使用货运自行车的最后一英里分配:帕多瓦的模拟研究

IF 0.7 Q4 TRANSPORTATION European Transport-Trasporti Europei Pub Date : 2023-02-01 DOI:10.48295/et.2023.90.3
Riccardo Ceccato
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引用次数: 0

摘要

最近电子商务的增长导致货运需求增加,这可能导致负面的外部性,特别是在城市地区。为了促进城市的可持续发展和提高城市的宜居性,许多地方当局正在实施城市车辆准入规定,例如低排放区,禁止污染车辆的流通。这些措施促使采用新的可持续货运解决方案,例如货运自行车,用于最后一英里的交付。本文的目的是描述为实现这样一个系统的研究。对该程序进行了以下测试:(1)确定转运设施的位置,将包裹从货车转移到货运自行车上;(2)估计该系统的环境和经济可持续性;(3)量化最终结果中的不确定性的影响。该框架被应用于帕多瓦(意大利)的市中心,在那里考虑了两套交付系统:第一套是从现有的城市整合中心开始的传统货车,第二套是从微型仓库开始的手动和电动货运自行车。特别是,对一个典型工作日的上门送货需求进行了估计;通过优化程序确定了货物运输方式的路线;这些数据被用作离散事件模拟模型的输入。由于交通拥堵,对与装卸时间和车辆行驶速度相关的潜在不确定性进行了敏感性分析。考虑到三个地点可能是转运点,对几种情况进行了测试。模拟结果用于估算关键绩效指标,评估两种交付方案的环境和经济影响。结果强调了货运自行车作为可持续运输系统的潜力,以及不确定性对替代方案(即微型枢纽)排名的影响。
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Last mile distribution using cargo bikes: a simulation study in Padova
The recent growth of e-Commerce has induced an increasing freight demand, which could lead to negative externalities, in particular in urban areas. To foster sustainable development of cities and increase their livability, many local authorities are implementing urban vehicle access regulations, such as low-emission zones, banning the circulation of polluting vehicles. These measures prompted the adoption of new sustainable freight transport solutions for last mile deliveries, such as cargo bikes. The aim of this paper is to describe the study for the implementation of such a system. The procedure was tested (1) to define the location of a transshipment facility where parcels are moved from vans to cargo bikes, (2) to estimate the environmental and economic sustainability of the system, and (3) to quantify the effects of uncertainty in the final results. The framework was applied to the city center of Padova (Italy), where two sets of delivery system were considered: the first with traditional vans starting from an existing urban consolidation center and the second with manual and electric cargo bikes starting from a micro-depot. In particular, demand of home deliveries was estimated for a typical weekday; routes of freight transport means were defined by an optimization procedure; these data were used as input to a Discrete Event Simulation model. A sensitivity analysis was carried out modelling the potential uncertainty associated with load/unload times and travel speed of means, due to traffic congestion. Several scenarios were tested considering three locations as potential transshipment points. Outcomes of the simulations were used to estimate key performance indicators, evaluating the environmental and economic effects of the two delivery schemes. Results highlighted the potentiality of cargo bikes as a sustainable delivery system, and the impacts of uncertainty on the ranking of alternative options (i.e. micro-hubs).
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