The Interactive Relationship between Street Centrality and Land Use Intensity—A Case Study of Jinan, China

Chengzhen Song, Qingfang Liu, Jinping Song (), Ding Yang, Zhengyun Jiang, Wei Ma, Fuchang Niu and Jinmeng Song
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Chengzhen Song: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Qingfang Liu: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jinping Song: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Ding Yang: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Zhengyun Jiang: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Wei Ma: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Fuchang Niu: Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
Jinmeng Song: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

IJERPH, 2023, vol. 20, issue 6, 1-20

Abstract: It is of great significance to study the interactive relationship between urban transportation and land use for promoting the healthy and sustainable development of cities. Taking Jinan, China, as an example, this study explored the interactive relationship between street centrality (SC) and land use intensity (LUI) in the main urban area of Jinan by using the spatial three-stage least squares method. The results showed that the closeness centrality showed an obvious “core-edge” pattern, which gradually decreased from the central urban area to the edge area. Both the betweenness centrality and the straightness centrality showed a multi-center structure. The commercial land intensity (CLUI) showed the characteristics of multi-core spatial distribution, while the residential land intensity (RLUI) and public service land intensity (PLUI) showed the characteristics of spatial distribution with the coexistence of large and small cores. There was an interactive relationship between SC and LUI. The closeness centrality and straightness centrality had positive effects on LUI, and LUI had a positive effect on closeness centrality and straightness centrality. The betweenness centrality had a negative impact on LUI, and LUI also had a negative impact on betweenness centrality. Moreover, good location factors and good traffic conditions were conducive to improving the closeness and straightness centrality of the regional traffic network. Good location factors, good traffic conditions and high population density were conducive to improving regional LUI.

Keywords: street centrality; land use intensity; POI data; multiple centrality assessment model; Jinan; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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