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Receiver willingness to participate in off-hour service programs

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  • Caron, Benjamin
  • Holguín-Veras, José

Abstract

Service trips, a frequently overlooked segment of urban traffic, represent a disproportionately large share of the negative impacts associated with commercial activity. The reason is that although service trips are less frequent than freight trips, they often take longer and thus occupy a significant share of commercial parking. Demand management programs seeking to move service trips off-hours can potentially reduce congestion and emissions but they have been understudied. This paper describes research conducted to investigate receivers’ willingness to participate in off-hour programs for planned service activity. The research reported in this paper analyzes results from a survey of 189 business establishments in New York City and the Capital Region in New York State using descriptive analyses of the data, and by estimating a discrete choice model to gain insight into how business characteristics influence willingness to participate in off-hour services. To assess the impacts of a hypothetical off-hour services program, the authors applied the discrete choice model, together with service trip attraction models, to quantify the hours of daytime parking that could be eliminated by the proposed program in certain ZIP Codes in New York City and the Albany area. The research conducted led to the identification of numerous policy implications that will help policymakers understand and maximize the potential benefits of implementing off-hour service programs.

Suggested Citation

  • Caron, Benjamin & Holguín-Veras, José, 2022. "Receiver willingness to participate in off-hour service programs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 171-191.
    • Handle: RePEc:eee:transa:v:156:y:2022:i:c:p:171-191
    DOI: 10.1016/j.tra.2021.12.014
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    References listed on IDEAS

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    1. Holguín-Veras, José & Kalahasthi, Lokesh & Ramirez-Rios, Diana G., 2021. "Service trip attraction in commercial establishments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    2. Cherrett, Tom & Allen, Julian & McLeod, Fraser & Maynard, Sarah & Hickford, Adrian & Browne, Mike, 2012. "Understanding urban freight activity – key issues for freight planning," Journal of Transport Geography, Elsevier, vol. 24(C), pages 22-32.
    3. Schmid, Joshua & Wang, Xiaokun (Cara) & Conway, Alison, 2018. "Commercial vehicle parking duration in New York City and its implications for planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 580-590.
    4. José Holguín-Veras & Michael Silas & John Polimeni & Brenda Cruz, 2008. "An Investigation on the Effectiveness of Joint Receiver–Carrier Policies to Increase Truck Traffic in the Off-peak Hours," Networks and Spatial Economics, Springer, vol. 8(4), pages 327-354, December.
    5. Holguín-Veras, José & Wang, Xiaokun (Cara) & Sánchez-Díaz, Iván & Campbell, Shama & Hodge, Stacey D. & Jaller, Miguel & Wojtowicz, Jeffrey, 2017. "Fostering unassisted off-hour deliveries: The role of incentives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 172-187.
    6. Marcucci, Edoardo & Gatta, Valerio & Scaccia, Luisa, 2015. "Urban freight, parking and pricing policies: An evaluation from a transport providers’ perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 239-249.
    7. Holguín-Veras, José & Campbell, Shama & Kalahasthi, Lokesh & Wang, Cara, 2017. "Role and potential of a trusted vendor certification program to foster adoption of unassisted off-hour deliveries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 157-171.
    8. Gatta, Valerio & Marcucci, Edoardo & Delle Site, Paolo & Le Pira, Michela & Carrocci, Céline Sacha, 2019. "Planning with stakeholders: Analysing alternative off-hour delivery solutions via an interactive multi-criteria approach," Research in Transportation Economics, Elsevier, vol. 73(C), pages 53-62.
    9. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    10. Holguín-Veras, José & Aros-Vera, Felipe & Browne, Michael, 2015. "Agent interactions and the response of supply chains to pricing and incentives," Economics of Transportation, Elsevier, vol. 4(3), pages 147-155.
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    Cited by:

    1. Ramirez-Rios, Diana G. & Kalahasthi, Lokesh Kumar & Holguín-Veras, José, 2023. "On-street parking for freight, services, and e-commerce traffic in US cities: A simulation model incorporating demand and duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    2. Amaya, Johanna & Encarnación, Trilce & Delgado-Lindeman, Maira, 2023. "Understanding Delivery Drivers’ Parking Preferences in Urban Freight Operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).

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