A hierarchical spatial unit partitioning approach for fine-grained urban functional region identification

Jing, C., Zhang, H., Xu, S., Wang, M. , Zhuo, F. and Liu, S. (2022) A hierarchical spatial unit partitioning approach for fine-grained urban functional region identification. Transactions in GIS, 26(6), pp. 2691-2715. (doi: 10.1111/tgis.12979)

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Abstract

Urban functional regions (UFRs) are formed and developed with human social actions and can reflect urban land use types. Appropriately identifying UFRs helps solve existing urban problems, optimize the spatial structure of cities, and provide a database for sustainable urban development. Most existing studies focus on developing novel methods and fusing multiple data sources, but neglect the impact of heterogeneous spatial units on UFR identification results. In this work, a hierarchical spatial unit partition approach was proposed to split the research area into many hierarchical units whilst considering the mixed degree of each unit. We further explored its capacity for identifying UFRs by integrating it with three widely used UFR identification methods. The results reveal that our proposed approach can correctly identify 10% more UFRs compared with the traditional grid-based method, showing the efficiency of our proposed approach for identifying UFRs at a finer scale. This work provides support for those who are engaged in urban planning and urban policymaking, promoting urban sustainable development.

Item Type:Articles
Additional Information:This study is jointly supported by the National Natural Science Foundation of China (Grant #41930650), the Beijing Natural Science Foundation (Grant #8222009), and the Pyramid Talent Training Project of BUCEA (Grant #JDJQ20200306).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Wang, Dr Mingshu
Authors: Jing, C., Zhang, H., Xu, S., Wang, M., Zhuo, F., and Liu, S.
College/School:College of Science and Engineering > School of Geographical and Earth Sciences
Journal Name:Transactions in GIS
Publisher:Wiley
ISSN:1361-1682
ISSN (Online):1467-9671
Published Online:04 September 2022
Copyright Holders:Copyright © 2022 John Wiley and Sons Ltd.
First Published:First published in Transactions in GIS 26(6): 2691-2715
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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