IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v119y2022ics0264837722002289.html
   My bibliography  Save this article

Residential-employment mixed use and jobs-housing balance: A case study of Shenzhen, China

Author

Listed:
  • Zhou, Xingang
  • Yeh, Anthony G.O.
  • Yue, Yang
  • Li, Weifeng

Abstract

Residential-employment mixed use has often been proposed to promote jobs–housing balance and to increase employment self-containment of residents, thereby reducing commuting distance and motorized travel. However, the relationship between residential-employment mixed use and work trips has few consensuses. Whether residential-employment mixed use is correlated with employment self-containment of residents remains to be explored. In this study, the relationships between residential-employment mixed use and employment self-containment of residents are examined in the industrial and commercial areas in Shenzhen, China. The relationships between commercial–residential and industrial–residential mixes and employment self-containment of residents are examined using mobile phone data. Results indicate that residential-employment mixed use is positively correlated with employment self-containment of residents in industrial–residential mix areas in the suburbs, but is not correlated in commercial–residential mix areas in the central city. Residential-employment mixed use alone does not achieve high employment self-containment of residents, which also depends on other factors such as its economic sector, location, and housing prices.

Suggested Citation

  • Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang & Li, Weifeng, 2022. "Residential-employment mixed use and jobs-housing balance: A case study of Shenzhen, China," Land Use Policy, Elsevier, vol. 119(C).
    • Handle: RePEc:eee:lauspo:v:119:y:2022:i:c:s0264837722002289
    DOI: 10.1016/j.landusepol.2022.106201
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837722002289
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2022.106201?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Marlon Boarnet, 2011. "A Broader Context for Land Use and Travel Behavior, and a Research Agenda," Journal of the American Planning Association, Taylor & Francis Journals, vol. 77(3), pages 197-213.
    2. Zhao, Pengjun & Lu, Bin, 2010. "Exploring job accessibility in the transformation context: an institutionalist approach and its application in Beijing," Journal of Transport Geography, Elsevier, vol. 18(3), pages 393-401.
    3. Xingang Zhou & Anthony G. O. Yeh, 2021. "Understanding the modifiable areal unit problem and identifying appropriate spatial unit in jobs–housing balance and employment self-containment using big data," Transportation, Springer, vol. 48(3), pages 1267-1283, June.
    4. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    5. Mitra, Raktim & Buliung, Ron N., 2012. "Built environment correlates of active school transportation: neighborhood and the modifiable areal unit problem," Journal of Transport Geography, Elsevier, vol. 20(1), pages 51-61.
    6. Manaugh, Kevin & Kreider, Tyler, 2013. "What is mixed use? Presenting an interaction method for measuring land use mix," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 63-72.
    7. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    8. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    9. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
    10. Kobe Boussauw & Tijs Neutens & Frank Witlox, 2012. "Relationship between Spatial Proximity and Travel-to-Work Distance: The Effect of the Compact City," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 687-706, September.
    11. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    12. Kim Dovey & Elek Pafka, 2017. "What is functional mix? An assemblage approach," Planning Theory & Practice, Taylor & Francis Journals, vol. 18(2), pages 249-267, April.
    13. Andrew Tracy & Peng Su & Adel Sadek & Qian Wang, 2011. "Assessing the impact of the built environment on travel behavior: a case study of Buffalo, New York," Transportation, Springer, vol. 38(4), pages 663-678, July.
    14. Zhou, Xingang & Yeh, Anthony G.O. & Yue, Yang, 2018. "Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data," Journal of Transport Geography, Elsevier, vol. 68(C), pages 102-108.
    15. Song, Yan & Zenou, Yves, 2012. "Urban villages and housing values in China," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 495-505.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ling, Changlong & Niu, Xinyi & Yang, Jiawen & Zhou, Jiangping & Yang, Tianren, 2024. "Unravelling heterogeneity and dynamics of commuting efficiency: Industry-level insights into evolving efficiency gaps based on a disaggregated excess-commuting framework," Journal of Transport Geography, Elsevier, vol. 115(C).
