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Assessment Framework and Decision—Support System for Consolidating Urban-Rural Construction Land in Coastal China

Author

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  • Fangfang Cai

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China)

  • Lijie Pu

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China
    The Key Laboratory of the Coastal Zone Exploitation and Protection, Ministry of Land and Resources, Nanjing 210023, China)

  • Ming Zhu

    (School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China)

Abstract

Urbanization transforms urban-rural landscape and profoundly affects ecological processes. To maintain a sustainable urbanization, two important issues of land-use need to be quantified: the comprehensive variation of urban-rural construction land and the specific models for consolidating these lands. The purpose of this study is to develop a framework to assess the change of urban-rural construction land and build a decision-support system for consolidating these lands. Four sub-layers were first built in the assessment framework, including the characteristic layer, the coordination layer, the potential layer and the urgency layer. Each layer encompassed specific indices for evaluating the change of urban-rural construction land in different aspects. The entropy method was then applied to the data resources from Landsat TM (Thematic Mapper) images, statistical data and overall land-use and land consolidation planning of Nantong city in coastal China to allocate weightings to the indices in each sub-layer. Finally, the decision-support system was built based on the assessment results and the degree of importance for consolidating urban and rural construction land, respectively. The results of our study show an overall investigation and quantitative description of the change of urban-rural construction land and provide an effective framework for land consolidation and land use management.

Suggested Citation

  • Fangfang Cai & Lijie Pu & Ming Zhu, 2014. "Assessment Framework and Decision—Support System for Consolidating Urban-Rural Construction Land in Coastal China," Sustainability, MDPI, vol. 6(11), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:11:p:7689-7709:d:41879
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    References listed on IDEAS

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    1. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.
    2. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    3. Paul Vander Meer, 1975. "Land Consolidation through Land Fragmentation: Case Studies from Taiwan," Land Economics, University of Wisconsin Press, vol. 51(3), pages 275-283.
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    Cited by:

    1. Dong Ouyang & Xigang Zhu & Xingguang Liu & Renfei He & Qian Wan, 2021. "Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China," Land, MDPI, vol. 10(7), pages 1-21, June.
    2. Jiwei Li & Qingqing Ye & Weiqiang Chen & Xuesong Kong & Qingsheng Bi & Jie Lu & Enxiang Cai & Hejie Wei & Xinwei Feng & Yulong Guo, 2022. "An Analysis Method of Quantitative Coupling Rationality between Urban–Rural Construction Land and Population: A Case Study of Henan Province in China," Land, MDPI, vol. 11(5), pages 1-18, May.
    3. Yves Hategekimana & Lijun Yu & Yueping Nie & Jianfeng Zhu & Fang Liu & Fei Guo, 2018. "Integration of multi-parametric fuzzy analytic hierarchy process and GIS along the UNESCO World Heritage: a flood hazard index, Mombasa County, Kenya," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(2), pages 1137-1153, June.

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