The loading and unloading operations carried out by transport and logistics operators have a strong impact on city mobility if they are not performed correctly. If loading/unloading bays, i.e., delivery bays (DB), are not available for freight vehicle operations, operators may opt to double park or park on the sidewalk where there is no strong enforcement of these laws, with significant impact on congestion. This paper proposes a methodology for verifying and designing the number of delivery bays needed for freight vehicles for not interfere with cars or pedestrians. The methodology consists of two stages: in the first stage, an initial estimation is made using queueing theory. Subsequently, in the second stage, using such tentative scenario, in order to take into account the system stochasticity involving different entities, a discrete event simulation is performed to more realistically verify and upgrade (if necessary) the number of delivery bays to obtain the expected outcomes. The methodology was applied in the inner area of Santander (Spain). The study area was subdivided into 29 zones where the methodology was applied individually. The results indicated that none of these zones currently have an optimal number of delivery bays to satisfy demand. In some zones, there is an excess of delivery bays, although in most of them, there is a deficit which can cause significant impacts on traffic. The method proposed can be an effective tool to be used by city planners for improving freight operations in urban areas limiting the negative impacts produced in terms of internal and external costs.

Comi, A., Moura, J.l., Ezquerro, S. (2022). A Methodology for Assessing the Urban Supply of On-street Delivery Bays. GREEN ENERGY AND INTELLIGENT TRANSPORTATION, 1(3) [10.1016/j.geits.2022.100024].

A Methodology for Assessing the Urban Supply of On-street Delivery Bays

Comi, A.
;
2022-01-01

Abstract

The loading and unloading operations carried out by transport and logistics operators have a strong impact on city mobility if they are not performed correctly. If loading/unloading bays, i.e., delivery bays (DB), are not available for freight vehicle operations, operators may opt to double park or park on the sidewalk where there is no strong enforcement of these laws, with significant impact on congestion. This paper proposes a methodology for verifying and designing the number of delivery bays needed for freight vehicles for not interfere with cars or pedestrians. The methodology consists of two stages: in the first stage, an initial estimation is made using queueing theory. Subsequently, in the second stage, using such tentative scenario, in order to take into account the system stochasticity involving different entities, a discrete event simulation is performed to more realistically verify and upgrade (if necessary) the number of delivery bays to obtain the expected outcomes. The methodology was applied in the inner area of Santander (Spain). The study area was subdivided into 29 zones where the methodology was applied individually. The results indicated that none of these zones currently have an optimal number of delivery bays to satisfy demand. In some zones, there is an excess of delivery bays, although in most of them, there is a deficit which can cause significant impacts on traffic. The method proposed can be an effective tool to be used by city planners for improving freight operations in urban areas limiting the negative impacts produced in terms of internal and external costs.
2022
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ICAR/05 - TRASPORTI
English
Urban freight transportation; On-street delivery bays; Discrete event simulation; City logistics; Urban goods movements;
https://www.sciencedirect.com/science/article/pii/S277315372200024X?via=ihub
Comi, A., Moura, J.l., Ezquerro, S. (2022). A Methodology for Assessing the Urban Supply of On-street Delivery Bays. GREEN ENERGY AND INTELLIGENT TRANSPORTATION, 1(3) [10.1016/j.geits.2022.100024].
Comi, A; Moura, Jl; Ezquerro, S
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/308855
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