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Improving the design of urban loading zone systems

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  • Muñuzuri, Jesús
  • Cuberos, Manuel
  • Abaurrea, Fátima
  • Escudero, Alejandro

Abstract

Despite the ubiquity of loading zones in most commercially dense streets of medium and large cities, there exists no generally acknowledged procedure to establish their number, location and management system. We propose a methodology divided in two steps, where the first one estimates the required number of loading zones on a given street and the second one locates them taking into account the delivery characteristics of the retail establishments they will be serving. The application of the methodology is tested in four streets in the Spanish city of Seville, following a retailer survey to collect all the relevant data. The results provided by the application in terms of number and location of loading zones are simulated together with other scenarios with different numbers of loading zones, and the outcomes are compared with the existing situation. The new methodology results in an improvement in the level of service provided with a similar – or smaller – number of loading zones, but most importantly causes a significant reduction in the distances between loading zone parking spaces and final destinations.

Suggested Citation

  • Muñuzuri, Jesús & Cuberos, Manuel & Abaurrea, Fátima & Escudero, Alejandro, 2017. "Improving the design of urban loading zone systems," Journal of Transport Geography, Elsevier, vol. 59(C), pages 1-13.
    • Handle: RePEc:eee:jotrge:v:59:y:2017:i:c:p:1-13
    DOI: 10.1016/j.jtrangeo.2017.01.004
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    References listed on IDEAS

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    Cited by:

    1. Snežana Tadić & Mladen Krstić & Milovan Kovač, 2023. "Assessment of city logistics initiative categories sustainability: case of Belgrade," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1383-1419, February.
    2. Jorge Luiz dos Santos Junior & Leise Kelli de Oliveira, 2020. "Analysis of the Level of Service of Unloading Zones Using Diversity Measures in a Multiplex Network," Sustainability, MDPI, vol. 12(10), pages 1-16, May.
    3. 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).
    4. Sara Ezquerro & José Luis Moura & Borja Alonso, 2020. "Illegal Use of Loading Bays and Its Impact on the Use of Public Space," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
    5. Mor, A. & Speranza, M.G. & Viegas, J.M., 2020. "Efficient loading and unloading operations via a booking system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    6. Fransoo, Jan C. & Cedillo-Campos, M. Gaston & Gamez-Perez, Karla M., 2022. "Estimating the benefits of dedicated unloading bays by field experimentation," Other publications TiSEM 2a1a802f-012c-4d11-93de-e, Tilburg University, School of Economics and Management.
    7. 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.
    8. Fransoo, Jan C. & Cedillo-Campos, M. Gastón & Gámez-Pérez, Karla M., 2022. "Estimating the benefits of dedicated unloading bays by field experimentation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 348-354.

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