打印

作者

Yujing Wang;Yi Deng;Fu Ren;Ruoxin Zhu;Pei Wang;Tian Du;Qingyun Du

来源

CITIES,Vol.96,Issue1,Article 102406

语言

英文

关键字

Spatial network;Urban bus network;Urban bus spatial network;Geospatial network analysis

作者单位

School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China;Key laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China;Geomatics Center of Zhejiang, Hangzhou 310012, China;Chair of Cartography, Technical University of Munich, Munich 80333, Germany;Department of Cartography, Zhengzhou Institute of Surveying and Mapping, Zhengzhou 450052, China;School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China;Key laboratory of Geographic Information Systems, Ministry of Education, Wuhan University, Luoyu Road 129, Wuhan 430079, China;Geomatics Center of Zhejiang, Hangzhou 310012, China;Chair of Cartography, Technical University of Munich, Munich 80333, Germany;Department of Cartography, Zhengzhou Institute of Surveying and Mapping, Zhengzhou 450052, China

摘要

In urban areas, the spatial configuration of urban elements is vital to the sustainable development of cities. Due to the inherent spatial and networked characteristics of UBNs, research on the spatial configuration of UBNs requires a comprehensive approach involving the integration of spatial and network analysis methods. We propose a methodological framework for geospatial network analysis that combines spatial and network analysis to analyse the spatial configuration of UBNs. This framework is based on the construction of an urban bus spatial network (UBSN) in which the network nodes are spatial division units of urban space with more realistic geographical significance. Then, the framework analyses the spatial configuration of the UBN from the identification of macroscopic statistical characteristics to reveal the explicit roles played by microscopic elements such as individual nodes and to further identify the mesoscopic structural organization. The importance of nodes has spatial heterogeneity and directional imbalance. The community detection results demonstrate the UBSN presents obvious spatial agglomeration features, and the overlapping nodes are mostly distributed in the suburbs. With a novel viewpoint and detailed description of the spatial configuration of UBNs, this study provides meaningful insights for policy makers and planners seeking to optimize traffic infrastructure planning.