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A model system for the ex-ante assessment of city logistics measures

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  • Russo, Francesco
  • Comi, Antonio

Abstract

This paper proposes a model system developed in order to support ex-ante assessment of city logistics measures. The model system allows us to simulate the choices of each decision-maker involved in the urban freight transport and logistics and to investigate how the policies and the following measures can influence her/his choices. The model system is an open architecture and consists of two levels: commodity and vehicle. The commodity level allows us to analyse the attraction and acquisition movements taking into account the effects due to city logistics policy implementation affecting the end-consumer and retailer/wholesaler/producer (restocker) choices. The freight sold in each urban shop (or in general urban business) is estimated starting from consumption demand and, then, the restocker's choices for restocking are analysed in depth. The vehicle level focuses on the restocking process and the links between retailer and wholesaler/producer operating in the study area. This level allows us to investigate the impacts of implementing city logistics measures on journey time, timing and path used for restocking the urban retail businesses.

Suggested Citation

  • Russo, Francesco & Comi, Antonio, 2011. "A model system for the ex-ante assessment of city logistics measures," Research in Transportation Economics, Elsevier, vol. 31(1), pages 81-87.
    • Handle: RePEc:eee:retrec:v:31:y:2011:i:1:p:81-87
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    1. Jean-Louis Routhier & Florence Toilier, 2007. "FRETURB V3, A Policy Oriented Software of Modelling Urban Goods Movement," Post-Print halshs-00963847, HAL.
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    2. Anna Corinna Cagliano & Alberto Marco & Giulio Mangano & Giovanni Zenezini, 2017. "Levers of logistics service providers’ efficiency in urban distribution," Operations Management Research, Springer, vol. 10(3), pages 104-117, December.
    3. Laranjeiro, Patrícia F. & Merchán, Daniel & Godoy, Leonardo A. & Giannotti, Mariana & Yoshizaki, Hugo T.Y. & Winkenbach, Matthias & Cunha, Claudio B., 2019. "Using GPS data to explore speed patterns and temporal fluctuations in urban logistics: The case of São Paulo, Brazil," Journal of Transport Geography, Elsevier, vol. 76(C), pages 114-129.
    4. Elpida Xenou & Michael Madas & Georgia Ayfandopoulou, 2022. "Developing a Smart City Logistics Assessment Framework (SCLAF): A Conceptual Tool for Identifying the Level of Smartness of a City Logistics System," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
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    6. Giacomo Lozzi & Gabriele Iannaccone & Ila Maltese & Valerio Gatta & Edoardo Marcucci & Riccardo Lozzi, 2022. "On-Demand Logistics: Solutions, Barriers, and Enablers," Sustainability, MDPI, vol. 14(15), pages 1-21, August.
    7. Musolino, Giuseppe & Rindone, Corrado & Polimeni, Antonio & Vitetta, Antonino, 2019. "Planning urban distribution center location with variable restocking demand scenarios: General methodology and testing in a medium-size town," Transport Policy, Elsevier, vol. 80(C), pages 157-166.
    8. Rafael Villa & Andrés Monzón, 2021. "Mobility Restrictions and E-Commerce: Holistic Balance in Madrid Centre during COVID-19 Lockdown," Economies, MDPI, vol. 9(2), pages 1-19, April.
    9. Daniel Kaszubowski, 2019. "A Method for the Evaluation of Urban Freight Transport Models as a Tool for Improving the Delivery of Sustainable Urban Transport Policy," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    10. Massimo Di Gangi & Antonio Polimeni & Orlando Marco Belcore, 2023. "Freight Distribution in Small Islands: Integration between Naval Services and Parcel Lockers," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    11. Taufiq Suryo Nugroho & Chandra Balijepalli & Anthony Whiteing, 2021. "Independent Retailer Restocking Choices in Urban Goods Movement and Interaction Effects with Traditional Markets," Networks and Spatial Economics, Springer, vol. 21(4), pages 933-969, December.
    12. Stathopoulos, Amanda & Valeri, Eva & Marcucci, Edoardo, 2012. "Stakeholder reactions to urban freight policy innovation," Journal of Transport Geography, Elsevier, vol. 22(C), pages 34-45.
    13. Lindawati & Johan van Schagen & Mark Goh & Robert de Souza, 2014. "Collaboration in urban logistics: motivations and barriers," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(2), pages 278-290, July.
    14. Jacek Oskarbski & Daniel Kaszubowski, 2018. "Applying a Mesoscopic Transport Model to Analyse the Effects of Urban Freight Regulatory Measures on Transport Emissions—An Assessment," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    15. Boggio-Marzet, Alessandra & Villa-Martínez, Rafael & Monzón, Andrés, 2023. "Selection of policy actions for e-commerce last-mile delivery in cities: An online multi-actor multi-criteria evaluation," Transport Policy, Elsevier, vol. 142(C), pages 15-27.
    16. Sergio Maria Patella & Gianluca Grazieschi & Valerio Gatta & Edoardo Marcucci & Stefano Carrese, 2020. "The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review," Sustainability, MDPI, vol. 13(1), pages 1-29, December.

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