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Tracking job and housing dynamics with smartcard data
Huang, Jie1; Levinson, David2; Wang, Jiaoe1,3; Zhou, Jiangping4; Wang, Zi-jia5
2018-12-11
Source PublicationPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN0027-8424
Volume115Issue:50Pages:12710-12715
Corresponding AuthorWang, Jiaoe(wangje@igsnrr.ac.cn)
AbstractResidential locations, the jobs-housing relationship, and commuting patterns are key elements to understand urban spatial structure and how city dwellers live. Their successive interaction is important for various fields including urban planning, transport, intraurban migration studies, and social science. However, understanding of the long-term trajectories of workplace and home location, and the resulting commuting patterns, is still limited due to lack of year-to-year data tracking individual behavior. With a 7-y transit smartcard dataset, this paper traces individual trajectories of residences and workplaces. Based on in-metro travel times before and after job and/or home moves, we find that 45 min is an inflection point where the behavioral preference changes. Commuters whose travel time exceeds the point prefer to shorten commutes via moves, while others with shorter commutes tend to increase travel time for better jobs and/or residences. Moreover, we capture four mobility groups: home mover, job hopper, job-and-residence switcher, and stayer. This paper studies how these groups trade off travel time and housing expenditure with their job and housing patterns. Stayers with high job and housing stability tend to be home (apartment unit) owners subject to middle-to high-income groups. Home movers work at places similar to stayers, while they may upgrade from tenancy to ownership. Switchers increase commute time as well as housing expenditure via job and home moves, as they pay for better residences and work farther from home. Job hoppers mainly reside in the suburbs, suffer from long commutes, change jobs frequently, and are likely to be low-income migrants.
Keywordcommuting pattern job dynamics housing dynamics mobility group smartcard data
DOI10.1073/pnas.1815928115
WOS KeywordHUMAN MOBILITY ; INTERNATIONAL MIGRATION ; RATIONAL LOCATOR ; TRAVEL-TIMES
Indexed BySCI
Language英语
Funding ProjectChinese Academy of Sciences[XDA19040402] ; National Natural Science Foundation of China[41701132] ; National Natural Science Foundation of China[41722103]
Funding OrganizationChinese Academy of Sciences ; National Natural Science Foundation of China
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000452866000065
PublisherNATL ACAD SCIENCES
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51406
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Jiaoe
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China
2.Univ Sydney, Sch Civil Engn, Sydney, NSW 2006, Australia
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
4.Univ Hong Kong, Fac Architecture, Dept Urban Planning & Design, Hong Kong 999077, Peoples R China
5.Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China
Recommended Citation
GB/T 7714
Huang, Jie,Levinson, David,Wang, Jiaoe,et al. Tracking job and housing dynamics with smartcard data[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2018,115(50):12710-12715.
APA Huang, Jie,Levinson, David,Wang, Jiaoe,Zhou, Jiangping,&Wang, Zi-jia.(2018).Tracking job and housing dynamics with smartcard data.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,115(50),12710-12715.
MLA Huang, Jie,et al."Tracking job and housing dynamics with smartcard data".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 115.50(2018):12710-12715.
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