Spatial Optimization of Rural Settlements in a Small Watershed Based on Social Network Analysis," Networks and Spatial Economics, Springer, vol. 23(3), pages 799-823, September.
    12. Yaqiong Duan & Su Chen & Lingda Zhang & Dan Wang & Dongyang Liu & Quanhua Hou, 2023. "Spatial Distribution Characteristic and Type Classification of Rural Settlements: A Case Study of Weibei Plain, China," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    13. Xiang Xu & Paolo Vincenzo Genovese & Yafei Zhao & Yidan Liu & Eyasu Markos Woldesemayat & Abraham Nathan Zoure, 2022. "Geographical Distribution Characteristics of Ethnic-Minority Villages in Fujian and Their Relationship with Topographic Factors," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    14. Yingbin Feng & Jingjing Li & Dedong Feng, 2023. "Research on Spatial Restructuring of Farmers’ Homestead Based on the “Point-Line-Surface” Characteristics of Mountain Villages," Land, MDPI, vol. 12(8), pages 1-22, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cho, Seong-Hoon & Kim, Heeho & Roberts, Roland K. & Kim, Taeyoung & Lee, Daegoon, 2014. "Effects of changes in forestland ownership on deforestation and urbanization and the resulting effects on greenhouse gas emissions," Journal of Forest Economics, Elsevier, vol. 20(1), pages 93-109.
    2. Lin, Huiyan & Lu, Kang Shou & Espey, Molly & Allen, Jeffery, 2005. "Modeling Urban Sprawl and Land Use Change in a Coastal Area-- A Neural Network Approach," 2005 Annual meeting, July 24-27, Providence, RI 19364, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Chen, Kunqiu & Long, Hualou & Liao, Liuwen & Tu, Shuangshuang & Li, Tingting, 2020. "Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence," Land Use Policy, Elsevier, vol. 92(C).
    4. Changchun Feng & Hao Zhang & Liang Xiao & Yongpei Guo, 2022. "Land Use Change and Its Driving Factors in the Rural–Urban Fringe of Beijing: A Production–Living–Ecological Perspective," Land, MDPI, vol. 11(2), pages 1-18, February.
    5. Carrión-Flores, Carmen E. & Flores-Lagunes, Alfonso & Guci, Ledia, 2018. "An estimator for discrete-choice models with spatial lag dependence using large samples, with an application to land-use conversions," Regional Science and Urban Economics, Elsevier, vol. 69(C), pages 77-93.
    6. Qingqing Yang & Yanhui Gao & Xinjun Yang & Jian Zhang, 2022. "Rural Transformation Driven by Households’ Adaptation to Climate, Policy, Market, and Urbanization: Perspectives from Livelihoods–Land Use on Chinese Loess Plateau," Agriculture, MDPI, vol. 12(8), pages 1-23, July.
    7. Barry Kew & Brian D. Lee, 2013. "Measuring Sprawl across the Urban Rural Continuum Using an Amalgamated Sprawl Index," Sustainability, MDPI, vol. 5(5), pages 1-23, April.
    8. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    9. Tao, Jieyi & Lu, Yuqi & Ge, Dazhuan & Dong, Ping & Gong, Xiao & Ma, Xiaobin, 2022. "The spatial pattern of agricultural ecosystem services from the production-living-ecology perspective: A case study of the Huaihai Economic Zone, China," Land Use Policy, Elsevier, vol. 122(C).
    10. Thériault, Marius & Le Berre, Iwan & Dubé, Jean & Maulpoix, Adeline & Vandersmissen, Marie-Hélène, 2020. "The effects of land use planning on housing spread: A case study in the region of Brest, France," Land Use Policy, Elsevier, vol. 92(C).
    11. Suzanne Vallance, 2014. "Living on the Edge: Lessons from the Peri-urban Village," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 38(6), pages 1954-1969, November.
    12. Li, Sheng & Nadolnyak, Denis & Hartarska, Valentina, 2019. "Agricultural land conversion: Impacts of economic and natural risk factors in a coastal area," Land Use Policy, Elsevier, vol. 80(C), pages 380-390.
    13. Maples, Chellie H. & Hagerman, Amy D. & Lambert, Dayton M., 2022. "Ex-ante effects of the 2018 Agricultural Improvement Act’s grassland initiative," Land Use Policy, Elsevier, vol. 116(C).
    14. Martinetti, Davide & Geniaux, Ghislain, 2017. "Approximate likelihood estimation of spatial probit models," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 30-45.
    15. Lynch, Lori & Geoghegan, Jacqueline, 2011. "FOREWORD: The Economics of Land Use Change: Advancing the Frontiers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), pages 1-6, December.
    16. Xiao Lyu & Yanan Wang & Yuntai Zhao & Shandong Niu, 2022. "Spatio‐temporal pattern and mechanism of coordinated development of “population–land–industry–money” in rural areas of three provinces in Northeast China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1333-1361, September.
    17. Kathleen P. Bell & Timothy J. Dalton, 2007. "Spatial Economic Analysis in Data‐Rich Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 487-501, September.
    18. Ludo Peeters, 2006. "Job Opportunities, Amenities, and Variable Distance-Deterrence Elasticities: An Empirical Model of Inter-Municipal Migration in Belgium," ERSA conference papers ersa06p585, European Regional Science Association.
    19. Xinyi Li & Xiong Wang & Xiaoqing Song, 2021. "Impacts of Agricultural Capitalization on Regional Paddy Field Change: A Production-Factor Substitution Perspective," IJERPH, MDPI, vol. 18(4), pages 1-18, February.
    20. W. Saart, Patrick & Kim, Namhyun & Bateman, Ian, 2021. "Understanding spatial heterogeneity in GB agricultural land-use for improved policy targeting," Cardiff Economics Working Papers E2021/8, Cardiff University, Cardiff Business School, Economics Section.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2409-:d:334390. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.