ABM-GIS simulation for urban freight distribution of perishable food

El-Raoui, Hanane and Oudani, Mustapha and El Hilali Alaoui, Ahmed (2018) ABM-GIS simulation for urban freight distribution of perishable food. MATEC Web of Conferences, 200 (2018). pp. 1-8. 00006. ISSN 2261-236X (https://doi.org/10.1051/matecconf/201820000006)

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Abstract

Freight transport is essential to modern urban civilization. No urban area could exist without a powerful freight transport system. However, the distribution of perishable foods in urban areas is seen as a source of problems, due to traffic congestion, time pressures, and environmental impact. In this paper, an Agent-Based Model integrated with Geographic Information Systems (ABM-GIS) is designed for a time-dependent vehicle routing problem with time windows. This simulation model consists of determining the quickest routes to transport fresh products, estimating Vehicle kilometer traveled VKT and vehicle hour traveled VHT where speeds and travel times depend on the time of the day. Based on a case study, analyses of changes on traffic condition were conducted to get an insight into the impact of these changes on cost, service quality represented by the respect of time windows, and carbon emissions. The results reveal that traffic jams and restrictive time windows lead to additional cost, cause delays, and increase co2 emission. As for a short-term planning, time-dependent scheduling algorithm was proposed and assessed while extending time windows. Results have proved the potential saving in cost, travel time, and carbon emission.

  • Item type:Article
    ID code:86742
    Dates:
    Date
    Event
    14 September 2018
    Published
    11 August 2018
    Accepted
    Notes:© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). ABM-GIS simulation for urban freight distribution of perishable food, Hanane El Raoui, Mustapha Oudani and Ahmed El Hilali Alaoui, MATEC Web Conf., 200 (2018) 00006, DOI: https://doi.org/10.1051/matecconf/201820000006
    Subjects:Social Sciences > Commerce > Business > Personnel management. Employment management
    Department:Strathclyde Business School > Management Science
    Depositing user: Pure Administrator
    Date deposited:21 Sep 2023 10:52
    Last modified:01 May 2024 01:28
    URI:https://strathprints.strath.ac.uk/id/eprint/86742
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