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Research on the Jobs-Housing Balance of Residents in Peri-Urbanization Areas in China: A Case Study of Zoucheng County

Author

Listed:
  • Haonan Zhang

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China)

  • Hu Zhao

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China)

  • Saisai Meng

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China)

  • Yanghua Zhang

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China)

Abstract

In the process of urbanization, peri-urbanization is a unique phenomenon in China. For residents living in peri-urbanization areas, realizing the balance between workplace and living space is not only a crucial guarantee for them to secure livelihood but also an important criterion to measure the quality of China’s urbanization. Based on the questionnaire data distributed by the research group in Zoucheng County, China, in 2021, this study measures the degree of jobs-housing balance in county area by constructing the benefit index of jobs-housing balance and explores factors affecting the jobs-housing balance in county area by using logistic regression, random forest classification, and regression tree. Results: Firstly, with 57% of the residents have achieved the standard, the level of jobs-housing balance in Zoucheng County is relatively high. Secondly, individual, household and built environment dimensions jointly affect jobs-housing balance of residents. Furthermore, at the current stage of China’s county areas, household is not the core dimension influencing jobs-housing balance. Thirdly, factors that passed the significance test can be divided into three categories: key factors, important factors, and auxiliary factors. Occupation type, commuting way and residential location are the key factors affecting the jobs-housing balance, which deserve our attention. Therefore, according to the above conclusions, relevant suggestions for promoting jobs-housing balance of residents in county area were put forward. For instance, considering the diverse occupation of local residents, employments that match their skills should be offered, and as for peri-urbanization areas, the regulatory of jobs-housing balance should be placed in urban and rural areas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7921-:d:851373
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    References listed on IDEAS

    as
    1. Murphy, Enda, 2009. "Excess commuting and modal choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 735-743, October.
    2. Jingkun Niu & Haifeng Du, 2021. "Coordinated Development Evaluation of Population–Land–Industry in Counties of Western China: A Case Study of Shaanxi Province," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    3. Jie Huang & David Levinson & Jiaoe Wang & Zi-jia Wang, 2018. "Tracking job and housing dynamics with smartcard data," Working Papers 2018-01, University of Minnesota: Nexus Research Group.
    4. 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).
    5. Maoh, Hanna & Tang, Zhongyuan, 2012. "Determinants of normal and extreme commute distance in a sprawled midsize Canadian city: evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 25(C), pages 50-57.
    6. Todaro, Michael P, 1969. "A Model for Labor Migration and Urban Unemployment in Less Developed Countries," American Economic Review, American Economic Association, vol. 59(1), pages 138-148, March.
    7. Urbanek, Anna, 2021. "Potential of modal shift from private cars to public transport: A survey on the commuters’ attitudes and willingness to switch – A case study of Silesia Province, Poland," Research in Transportation Economics, Elsevier, vol. 85(C).
    8. Meina Zheng & Feng Liu & Xiucheng Guo & Xinyue Lei, 2019. "Assessing the Distribution of Commuting Trips and Jobs-Housing Balance Using Smart Card Data: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    9. 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.
    10. Crane, Randall, 2007. "Is There a Quiet Revolution in Women's Travel? Revisiting the Gender Gap in Commuting," University of California Transportation Center, Working Papers qt8nj9n8nb, University of California Transportation Center.
    11. Muhammad Tauhidur Rahman & Adel S. Aldosary & Md. Golam Mortoja, 2017. "Modeling Future Land Cover Changes and Their Effects on the Land Surface Temperatures in the Saudi Arabian Eastern Coastal City of Dammam," Land, MDPI, vol. 6(2), pages 1-16, May.
    12. Park, Gil H. & Kwon, Sung M., 2018. "The ameliorated trade-off between commuting efficiency and jobs-housing balance in a green-belted city: Lessons from Seoul," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 47-59.
    13. repec:nas:journl:v:115:y:2018:p:12710-12715 is not listed on IDEAS
    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. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    16. Zhou, Jiangping & Murphy, Enda & Long, Ying, 2014. "Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data," Journal of Transport Geography, Elsevier, vol. 41(C), pages 175-183.
    17. Duncan Watson & Robert Webb, 2008. "Reservation wage levels in UK and German financial services sectors," The Service Industries Journal, Taylor & Francis Journals, vol. 28(8), pages 1167-1182, October.
    18. Francesca Pampurini & Anna Grazia Quaranta, 2018. "Sustainability and Efficiency of the European Banking Market after the Global Crisis: The Impact of Some Strategic Choices," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    19. 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.
    20. Somayeh Ahani & Hashem Dadashpoor, 2021. "Urban growth containment policies for the guidance and control of peri-urbanization: a review and proposed framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14215-14244, October.
    21. Zhou, Jiangping & Murphy, Enda, 2019. "Day-to-day variation in excess commuting: An exploratory study of Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 74(C), pages 223-232.
    22. Li, Tiebei & Corcoran, Jonathan & Burke, Matthew, 2012. "Disaggregate GIS modelling to track spatial change: exploring a decade of commuting in South East Queensland, Australia," Journal of Transport Geography, Elsevier, vol. 24(C), pages 306-314.
    23. Hao, Lingxin & Liang, Yucheng, 2016. "The Spatial and Career Mobility of China's Urban and Rural Labor Force," Management and Organization Review, Cambridge University Press, vol. 12(1), pages 135-158, March.
    24. Bwire, Hannibal & Zengo, Emil, 2020. "Comparison of efficiency between public and private transport modes using excess commuting: An experience in Dar es Salaam," Journal of Transport Geography, Elsevier, vol. 82(C).
    25. Nan Ding & Sharmistha Bagchi-Sen, 2019. "An Analysis of Commuting Distance and Job Accessibility for Residents in a U.S. Legacy City," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(5), pages 1560-1582, September.
    26. Saadi, Ismaïl & Boussauw, Kobe & Teller, Jacques & Cools, Mario, 2016. "Trends in regional jobs-housing proximity based on the minimum commute: The case of Belgium," Journal of Transport Geography, Elsevier, vol. 57(C), pages 171-183.
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