IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p7603-d844983.html
   My bibliography  Save this article

Spatial Evaluation of Villages and Towns Based on Multi-Source Data and Digital Technology: A Case Study of Suining County of Northern Jiangsu

Author

Listed:
  • Yuan Zhang

    (School of Architecture and Urban Planning, Nanjing University, Nanjing 210003, China)

  • Xiang Ji

    (Jiangsu Collaborative Innovation Center for Building Energy Saving and Construction Technology, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, China)

  • Liang Sun

    (School of Architecture and Design, China University of Mining and Technology, Xuzhou 221000, China)

  • Yaxi Gong

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221000, China)

Abstract

Based on the research on the current situation and transformation path of the spatial construction of villages and towns in northern Jiangsu, “compactness” and “convenience” are extracted as the elements of spatial evaluation. With multi-source data, comprehensively using ENVI remote sensing image interpretation, GIS spatial analysis, Fragstats landscape index calculation, entropy weight–TOPSIS comprehensive evaluation, and SPSS cluster analysis, a “digital full cycle” of a research framework for the spatial evaluation of villages and towns is built. In this paper, Suining County is taken as the research object, and the spatial construction level of its villages and towns is studied. The research results show that at the county level, the spatial compactness of villages and towns roughly presents the characteristics of an “X” pattern, decreasing from the middle to the four sides, while facility convenience generally presents the characteristics of a right “人” (Chinese character) pattern. At the town level, facility convenience basically presents the pattern characteristics of the “center-node” differentiation structure. The research aims to guide villages and towns to solve the current dilemma of spatial construction, promote the construction of digital villages and towns, and impel the digital transformation of the village and town evaluation system, data, and methods, so as to provide real-time, quantitative, and accurate data and method support for planning and decision-making in villages and towns.

Suggested Citation

  • Yuan Zhang & Xiang Ji & Liang Sun & Yaxi Gong, 2022. "Spatial Evaluation of Villages and Towns Based on Multi-Source Data and Digital Technology: A Case Study of Suining County of Northern Jiangsu," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7603-:d:844983
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/7603/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/13/7603/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nobuo Yoshida & Uwe Deichmann, 2009. "Measurement of Accessibility and Its Applications," Journal of Infrastructure Development, India Development Foundation, vol. 1(1), pages 1-16, June.
    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. Yaxi Gong & Xiang Ji & Yuan Zhang & Shanshan Cheng, 2023. "Spatial Vitality Evaluation and Coupling Regulation Mechanism of a Complex Ecosystem in Lixiahe Plain Based on Multi-Source Data," Sustainability, MDPI, vol. 15(3), pages 1-32, January.
    2. Sheng Zhang & Shimin Xu & Da Wan & Hui Liu & Lin Zhao & Lian Guo & Juan Ren, 2023. "Equalization Measurement and Optimization of the Public Cultural Facilities Distribution in Tianjin Central Area," Sustainability, MDPI, vol. 15(6), pages 1-22, March.

    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. Rosita De Vincentis & Federico Karagulian & Carlo Liberto & Marialisa Nigro & Vincenza Rosati & Gaetano Valenti, 2022. "A Data-Driven Approach to Analyze Mobility Patterns and the Built Environment: Evidence from Brescia, Catania, and Salerno (Italy)," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    2. Catherine Linard & Marius Gilbert & Robert W Snow & Abdisalan M Noor & Andrew J Tatem, 2012. "Population Distribution, Settlement Patterns and Accessibility across Africa in 2010," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-8, February.
    3. Stepniak, Marcin & Rosik, Piotr, 2013. "Accessibility improvement, territorial cohesion and spillovers: a multidimensional evaluation of two motorway sections in Poland," Journal of Transport Geography, Elsevier, vol. 31(C), pages 154-163.
    4. Atuesta, Laura H. & Ibarra-Olivo, J. Eduardo & Lozano-Gracia, Nancy & Deichmann, Uwe, 2018. "Access to employment and property values in Mexico," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 142-154.
    5. Banick, Robert & Heyns, Andries M. & Regmi, Suraj, 2021. "Evaluation of rural roads construction alternatives according to seasonal service accessibility improvement using a novel multi-modal cost-time model: A study in Nepal's remote and mountainous Karnali," Journal of Transport Geography, Elsevier, vol. 93(C).
    6. Kotavaara, Ossi & Antikainen, Harri & Rusanen, Jarmo, 2011. "Population change and accessibility by road and rail networks: GIS and statistical approach to Finland 1970–2007," Journal of Transport Geography, Elsevier, vol. 19(4), pages 926-935.
    7. repec:elg:eechap:14395_20 is not listed on IDEAS

    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:14:y:2022:i:13:p:7603-:d:844983. 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.