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钟晨-Detecting the dynamics of urban structure through spatial network analysis

发布日期:2014-12-09 16:26:56 阅读次数:[6878]次 作者:

核心提示:来源出版物: INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

标题: Detecting the dynamics of urban structure through spatial network analysis
作者: Zhong, C (Zhong, Chen); Arisona, SM (Arisona, Stefan Mueller); Huang, XF (Huang, Xianfeng); Batty, M (Batty, Michael); Schmitt, G (Schmitt, Gerhard)
 卷: 28  期: 11  页: 2178-2199  DOI: 10.1080/13658816.2014.914521  出版年: NOV 2 2014  
摘要: Urban spatial structure in large cities is becoming ever more complex as populations grow in size, engage in more travel, and have increasing amounts of disposable income that enable them to live more diverse lifestyles. These trends have prominent and visible effects on urban activity, and cities are becoming more polycentric in their structure as new clusters and hotspots emerge and coalesce in a wider sea of urban development. Here, we apply recent methods in network science and their generalization to spatial analysis to identify the spatial structure of city hubs, centers, and borders, which are essential elements in understanding urban interactions. We use a 'big' data set for Singapore from the automatic smart card fare collection system, which is available for sample periods in 2010, 2011, and 2012 to show how the changing roles and influences of local areas in the overall spatial structure of urban movement can be efficiently monitored from daily transportation.
In essence, we first construct a weighted directed graph from these travel records. Each node in the graph denotes an urban area, edges denote the possibility of travel between any two areas, and the weight of edges denotes the volume of travel, which is the number of trips made. We then make use of (a) the graph properties to obtain an overall view of travel demand, (b) graph centralities for detecting urban centers and hubs, and (c) graph community structures for uncovering socioeconomic clusters defined as neighborhoods and their borders. Finally, results of this network analysis are projected back onto geographical space to reveal the spatial structure of urban movements. The revealed community structure shows a clear subdivision into different areas that separate the population's activity space into smaller neighborhoods. The generated borders are different from existing administrative ones. By comparing the results from 3years of data, we find that Singapore, even from such a short time series, is developing rapidly towards a polycentric urban form, where new subcenters and communities are emerging largely in line with the city's master plan.
To summarize, our approach yields important insights into urban phenomena generated by human movements. It represents a quantitative approach to urban analysis, which explicitly identifies ongoing urban transformations.
地址: [Zhong, Chen; Arisona, Stefan Mueller; Schmitt, Gerhard] ETH, Dept Architecture, Future Cities Lab, Zurich, Switzerland.
[Arisona, Stefan Mueller] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore.
[Huang, Xianfeng] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China.
[Batty, Michael] UCL, Ctr Adv Spatial Anal, London, England.
通讯作者地址: Zhong, C (通讯作者),ETH, Dept Architecture, Future Cities Lab, Zurich, Switzerland.
电子邮件地址: zhong@arch.ethz.ch
ISSN: 1365-8816
eISSN: 1362-3087

 

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