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Tracking job and housing dynamics with smartcard data

文献类型：期刊论文

作者Huang, Jie1; Levinson, David2; Wang, Jiaoe1,3; Zhou, Jiangping4; Wang, Zi-jia5
刊名PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
出版日期2018-12-11
卷号115期号:50页码:12710-12715
关键词commuting pattern job dynamics housing dynamics mobility group smartcard data
ISSN号0027-8424
DOI10.1073/pnas.1815928115
通讯作者Wang, Jiaoe(wangje@igsnrr.ac.cn)
英文摘要Residential 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.
WOS关键词HUMAN MOBILITY ; INTERNATIONAL MIGRATION ; RATIONAL LOCATOR ; TRAVEL-TIMES
资助项目Chinese Academy of Sciences[XDA19040402] ; National Natural Science Foundation of China[41701132] ; National Natural Science Foundation of China[41722103]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000452866000065
出版者NATL ACAD SCIENCES
资助机构Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/51405]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Jiaoe
作者单位1.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
推荐引用方式
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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