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Article: A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data
Title | A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data |
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Authors | |
Keywords | commuting spectrum jobs–housing balance mobile phone location big data self-containment of employment work trips |
Issue Date | 2018 |
Publisher | Sage Publications Ltd. The Journal's web site is located at http://journals.sagepub.com/home/epb |
Citation | Environment and Planning B: Urban Analytics and City Science, 2018, v. 45 n. 3, p. 434-451 How to Cite? |
Abstract | Studies on the jobs–housing balance and self-containment of employment are mainly focused on observed journey-to-work trips using travel survey data. This study examines the relationship between the jobs–housing balance and the self-containment of employment through the use of mobile phone location data in Shenzhen, a megacity in southern China. Individual-level journey-to-work trips are explored based on mobile phone location big data. Self-containment of employment in the suburban districts is higher than that in the central districts. The effect of the jobs–housing balance on self-containment of employment is examined at a 2 km grid level. Jobs–housing balance policies positively affect the self-containment of employment in the suburban districts, but its effect is limited in the central districts. Two extreme commuting spectrum measures are used to analyze self-containment of employment in different journey-to-work scenarios with the same jobs–housing distribution. Workers are disaggregated into secondary and tertiary sector workers according to job types. The self-containment of employment is found to be mainly affected by the local jobs–housing balance for secondary-sector workers and the regional city level job distribution for tertiary-sector workers. The extreme scenarios of commuting behavior using the commuting spectrum method can provide benchmarks that can help to understand the observed self-containment of employment better. © 2017, © The Author(s) 2017. |
Persistent Identifier | http://hdl.handle.net/10722/248101 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 0.929 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhou, X | - |
dc.contributor.author | Yeh, AGO | - |
dc.contributor.author | Li, W | - |
dc.contributor.author | Yue, Y | - |
dc.date.accessioned | 2017-10-18T08:37:49Z | - |
dc.date.available | 2017-10-18T08:37:49Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Environment and Planning B: Urban Analytics and City Science, 2018, v. 45 n. 3, p. 434-451 | - |
dc.identifier.issn | 2399-8083 | - |
dc.identifier.uri | http://hdl.handle.net/10722/248101 | - |
dc.description.abstract | Studies on the jobs–housing balance and self-containment of employment are mainly focused on observed journey-to-work trips using travel survey data. This study examines the relationship between the jobs–housing balance and the self-containment of employment through the use of mobile phone location data in Shenzhen, a megacity in southern China. Individual-level journey-to-work trips are explored based on mobile phone location big data. Self-containment of employment in the suburban districts is higher than that in the central districts. The effect of the jobs–housing balance on self-containment of employment is examined at a 2 km grid level. Jobs–housing balance policies positively affect the self-containment of employment in the suburban districts, but its effect is limited in the central districts. Two extreme commuting spectrum measures are used to analyze self-containment of employment in different journey-to-work scenarios with the same jobs–housing distribution. Workers are disaggregated into secondary and tertiary sector workers according to job types. The self-containment of employment is found to be mainly affected by the local jobs–housing balance for secondary-sector workers and the regional city level job distribution for tertiary-sector workers. The extreme scenarios of commuting behavior using the commuting spectrum method can provide benchmarks that can help to understand the observed self-containment of employment better. © 2017, © The Author(s) 2017. | - |
dc.language | eng | - |
dc.publisher | Sage Publications Ltd. The Journal's web site is located at http://journals.sagepub.com/home/epb | - |
dc.relation.ispartof | Environment and Planning B: Urban Analytics and City Science | - |
dc.rights | Environment and Planning B: Urban Analytics and City Science. Copyright © Sage Publications Ltd. | - |
dc.subject | commuting spectrum | - |
dc.subject | jobs–housing balance | - |
dc.subject | mobile phone location big data | - |
dc.subject | self-containment of employment | - |
dc.subject | work trips | - |
dc.title | A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data | - |
dc.type | Article | - |
dc.identifier.email | Zhou, X: zhouxg@hku.hk | - |
dc.identifier.email | Yeh, AGO: hdxugoy@hkucc.hku.hk | - |
dc.identifier.email | Li, W: wfli@hku.hk | - |
dc.identifier.authority | Yeh, AGO=rp01033 | - |
dc.identifier.authority | Li, W=rp01507 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1177/2399808317707967 | - |
dc.identifier.scopus | eid_2-s2.0-85041407711 | - |
dc.identifier.hkuros | 280713 | - |
dc.identifier.volume | 45 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 434 | - |
dc.identifier.epage | 451 | - |
dc.identifier.isi | WOS:000432060800004 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 2399-8083 | - |