IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Assessing the impact of urban off-hour delivery program using city scale simulation models

Listed author(s):
  • Satish V. Ukkusuri

    ()

    (Purdue University)

  • Kaan Ozbay

    ()

    (New York University (NYU))

  • Wilfredo F. Yushimito

    ()

    (Universidad Adolfo Ibáñez)

  • Shri Iyer

    ()

    (MTA New York City Transit, Operations Planning-System Data and Research)

  • Ender F. Morgul

    ()

    (New York University (NYU))

  • José Holguín-Veras

    ()

    (Johnsson Engineering Center)

Registered author(s):

    Abstract This paper describes two different types of models to assess the traffic impacts of an off-hour delivery program for the New York City (NYC) borough of Manhattan. Traffic impacts are measured in New York City metropolitan region using both a regional travel demand model and a mesoscopic simulation model. Analysis is conducted to determine the effectiveness and impacts of the scenarios modeled; focusing on the changes predicted by the traffic models. The results from both models are compared and analyzed, and a discussion on the usage of these models is presented. While macroscopic models can be used to measure traffic effects in a large urban region, mesoscopic models similar to the one used in this paper have their advantages in terms of better quantifying traffic impacts of system-wide benefits. However, simulation time makes it impractical to use mesoscopic simulation for large urban regions. In this work, both the macroscopic regional travel demand model and a mesoscopic sub-simulation network show a measurable impact to congestion and network conditions. However, even when the results show an increasing benefit in terms of travel time savings and increasing speeds, cost–benefit analysis show that when compared with the costs (in this case implementation costs by providing incentives), only small receiver participation justifies the costs of the off-hour deliveries (OHD) program. As incentive amounts increase, receiver participation increases greatly, though the monetized traffic benefits do not necessarily increase at the same rate. Additional analysis was also performed with a targeted program where large traffic generators and large businesses were the recipients of the incentive. The benefits of the targeted program are estimated to be roughly equivalent to the cheapest scenario run for the broad-based program ($5,000 tax incentive assumption) at a fraction of the cost.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://link.springer.com/10.1007/s13676-015-0079-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Springer & EURO - The Association of European Operational Research Societies in its journal EURO Journal on Transportation and Logistics.

    Volume (Year): 5 (2016)
    Issue (Month): 2 (June)
    Pages: 205-230

    as
    in new window

    Handle: RePEc:spr:eurjtl:v:5:y:2016:i:2:d:10.1007_s13676-015-0079-3
    DOI: 10.1007/s13676-015-0079-3
    Contact details of provider: Web page: http://www.springer.com

    Web page: https://www.euro-online.org/web/pages/1/home

    Order Information: Web: http://www.springer.com/business+%26+management/operations+research/journal/13676

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. George Yannis & John Golias & Constantinos Antoniou, 2006. "Effects of Urban Delivery Restrictions on Traffic Movements," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(4), pages 295-311, April.
    2. Justin Siegel & Juan Enrique Coeymans, 2005. "An Integrated Framework for Traffic Analysis Combining Macroscopic and Microscopic Models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 28(2), pages 135-148, April.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:spr:eurjtl:v:5:y:2016:i:2:d:10.1007_s13676-015-0079-3. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

    or (Rebekah McClure)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.