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作者

Zijia Wang;Haixu Liu;Yadi Zhu;Yuerong Zhang;Anahid Basiri;Benjamin Büttner;Xing Gao;Mengqiu Cao

来源

JOURNAL OF URBAN PLANNING AND DEVELOPMENT,Vol.147,Issue2

语言

英文

关键字

作者单位

Associate Professor, Dept. of Highway and Railway Engineering, School of Civil and Architectual Engineering, Beijing Jiaotong Univ., No. 3 Shangyuan Village, Haidian District, Beijing 100089, PR China. Email: [email protected];Engineer, Transportation Research Centre, Beijing Urban Construction Design and Development Group Co., Limited, No. 5, Fuchengmen Beidajie, Xicheng District, Beijing 100032, PR China. ORCID: https://orcid.org/0000-0003-4574-4401. Email: [email protected];Research Associate, Dept. of Highway and Railway Engineering, School of Civil and Architectual Engineering, Beijing Jiaotong Univ., No. 3 Shangyuan Village, Haidian District, Beijing 100089, PR China. ORCID: https://orcid.org/0000-0003-4906-5916. Email: [email protected];Ph.D. Candidate, Bartlett School of Planning, Univ. College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK; Teaching Assistant, Bartlett Centre for Advanced Spatial Analysis, Univ. College London, 90 Tottenham Court Rd., London W1T 4TJ, UK. Email: [email protected];Professor, School of Geographical and Earth Sciences, Univ. of Glasgow, Glasgow G12 8QQ, UK. Email: [email protected];Head of Research Group Accessibility Planning, Dept. of Civil, Geo and Environmental Engineering, Technical Univ. of Munich, Arcisstr. 21, Munich 80333, Germany. Email: [email protected];Ph.D. Candidate, Bartlett School of Planning, Univ. College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK. Email: [email protected];Senior Lecturer, School of Architecture and Cities, Univ. of Westminster, 35 Marylebone Rd., London NW1 5LS, UK (corresponding author). ORCID: https://orcid.org/0000-0001-8670-4735. Email: [email protected]

摘要

A growing number of megacities have been experiencing changes to their landscape due to rapid urbanization trajectories and travel behavior dynamics. Therefore, it is of great significance to investigate the distribution and evolution of a city's urban functional areas over different periods of time. Although the smart card automated fare collection system is already widely used, few studies have used smart card data to infer information about changes in urban functional areas, particularly in developing countries. Thus, this research aims to delineate the dynamic changes that have occurred in urban functional areas based on passengers' travel patterns, using Beijing as a case study. We established a Bayesian framework and applied a Gaussian mixture model derived from transit smart card data in order to gain insight into passengers' travel patterns at station level and then identify the dynamic changes in their corresponding urban functional areas. Our results show that Beijing can be clustered into five different functional areas based on the analysis of corresponding transit station functions: multimodal interchange hub and leisure area; residential area; employment area; mixed but mainly residential area; and mixed residential and employment area. In addition, we found that urban functional areas have experienced slight changes between 2014 and 2017. The findings can be used to inform urban planning strategies designed to tackle urban spatial structure issues, as well as guiding future policy evaluation of urban landscape pattern use.