IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v116y2018icp580-590.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416310588
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tra.2018.06.018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    2. Chaniotakis, Emmanouil & Pel, Adam J., 2015. "Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 228-239.
    3. Eren Inci & Jos van Ommeren & Martijn Kobus, 2017. "The external cruising costs of parking," Journal of Economic Geography, Oxford University Press, vol. 17(6), pages 1301-1323.
    4. Nourinejad, Mehdi & Wenneman, Adam & Habib, Khandker Nurul & Roorda, Matthew J., 2014. "Truck parking in urban areas: Application of choice modelling within traffic microsimulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 54-64.
    5. 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.
    6. Hunt, J.D. & Stefan, K.J., 2007. "Tour-based microsimulation of urban commercial movements," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 981-1013, November.
    7. Andersson, Mats & Björklund, Gunilla & Haraldsson, Mattias, 2016. "Marginal railway track renewal costs: A survival data approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 68-77.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. 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).
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. 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.
    12. 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.
    13. 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.

    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. Ermagun, Alireza & Stathopoulos, Amanda, 2018. "To bid or not to bid: An empirical study of the supply determinants of crowd-shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 468-483.
    2. 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.
    3. 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).
    4. Clélia Lopez & Chuan-Lin Zhao & Stéphane Magniol & Nicolas Chiabaut & Ludovic Leclercq, 2019. "Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone," Sustainability, MDPI, vol. 11(5), pages 1-14, February.
    5. Jaller, Miguel & Rodier, Caroline & Zhang, Michael & Lin, Huachao & Lewis, Kathryn, 2021. "Fighting for Curb Space: Parking, Ride-Hailing, Urban Freight Deliveries, and Other Users," Institute of Transportation Studies, Working Paper Series qt3jn371hw, Institute of Transportation Studies, UC Davis.
    6. Geva, Sharon & Fulman, Nir & Ben-Elia, Eran, 2022. "Getting the prices right: Drivers' cruising choices in a serious parking game," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 54-75.
    7. Tscharaktschiew, Stefan & Reimann, Felix, 2023. "The economics of speed choice and control in the presence of driverless vehicle cruising and parking-as-a-substitute-for-cruising," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    8. Gu, Ziyuan & Li, Yifan & Saberi, Meead & Rashidi, Taha H. & Liu, Zhiyuan, 2023. "Macroscopic parking dynamics and equitable pricing: Integrating trip-based modeling with simulation-based robust optimization," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 354-381.
    9. Nourinejad, Mehdi & Roorda, Matthew J., 2017. "Impact of hourly parking pricing on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 28-45.
    10. 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.
    11. Tian, Qiong & Yang, Li & Wang, Chenlan & Huang, Hai-Jun, 2018. "Dynamic pricing for reservation-based parking system: A revenue management method," Transport Policy, Elsevier, vol. 71(C), pages 36-44.
    12. Pel, Adam J. & Chaniotakis, Emmanouil, 2017. "Stochastic user equilibrium traffic assignment with equilibrated parking search routes," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 123-139.
    13. Gu, Ziyuan & Safarighouzhdi, Farshid & Saberi, Meead & Rashidi, Taha H., 2021. "A macro-micro approach to modeling parking," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 220-244.
    14. Najmi, Ali & Bostanara, Maryam & Gu, Ziyuan & Rashidi, Taha H., 2021. "On-street parking management and pricing policies: An evaluation from a system enhancement perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 128-151.
    15. Dalla Chiara, Giacomo & Goodchild, Anne, 2020. "Do commercial vehicles cruise for parking? Empirical evidence from Seattle," Transport Policy, Elsevier, vol. 97(C), pages 26-36.
    16. Yan, Xiang & Levine, Jonathan & Marans, Robert, 2019. "The effectiveness of parking policies to reduce parking demand pressure and car use," Transport Policy, Elsevier, vol. 73(C), pages 41-50.
    17. Rodríguez, Andrés & Cordera, Rubén & Alonso, Borja & dell'Olio, Luigi & Benavente, Juan, 2022. "Microsimulation parking choice and search model to assess dynamic pricing scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 253-269.
    18. Amer, Ahmed & Chow, Joseph Y.J., 2017. "A downtown on-street parking model with urban truck delivery behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 51-67.
    19. Raja Gopalakrishnan & André Romano Alho & Takanori Sakai & Yusuke Hara & Lynette Cheah & Moshe Ben-Akiva, 2020. "Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation," Sustainability, MDPI, vol. 12(7), pages 1-12, March.
    20. Fan Wu & Wei Ma, 2022. "Clustering Analysis of the Spatio-Temporal On-Street Parking Occupancy Data: A Case Study in Hong Kong," Sustainability, MDPI, vol. 14(13), pages 1-25, June.

    More about this item

    Statistics

    Access and download statistics

    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:eee:transa:v:116:y:2018:i:c:p:580-590. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.