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Commercial vehicle parking duration in New York City and its implications for planning

Author

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  • Schmid, Joshua
  • Wang, Xiaokun (Cara)
  • Conway, Alison

Abstract

Freight vehicle parking has long been an issue in urban areas; however, literature is limited and little attention has been paid to parking duration. Using field-collected freight parking observation data from New York City, this study estimated a parametric survival model to predict parking durations based on several characteristics of a parked freight vehicle. Results indicated that vehicles delivering different types of items parked for differing durations, while vehicles that parked illegally were likely to park for a shorter period of time. The model was then employed to make predictions regarding how parking durations would differ based on vehicle and delivery characteristics. An elasticity analysis was performed on each significant variable, and planning recommendations were made in order to maximize the amount of vehicles parking legally. Recommendations for future research included expanding the dataset to obtain more accurate estimates and applying the duration model to optimize operations at a business or logistics firm.

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  • 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.
    • Handle: RePEc:eee:transa:v:116:y:2018:i:c:p:580-590
    DOI: 10.1016/j.tra.2018.06.018
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    References listed on IDEAS

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    Cited by:

    1. Wang, Xiaokun (Cara) & Kim, Woojung & Holguín-Veras, José & Schmid, Joshua, 2021. "Adoption of delivery services in light of the COVID pandemic: Who and how long?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 270-286.
    2. 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).
    3. 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.
    4. Forscher, Teddy & Deakin, Elizabeth PhD & Walker, Joan PhD & Shaheen, Susan PhD, 2021. "Who Has Access to E-Commerce During the COVID-19 Pandemic in the Sacramento Region? Implications for Future E-Commerce and Shopping Tripmaking," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6mx0w7hj, Institute of Transportation Studies, UC Berkeley.
    5. Burns, Aaron J. & Michalek, Jeremy J. & Samaras, Constantine, 2024. "Estimating the potential for optimized curb management to reduce delivery vehicle double parking, traffic congestion and energy consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    6. 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).
    7. Yu, Zidong & Wang, Haotian & Liu, Xintao, 2024. "Unraveling intra-urban freight parking patterns: A data-driven geospatial study of shared logistics sector in Hong Kong," Journal of Transport Geography, Elsevier, vol. 117(C).
    8. Kim, Haena & Goodchild, Anne & Boyle, Linda Ng, 2021. "Empirical analysis of commercial vehicle dwell times around freight-attracting urban buildings in downtown Seattle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 320-338.
    9. Kim, Woojung & Wang, Xiaokun Cara, 2022. "The adoption of alternative delivery locations in New York City: Who and how far?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 127-140.
    10. 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).
    11. Daniela, Paddeu, 2021. "The Five Attribute Performance Assessment (FAPA) model to evaluate the performance of an urban consolidation centre," Research in Transportation Economics, Elsevier, vol. 90(C).
    12. Kalahasthi, Lokesh Kumar & Sánchez-Díaz, Iván & Pablo Castrellon, Juan & Gil, Jorge & Browne, Michael & Hayes, Simon & Sentís Ros, Carles, 2022. "Joint modeling of arrivals and parking durations for freight loading zones: Potential applications to improving urban logistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 307-329.
    13. Woojung Kim & Xiaokun (Cara) Wang, 2022. "Double parking in New York city: a comparison between commercial vehicles and passenger vehicles," Transportation, Springer, vol. 49(5), pages 1315-1337, October.
    14. Nevland, Erik A. & Gingerich, Kevin & Park, Peter Y., 2020. "A data-driven systematic approach for identifying and classifying long-haul truck parking locations," Transport Policy, Elsevier, vol. 96(C), pages 48-59.
    15. Narayanan, Santhanakrishnan & Gruber, Johannes & Liedtke, Gernot & Antoniou, Constantinos, 2022. "Purchase intention and actual purchase of cargo cycles: Influencing factors and policy insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 31-45.

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