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STUDY ON THE INFLUENCE OF TRAFFIC NETWORK CENTRALITY ON LAND USE INTENSITY: A CASE STUDY OF QINGDAO |
ZHANG Xue-jie1,2, WANG Cheng-xin1,2, WANG Bo-yang1,2, CHEN Yan-bin1,2 |
1. School of Geography and Environment, Shandong Normal University, Jinan 250014, China;
2. Shandong University Human Land Coordination and Green Development Collaborative Innovation Center, Jinan 266104, China |
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Abstract In order to optimize the layout of urban construction and improve the efficiency of urban land use, this paper studies the relationship between traffic and urban land use. Based on the vector data and POI data of Qingdao traffic network, this paper analyzes the correlation between traffic network and land use intensity in the central urban area of Qingdao from the perspective of centrality by using kernel density estimation method, geographically weighted regression model and multi-center evaluation model. The study found that the proximity centrality structure and linear centrality structure of the traffic road network in the central urban area of Qingdao showed a "center-periphery" model, and the intermediary centrality had a significant point-axis model; the layout of commercial, public services and residential land all showed a multi-center structure; the centrality of traffic road network had a strong correlation with land use intensity; the correlation between commercial land and public service land and traffic road network centrality was higher than that of residential land. The research innovatively revealed the spatial heterogeneity between traffic network and land use intensity from the micro-scale, and discovered the difference in the impact of different regions from a local perspective.
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Received: 29 October 2021
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