Assessing Urban Travel Patterns: An Analysis of Traffic Analysis Zone-Based Mobility Patterns

Yanyan Chen, Zheng Zhang and Tianwen Liang
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Yanyan Chen: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
Zheng Zhang: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
Tianwen Liang: Ministry of Transport Research Institute of Highways, Beijing 100088, China

Sustainability, 2019, vol. 11, issue 19, 1-15

Abstract: Information and communication technology development has yielded large-scale spatiotemporal datasets, such as mobile phone, automatic collection system, and car-hailing data, which have resulted in new opportunities to investigate urban transportation systems. However, few studies have focused on regional mobility patterns. This study presents a multistep method for exploring traffic analysis zone (TAZ)-based mobility patterns and the corresponding relations with local land use characteristics. Based on a large-scale mobile phone dataset from a major mobile phone operator in Beijing, we applied the K-means clustering algorithm to the hourly aggregated trip data to create clusters of TAZs with similar temporal mobility patterns. Land use characteristics were then derived and correlated with the temporal TAZ-based mobility patterns. Four clusters of TAZs with the similar patterns and intensities of urban activities during given time windows were identified. Land use indicators, such as residence and commercial and business area indicators, were correlated with specific temporal TAZ-based mobility patterns. The proposed multistep method could be applied in other cities to enrich relevant analyses and improve urban design and transportation planning.

Keywords: mobile phone data; mobility patterns; clustering; logit model; regional-oriented demand management policy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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