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The research on identification and spatial pattern of urban mixed land-use: A case study of Chengdu.

Authors :
Deng, Pengzhi
Huang, Qing
Liu, Fei
Wang, Zeyu
Liu, Manshuang
Source :
Ecological Indicators. Oct2023, Vol. 154, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• The measurement model is reliable to unveil the spatial pattern of mixed land-use. • Public awareness is a novel and reliable indicator for correcting POI data. • The layout of mixed land-use in Chengdu is unevenly distributed in space. • There is a significant spatial correlation between mixed plots at the same level. • Optimizing the layout of mixed land can improve land use efficiency. In the context of urban quality enhancement, resilience focus, and the promotion of human-centered urbanization, a well-structured mixed land-use layout plays a pivotal role in intensifying conservation land use, enhancing land use efficiency, and improving residents' living environments. The existing research on measuring mixed land parcels is hampered by a lack of area and category data for POI point data, and some methods neglect the variations in function quantities. This paper establishes an optimal calculation model by incorporating the weighted optimization of POI data, introduces the concept of land gravity to supplement the entropy method, and computes the distribution of mixed land-use patterns. This paper analyzes both the spatial patterns of mixed land-use in urban areas and the potential laws governing the combination of internal functions. The results demonstrate that mixed-use parcels exhibit a spatial pattern resembling a "1 + n" pole-axis structure and a "T-type" development trend. Regarding the internal function combination, mixed-use parcels are generally found to include commercial and transportation functions. The paper provides suggestions and discussions on optimizing the layout and function structure of mixed land-use, offering a reference for current urban mixed land-use planning. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1470160X
Volume :
154
Database :
Academic Search Index
Journal :
Ecological Indicators
Publication Type :
Academic Journal
Accession number :
171955431
Full Text :
https://doi.org/10.1016/j.ecolind.2023.110891