    2. Feng Ren & Jinbo Zhang & Xiuyun Yang, 2023. "Study on the Effect of Job Accessibility and Residential Location on Housing Occupancy Rate: A Case Study of Xiamen, China," Land, MDPI, vol. 12(4), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zheng, Zhong & Zhou, Suhong & Deng, Xingdong, 2021. "Exploring both home-based and work-based jobs-housing balance by distance decay effect," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Qin, Ping & Wang, Lanlan, 2019. "Job opportunities, institutions, and the jobs-housing spatial relationship: Case study of Beijing," Transport Policy, Elsevier, vol. 81(C), pages 331-339.
    3. Islam, Md Rabiul & Saphores, Jean-Daniel M., 2022. "An L.A. story: The impact of housing costs on commuting," Journal of Transport Geography, Elsevier, vol. 98(C).
    4. Niedzielski, Michael A. & Horner, Mark W. & Xiao, Ningchuan, 2013. "Analyzing scale independence in jobs-housing and commute efficiency metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 129-143.
    5. Zhao, Pengjun & Lü, Bin & Roo, Gert de, 2011. "Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era," Journal of Transport Geography, Elsevier, vol. 19(1), pages 59-69.
    6. Jiangping, Zhou & Chun, Zhang & Xiaojian, Chen & Wei, Huang & Peng, Yu, 2014. "Has the legacy of Danwei persisted in transformations? the jobs-housing balance and commuting efficiency in Xi’an," Journal of Transport Geography, Elsevier, vol. 40(C), pages 64-76.
    7. Haonan Zhang & Hu Zhao & Saisai Meng & Yanghua Zhang, 2022. "Research on the Jobs-Housing Balance of Residents in Peri-Urbanization Areas in China: A Case Study of Zoucheng County," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    8. Longxu Yan & De Wang & Shangwu Zhang & Dongcan Xie, 2019. "Evaluating the multi-scale patterns of jobs-residence balance and commuting time–cost using cellular signaling data: a case study in Shanghai," Transportation, Springer, vol. 46(3), pages 777-792, June.
    9. Gehrke, Steven R. & Wang, Liming, 2020. "Operationalizing the neighborhood effects of the built environment on travel behavior," Journal of Transport Geography, Elsevier, vol. 82(C).
    10. Tae-Hyoung Tommy Gim, 2018. "An Analysis of the Relationship between Land Use and Weekend Travel: Focusing on the Internal Capture of Trips," Sustainability, MDPI, vol. 10(2), pages 1-17, February.
    11. Ari Tarigan & Stian Bayer & Christin Berg, 2011. "Suburbanisation of employment means less sustainable travel? - The effects of policy location on commuters' travel patterns in the Stavanger region, Norway," ERSA conference papers ersa10p1648, European Regional Science Association.
    12. Li, Chunjiang & Zhang, Yan & Chai, Yanwei, 2021. "Do spatial factors outweigh institutional factors? Changes in influencing factors of home-work separation from 2007 to 2017 in Beijing," Journal of Transport Geography, Elsevier, vol. 96(C).
    13. Zhong Zheng & Suhong Zhou & Xingdong Deng, 2022. "The spatially heterogeneous and double-edged effect of the built environment on commuting distance: Home-based and work-based perspectives," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-24, March.
    14. Steven R Gehrke & Kelly J Clifton, 2019. "An activity-related land use mix construct and its connection to pedestrian travel," Environment and Planning B, , vol. 46(1), pages 9-26, January.
    15. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    16. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
    17. Byunghak Min & Gunwon Lee & Seiyong Kim, 2021. "Effects of Land-Use Characteristics on Transport Mode Choices by Purpose of Travel in Seoul, South Korea, Based on Spatial Regression Analysis," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    18. Bindong Sun & Chun Yin, 2020. "Impacts of a multi-scale built environment and its corresponding moderating effects on commute duration in China," Urban Studies, Urban Studies Journal Limited, vol. 57(10), pages 2115-2130, August.
    19. Cervero, Robert & Duncan, Michael, 2006. "Balanced Growth, Travel Demand, and Physical Activity," University of California Transportation Center, Working Papers qt5c95t59t, University of California Transportation Center.
    20. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:119:y:2022:i:c:s0264837722002289. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.