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Accessibility evaluations for nighttime walking and bicycling for low-income shift workers

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  • Chandra, Shailesh
  • Jimenez, Jose
  • Radhakrishnan, Ramalingam

Abstract

This paper addresses an important issue related to nighttime commuting of low-income shift workers who walk and/or bike to their workplace using public transit. A shift worker is anyone who follows a work schedule that is outside of the typical daytime working hours of a business day and commute after dark - by walking or bicycling to a transit stop. However, poor visibility conditions on sidewalks and bicycle lanes often thwart safety of their walking and bicycling activities. Therefore, this paper develops two simple scores - nighttime accessibility score for walking (NASW) and nighttime accessibility for bicycling (NASB) - for evaluating nighttime infrastructure for pedestrians and bicyclist. The scores consider the employment data, travel time and the physical distribution of streetlight poles along the sidewalks and bicycle lanes. Data from the city of El Paso in Texas is used to demonstrate the applicability of the two scores. Employment data from three prominent service industry sectors known to employ low-income shift workers – i) Retail Trade, ii) Accommodation and Food Services, and iii) Health Care and Social Assistance – are used for demonstration purposes. It is observed that amongst the three sectors analyzed, both NASW and NASB values are higher for regions in El Paso with low-income employment concentrations from the Health Care and Social Assistance sector. It is also observed that some prominent regions in north-east, south-east and west of El Paso need improvements in streetlight systems, sidewalks and bicycle network to facilitate walking and bicycling amongst low-income shift workers employed in Retail Trade, and Accommodation and Food Services industry sectors to access transit stops at night.

Suggested Citation

  • Chandra, Shailesh & Jimenez, Jose & Radhakrishnan, Ramalingam, 2017. "Accessibility evaluations for nighttime walking and bicycling for low-income shift workers," Journal of Transport Geography, Elsevier, vol. 64(C), pages 97-108.
  • Handle: RePEc:eee:jotrge:v:64:y:2017:i:c:p:97-108
    DOI: 10.1016/j.jtrangeo.2017.08.010
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    References listed on IDEAS

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    1. Smeds, Emilia & Robin, Enora & McArthur, Jenny, 2020. "Night-time mobilities and (in)justice in London: Constructing mobile subjects and the politics of difference in policy-making," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Rozynek, Caroline & Schwerdtfeger, Stefanie & Lanzendorf, Martin, 2022. "The influence of limited financial resources on daily travel practices. A case study of low-income households with children in the Hanover Region (Germany)," Journal of Transport Geography, Elsevier, vol. 100(C).
    3. Cunha, Isabel & Silva, Cecília & Büttner, Benjamin & Toivonen, Tuuli, 2024. "Pursuing cycling equity? A mixed-methods analysis of cycling plans in European cities," Transport Policy, Elsevier, vol. 145(C), pages 237-246.
    4. Luis André Wernecke Fumagalli & Denis Alcides Rezende & Thiago André Guimarães, 2022. "Data Intelligence in Public Transportation: Sustainable and Equitable Solutions to Urban Modals in Strategic Digital City Subproject," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    5. Liu, Chang & Bardaka, Eleni, 2021. "The suburbanization of poverty and changes in access to public transportation in the Triangle Region, NC," Journal of Transport Geography, Elsevier, vol. 90(C).
    6. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    7. Kapitza, Jonas, 2022. "How people get to work at night. A discrete choice model approach towards the influence of nighttime on the choice of transport mode for commuting to work," Journal of Transport Geography, Elsevier, vol. 104(C).
    8. Shailesh Chandra & Vivek Mishra, 2024. "Framework for Rail Transport Inequality Assessment: A Case Study of the Indian Railway Zones with Superfast Express (SE) Trains," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
    9. Chandra, Shailesh & Naik, R. Thirumaleswara & Venkatesh, Manoj & Mudgal, Abhisek, 2021. "Accessibility evaluations of the proposed road user charge (RUC) program in California," Transport Policy, Elsevier, vol. 113(C), pages 12-26.
    10. Shailesh Chandra & Timothy Thai, 2022. "Analyzing Freight Truck Platoon Accessibility with Route Deviations," Sustainability, MDPI, vol. 14(4), pages 1-22, February.

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