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Identification of urban functions enhancement and weakening based on urban land use conversion: A case study of Changchun, China

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  • Guolei Zhou
  • Chenggu Li
  • Jing Zhang

Abstract

A deep understanding of urban functions is the basis for the optimization of urban spatial structure and for the sustainable development of urban space. Previous research mainly focused on the identification and classification of urban functions using a variety of data and methods; however, little attention has been paid to the quantitative measurement of changes in urban functions, and to their temporal and spatial evolution. With the help of urban land use maps, we used the overlay analysis and the transition matrix to quantitatively measure the enhancement and weakening of urban functions and their spatial differences, by analyzing the relationship between urban land development and redevelopment. Accordingly, the change state of urban function enhancement and weakening could be divided into six categories. Moreover, the results of research on residential, commercial, public service, and industrial functions show that changes in different urban functions have different temporal and spatial characteristics. Our findings on the enhancement and weakening of urban functions in the central city of Changchun provide theoretical support for the sustainable development of urban space in the future.

Suggested Citation

  • Guolei Zhou & Chenggu Li & Jing Zhang, 2020. "Identification of urban functions enhancement and weakening based on urban land use conversion: A case study of Changchun, China," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-14, June.
  • Handle: RePEc:plo:pone00:0234522
    DOI: 10.1371/journal.pone.0234522
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    References listed on IDEAS

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    1. Martijn Burger & Evert Meijers, 2012. "Form Follows Function? Linking Morphological and Functional Polycentricity," Urban Studies, Urban Studies Journal Limited, vol. 49(5), pages 1127-1149, April.
    2. Qingke Gao & Jianhong Fu & Yang Yu & Xuehua Tang, 2019. "Identification of urban regions’ functions in Chengdu, China, based on vehicle trajectory data," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-17, April.
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