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An Analysis of Commuting Distance and Job Accessibility for Residents in a U.S. Legacy City

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  • Nan Ding
  • Sharmistha Bagchi-Sen

Abstract

Job accessibility has been examined over the years, especially in older industrial cities. More specifically, job accessibility of different groups of workers remains a topic of interest for targeted policymaking to improve economic conditions. This article analyzes the commuting distance sensitivity of different groups of workers and applies commuting distance sensitivity to job accessibility calculation. The Longitudinal Employer–Household Dynamics (LEHD) data set is used to calculate job-specific distance decay parameters, commuting threshold, and job accessibility. Suitable jobs are controlled by income and industry sector. A conditional distance decay function based on commuting distance sensitivity is introduced and applied to job accessibility. Distance affects job accessibility only beyond a certain threshold, which varies by worker characteristics. The results show that workers in different income, age, and industry categories have varying commuting thresholds; that is, the distance they are willing to commute to get to a job. Commuting threshold is expected to affect the value and spatial distribution of job accessibility. When considering commuting threshold, adding more jobs nearby might not reduce commuting distance to a large extent. Future studies need to understand the process that will inform residents about job opportunities so that accessibility can translate into employment. Key Words: commuting distance sensitivity, conditional distance decay, job accessibility, LEHD, low-wage jobs.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:raagxx:v:109:y:2019:i:5:p:1560-1582
    DOI: 10.1080/24694452.2019.1580133
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    Citations

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    Cited by:

    1. Singh, Shivendu Shekhar & Sarkar, Basudatta, 2022. "Transport accessibility and affordability as the determinant of non-motorized commuting in rural India," Transport Policy, Elsevier, vol. 118(C), pages 101-111.
    2. Li, Tiebei & Dodson, Jago & Goldie, Xavier, 2021. "Urban structure, commuting burden, and employment status of labour forces in an Australian city," Journal of Transport Geography, Elsevier, vol. 93(C).
    3. Hui Chen & Sven Voigt & Xiaoming Fu, 2021. "Data-Driven Analysis on Inter-City Commuting Decisions in Germany," Sustainability, MDPI, vol. 13(11), pages 1-24, June.
    4. 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.
    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. 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.

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