IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i21p14187-d958561.html
   My bibliography  Save this article

Analysis of the Spatial Distribution Characteristics of Residences and Workplaces under the Influence of Metro Transportation in Metropolises from the Perspectives of Accessibility and Travelers’ Industries: The Case of Guangzhou

Author

Listed:
  • Changdong Ye

    (College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China)

  • Qiluan He

    (College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China)

  • Wanlin Huang

    (Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB Utrecht, The Netherlands)

  • Haitao Ma

    (Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The spatial separation between residences and workplaces of citizens is a challenge encountered by many, causing urban problems like long-distance commutes, traffic congestion, and environmental pollution due to the heavy usage of cars. As a result of this phenomenon, metro transportation has become an increasingly important means of transportation in metropolises. To further understand the spatial separation issues, we analyzed the spatial distribution characteristics of areas under the influence of metro transportation in metropolises, and this could provide new approaches to this challenge. This research used Guangzhou city as a case study to investigate the spatial distribution characteristics of residences and workplaces from two perspectives: accessibility, and the type of the travelers’ industries. The analysis was mainly based on (1) passengers’ travel data provided by Guangzhou Metro Group Co., Ltd. (Guangzhou, China); (2) the resident population, based on the sixth national census in China; and (3) the employed population, based on the third economic census of China. Our research resulted in three key findings. First, the spatial separation of residences and workplaces was generally noticeable in Guangzhou but was less noticeable in the area with metro stations. Second, workplaces were concentrated in the central ring while residences were concentrated in the inner suburban ring in Guangzhou. Third, there was a relative concentration of workplaces in the same service industry and the workplaces of each service industry were concentrated in separate, respective areas in Guangzhou. On the basis of these findings, we provided suggestions for policymakers to develop specific and effective actions to mitigate the negative impacts of spatial separation.

Suggested Citation

  • Changdong Ye & Qiluan He & Wanlin Huang & Haitao Ma, 2022. "Analysis of the Spatial Distribution Characteristics of Residences and Workplaces under the Influence of Metro Transportation in Metropolises from the Perspectives of Accessibility and Travelers’ Indu," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14187-:d:958561
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/21/14187/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/21/14187/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Chih-Hao & Chen, Na, 2015. "A GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus, Ohio," Journal of Transport Geography, Elsevier, vol. 45(C), pages 1-11.
    2. Jan Rouwendal & Erik Meijer, 2001. "Preferences for Housing, Jobs, and Commuting: A Mixed Logit Analysis," Journal of Regional Science, Wiley Blackwell, vol. 41(3), pages 475-505, August.
    3. 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.
    4. Mathieu Bunel & Elisabeth Tovar, 2014. "Key Issues in Local Job Accessibility Measurement: Different Models Mean Different Results," Urban Studies, Urban Studies Journal Limited, vol. 51(6), pages 1322-1338, May.
    5. White, Michelle J, 1986. "Sex Differences in Urban Commuting Patterns," American Economic Review, American Economic Association, vol. 76(2), pages 368-372, May.
    6. Bun Song Lee & John F. McDonald, 2003. "Determinants of Commuting Time and Distance for Seoul Residents: The Impact of Family Status on the Commuting of Women," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1283-1302, June.
    7. 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).
    8. Cervero, Robert, 1989. "Jobs-Housing Balancing and Regional Mobility," University of California Transportation Center, Working Papers qt7mx3k73h, University of California Transportation Center.
    9. Richard F. Muth, 1961. "The Spatial Structure Of The Housing Market," Papers in Regional Science, Wiley Blackwell, vol. 7(1), pages 207-220, January.
    10. 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.
    11. John F. Kain, 1968. "Housing Segregation, Negro Employment, and Metropolitan Decentralization," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(2), pages 175-197.
    12. Murad Mohammed & Sanjaya Senadheera, 2022. "Public Transport Affordability Evaluation for Addis Ababa City," Sustainability, MDPI, vol. 14(11), pages 1-18, June.
    13. 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.
    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. Motte, Benjamin & Aguilera, Anne & Bonin, Olivier & Nassi, Carlos D., 2016. "Commuting patterns in the metropolitan region of Rio de Janeiro. What differences between formal and informal jobs?," Journal of Transport Geography, Elsevier, vol. 51(C), pages 59-69.
    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. 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.
    4. Albert Saiz & Luyao Wang, 2023. "Physical geography and traffic delays: Evidence from a major coastal city," Environment and Planning B, , vol. 50(1), pages 218-243, September.
    5. Anzhelika Antipova, 2020. "Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    6. Anette Haas & Liv Osland, 2014. "Commuting, Migration, Housing and Labour Markets: Complex Interactions," Urban Studies, Urban Studies Journal Limited, vol. 51(3), pages 463-476, February.
    7. 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.
    8. Sunhee Sang & Morton O’Kelly & Mei-Po Kwan, 2011. "Examining Commuting Patterns," Urban Studies, Urban Studies Journal Limited, vol. 48(5), pages 891-909, April.
    9. Hafizah Rosli & Narimah Samat, 2025. "The Impact of Housing Spatial Mismatch on Transportation Mode Selection for Job Access," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(1), pages 4636-4646, January.
    10. Schleith, Daniel & Widener, Michael & Kim, Changjoo, 2016. "An examination of the jobs-housing balance of different categories of workers across 26 metropolitan regions," Journal of Transport Geography, Elsevier, vol. 57(C), pages 145-160.
    11. Mizuki Kawabata & Qing Shen, 2007. "Commuting Inequality between Cars and Public Transit: The Case of the San Francisco Bay Area, 1990-2000," Urban Studies, Urban Studies Journal Limited, vol. 44(9), pages 1759-1780, August.
    12. Stefan P.T. Groot & Henri L.F. de Groot & Paolo Veneri, 2012. "The Educational Bias in Commuting Patterns: Micro-Evidence for the Netherlands," Tinbergen Institute Discussion Papers 12-080/3, Tinbergen Institute.
    13. Cui, Boer & Boisjoly, Geneviève & El-Geneidy, Ahmed & Levinson, David, 2019. "Accessibility and the journey to work through the lens of equity," Journal of Transport Geography, Elsevier, vol. 74(C), pages 269-277.
    14. Zhong-Ren Peng, 1997. "The Jobs-Housing Balance and Urban Commuting," Urban Studies, Urban Studies Journal Limited, vol. 34(8), pages 1215-1235, July.
    15. Xingang Zhou & Anthony GO Yeh & Weifeng Li & Yang Yue, 2018. "A commuting spectrum analysis of the jobs–housing balance and self-containment of employment with mobile phone location big data," Environment and Planning B, , vol. 45(3), pages 434-451, May.
    16. Reichelt, Malte & Haas, Anette, 2015. "Commuting farther and earning more? : how employment density moderates workers commuting distance," IAB-Discussion Paper 201533, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Kang-Rae Ma & David Banister, 2006. "Extended Excess Commuting: A Measure of the Jobs-Housing Imbalance in Seoul," Urban Studies, Urban Studies Journal Limited, vol. 43(11), pages 2099-2113, October.
    18. Manuel Suárez & Masanori Murata & Javier Delgado Campos, 2016. "Why do the poor travel less? Urban structure, commuting and economic informality in Mexico City," Urban Studies, Urban Studies Journal Limited, vol. 53(12), pages 2548-2566, September.
    19. 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.
    20. 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.

    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:jsusta:v:14:y:2022:i:21:p:14187-:d:958561. 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.