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Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics
Joint Authors
Zhan, Xianyuan
Chen, Yifan
Zhang, Yuliang
Ukkusuri, Satish V.
Yang, Chao
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
A key issue to understand urban system is to characterize the activity dynamics in a city—when, where, what, and how activities happen in a city.
To better understand the urban activity dynamics, city-wide and multiday activity participation sequence data, namely, activity chain as well as suitable spatiotemporal models, are needed.
The commonly used household travel survey data in activity analysis suffers from limited sample size and temporal coverage.
The emergence of large-scale spatiotemporal data in urban areas, such as mobile phone data, provides a new opportunity to infer urban activities and the underlying dynamics.
However, the challenge is the absence of labeled activity information in mobile phone data.
Consequently, how to fuse the useful information in household survey data and mobile phone data to build city-wide, multiday, and all-time activity chains becomes an important research question.
Moreover, the multidimension structure of the activity data (e.g., location, start time, duration, type) makes the extraction of spatiotemporal activity patterns another difficult problem.
In this study, the authors first introduce an activity chain inference model based on tensor decomposition to infer the missing activity labels in large-scale and multiday activity data, and then develop a spatiotemporal event clustering model based on DBSCAN, called STE-DBSCAN, to identify the spatiotemporal activity patterns.
The proposed approaches achieved good accuracy and produced patterns with a high level of interpretability.
American Psychological Association (APA)
Yang, Chao& Zhang, Yuliang& Zhan, Xianyuan& Ukkusuri, Satish V.& Chen, Yifan. 2020. Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175722
Modern Language Association (MLA)
Yang, Chao…[et al.]. Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1175722
American Medical Association (AMA)
Yang, Chao& Zhang, Yuliang& Zhan, Xianyuan& Ukkusuri, Satish V.& Chen, Yifan. Fusing Mobile Phone and Travel Survey Data to Model Urban Activity Dynamics. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1175722
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175722