IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i1p82-d1559834.html
   My bibliography  Save this article

Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch

Author

Listed:
  • Zhuangtian Liu

    (School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Shaohua Wu

    (China Institute of Regulation and Public Policy Research, Zhejiang University of Finance and Economics, Hangzhou 310018, China
    Zhejiang Institute of “Eight–Eight” Strategies, Hangzhou 310018, China)

  • Canying Zeng

    (School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Yunxiao Dang

    (School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

Abstract

The jobs-housing mismatch phenomenon in urban China stems from the combined effects of housing commodification and the improvement of transportation infrastructure. These factors have contributed to the emergence of lengthy commutes and a range of urban challenges. This study examines the issue of jobs-housing mismatch in large cities, focusing on Hangzhou. It utilizes mobile signaling big data, geographically weighted regression, and spatial analysis to investigate the link between land mixed-use and this mismatch. The results reveal that Hangzhou faces a significant residential-employment mismatch, particularly in a ring-like pattern. Central urban areas are relatively balanced, while residential areas band around the center, and employment areas are scattered both centrally and on the outskirts. Land mixed-use impacts this mismatch spatially. In new developments, increased land use mix exacerbates the mismatch, while in ecological green spaces, it has a suppressive effect. Based on these findings, Hangzhou’s main urban area is divided into nine zones, each with tailored suggestions for balancing residential and employment spaces. This study demonstrates that mobile signaling data can precisely capture micro-level characteristics of residential and employment patterns. A multi-dimensional approach to land mixed-use offers a more comprehensive understanding than a single perspective. The zoning strategy helps establish spatial differences and balance residential-employment relations, providing valuable insights for urban renewal and land function optimization.

Suggested Citation

  • Zhuangtian Liu & Shaohua Wu & Canying Zeng & Yunxiao Dang, 2025. "Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch," Land, MDPI, vol. 14(1), pages 1-18, January.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:1:p:82-:d:1559834
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/1/82/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/1/82/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tao, Yinhua & van Ham, Maarten & Petrović, Ana & Ta, Na, 2023. "A household perspective on the commuting paradox: Longitudinal relationships between commuting time and subjective wellbeing for couples in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    2. 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.
    3. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    4. Li, Si-ming & Liu, Yi, 2016. "The jobs-housing relationship and commuting in Guangzhou, China: Hukou and dual structure," Journal of Transport Geography, Elsevier, vol. 54(C), pages 286-294.
    5. Chen, Ruoyu & Zhang, Min & Zhou, Jiangping, 2023. "Jobs-housing relationships before and amid COVID-19: An excess-commuting approach," Journal of Transport Geography, Elsevier, vol. 106(C).
    6. Peihong Wang & Kerun Li & Wenbing Zhang, 2024. "China’s New Housing Security Model: Evaluation of the Job–Housing Balance in Affordable Rental Housing, Shanghai," Land, MDPI, vol. 13(7), pages 1-26, July.
    Full references (including those not matched with items on IDEAS)

    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. Cheng, Mingyang & Yansui Liu, & Zhou, Yang, 2019. "Measuring the symbiotic development of rural housing and industry: A case study of Fuping County in the Taihang Mountains in China," Land Use Policy, Elsevier, vol. 82(C), pages 307-316.
    2. 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).
    3. Keone Kelobonye & Feng Mao & Jianhong (Cecilia) Xia & Mohammad Shahidul Hasan Swapan & Gary McCarney, 2019. "The Impact of Employment Self-Sufficiency Measures on Commuting Time: Case Study of Perth, Australia," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    4. Yiqian Wang & Yibin Li, 2024. "Revisiting jobs-housing balance: unveiling the impact of housing subsidy policy on residential locations across different income groups," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    5. 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.
    6. 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).
    7. 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.
    8. Xinguo Yuan & Xingping Wang & Yingyu Wang & Juan Li & Yang Zhang & Zhan Gao & Gai Zhang, 2024. "Commuting Pattern Recognition of Industrial Parks Using Mobile Phone Signaling Data: A Case Study of Nanjing, China," Land, MDPI, vol. 13(10), pages 1-24, October.
    9. 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).
    10. You, Meizi & Guan, ChengHe, 2024. "Does self-containment of spatial scale and land use function contribute to mitigate urban heat island effects? Lessons from new towns in Shanghai," Land Use Policy, Elsevier, vol. 146(C).
    11. Fei Li & Christopher Kajetan Wyczalkowski, 2023. "How buses alleviate unemployment and poverty: Lessons from a natural experiment in Clayton County, GA," Urban Studies, Urban Studies Journal Limited, vol. 60(13), pages 2632-2650, October.
    12. William A. V. Clark & Marianne Kuijpers-Linde, 1994. "Commuting in Restructuring Urban Regions," Urban Studies, Urban Studies Journal Limited, vol. 31(3), pages 465-483, April.
    13. Libin Han & Chong Peng & Zhenyu Xu, 2022. "The Effect of Commuting Time on Quality of Life: Evidence from China," IJERPH, MDPI, vol. 20(1), pages 1-10, December.
    14. Juan Zhu & Xinyi Niu & Cheng Shi, 2019. "The Influencing Factors of a Polycentric Employment System on Jobs-Housing Matching—A Case Study of Hangzhou, China," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    15. 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.
    16. Liu, Jixiang & Xiao, Longzhu, 2023. "Non-linear relationships between built environment and commuting duration of migrants and locals," Journal of Transport Geography, Elsevier, vol. 106(C).
    17. 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.
    18. Xiaoxu, Xing & Qiangmin, Xi & Weihao, Shi, 2024. "Impact of urban compactness on carbon emission in Chinese cities: From moderating effects of industrial diversity and job-housing imbalances," Land Use Policy, Elsevier, vol. 143(C).
    19. Hans R.A. Koster & Jan Rouwendal, 2012. "The Impact Of Mixed Land Use On Residential Property Values," Journal of Regional Science, Wiley Blackwell, vol. 52(5), pages 733-761, December.
    20. Bocarejo S., Juan Pablo & Oviedo H., Daniel Ricardo, 2012. "Transport accessibility and social inequities: a tool for identification of mobility needs and evaluation of transport investments," Journal of Transport Geography, Elsevier, vol. 24(C), pages 142-154.

    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:gam:jlands:v:14:y:2025:i:1:p:82-:d:1559834. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.