Implementation evaluation of Beijing urban master plan based on subway transit smart card data

Urban planning is a decision process that needs to mine rich information to serve plan development, decision making and plan implementation evaluation. There is little research to date on the evaluation of urban master plan implementation by big data. This study aims to analyze Beijing subway transit smart card data and evaluate the implementation of Beijing's urban master plan (2004-2020). This paper introduces the conceptual framework of the study including: a literature review; an analysis of master plan implementation evaluation requirements; and the features of subway transit smart card data. The research approaches are described and the implementation evaluation of Beijing's master plan in terms of city space layout, coordinated development and city development patterns are presented. Finally, the evaluation conclusions are summarized and the key role of subway transit smart card data in urban master plan implementation evaluation is discussed, proving the valuable support capability of big data.

[1]  Chen Jun,et al.  Estimating Smart Card Commuters Origin-Destination Distribution Based on APTS Data , 2013 .

[2]  Wei Li,et al.  Application of GIS Based Ecological Vulnerability Evaluation in Environmental Impact Assessment of Master Plan of Coal Mining Area , 2013 .

[3]  Richard K. Norton,et al.  Using content analysis to evaluate local master plans and zoning codes , 2008 .

[4]  Yizhen Gu,et al.  Spatiotemporal heterogeneity of urban planning implementation effectiveness: Evidence from five urban master plans of Beijing , 2012 .

[5]  N. Wong,et al.  GIS-based greenery evaluation on campus master plan , 2008 .

[6]  Tiyan Shen,et al.  Evaluation of plan implementation in the transitional China: A case of Guangzhou city master plan , 2011 .

[7]  Eric Gossett,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .

[8]  C. L. Philip Chen,et al.  Data-intensive applications, challenges, techniques and technologies: A survey on Big Data , 2014, Inf. Sci..

[9]  Marcela Munizaga,et al.  Estimation of a disaggregate multimodal public transport Origin-Destination matrix from passive smartcard data from Santiago, Chile , 2012 .

[10]  Ting Li,et al.  Sustainable revenue management: A smart card enabled agent-based modeling approach , 2013, Decis. Support Syst..

[11]  Catherine Morency,et al.  Smart card data use in public transit: A literature review , 2011 .

[12]  A. Páez,et al.  Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards , 2011 .

[13]  Izuru Saizen,et al.  Effects of land-use master plans in the metropolitan fringe of Japan , 2006 .