Synchronizing vans and cargo bikes in a city distribution network

Anderluh, Alexandra; Hemmelmayr, Vera C.; Nolz, Pamela C.

doi:10.1007/s10100-016-0441-z

Cited by 119 publications

(48 citation statements)

References 21 publications

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“…Anderluh [22] evaluated a two-echelon city distribution scheme with temporal and spatial synchronization between cargo bikes and vans based on a greedy randomized adaptative search procedure with path relinking. Authors concluded that costs and emissions can be saved by the combined usage of cargo bikes and vans instead of vans alone.…”

Section: State Of the Artmentioning

confidence: 99%

Evaluating the impacts of using cargo cycles on urban logistics: integrating traffic, environmental and operational boundaries

Melo

Baptista

2017

Eur. Transp. Res. Rev.

126

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Introduction European Commission has promoted actions and policies with the aim of reducing the negative impacts on traffic and environment caused by city logistics. One increasingly popular measure is the use of cargo bikes in city logistics due to their improved energy efficiency, lower emissions and lower traffic disturbance. The paper assess the impacts of electric cargo bikes, from a public policy perspective and, simultaneously, taking into account variables that cover the urban logistics operators' interests. Under a public policy perspective, the considered variables evaluate mobility, environmental impacts and indirectly, the quality of life. In terms of private interests, the studied variables cover costs levels (operation and driving) and efficiency. This evaluation aims at clarifying if electric cargo bikes can indeed represent a sustainable mobility policy under specific boundaries, by leading to better environmental and social impacts and not hindering the operational efficiency of urban logistics activities. Methods For that purpose, the measurement of the traffic key performance indicators, as well as of Well-to-Wheel energy and CO 2 emission savings is performed allowing to quantify mobility, reliability and operational efficiency indicators. Several scenarios related with the introduction of electric cargo bikes replacing conventional vans were assessed and evaluated in order to compare the effects of different market shares in the mobility of the studied area located in Porto (Portugal). Acknowledging the short distance range of cargo bikes, the simulation is carried out and an estimation of the total transportation cost is performed, which includes transport and emission cost when the vehicle is driving, emission cost while idling and labor cost. Results The main conclusion is that cargo bikes can replace up to 10% of the conventional vans in areas with maximum linear distances of about 2 km, without changing the overall network efficiency. Additionally, urban logistics WTW CO 2 emission impacts can be reduced by up to 73%, which represents 746 kg of CO 2 avoided emissions. Furthermore, the introduction of electric cargo bikes in urban logistics activities has positive effects for all the vehicle categories and all the scenarios, reaching up to 25% of reductions in external costs. Conclusions As a result, cargo bikes implemented at the appropriate spatial scale within the city can be a sustainable solution for urban logistics, depending on a prior delimitation of the conditions and adequate implementation strategy, to guarantee that it actually leads to improvements in terms of mobility, environment, energy, running costs and externalities.

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Section: State Of the Artmentioning

confidence: 99%

Evaluating the impacts of using cargo cycles on urban logistics: integrating traffic, environmental and operational boundaries

Melo

Baptista

2017

Eur. Transp. Res. Rev.

126

View full text Add to dashboard Cite

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“…Finally, input parameters e.g., cost values or locations, can be changed, and the sensitivity of these changes can be incorporated in the analysis. Simulation has successfully been used before in urban logistics [35][36][37][38][39].…”

Section: Simulationmentioning

confidence: 99%

Simulation of B2C e-commerce distribution in Antwerp using cargo bikes and delivery points

Arnold¹,

Cárdenas²,

Sörensen³

et al. 2017

Eur. Transp. Res. Rev.

151

100

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Purpose The growth of e-commerce is accompanied by an increasing distribution of parcels in cities resulting in externalities like traffic congestion or emissions. As a consequence, different delivery concepts like bike deliveries or delivery points have been suggested. Naturally, companies will only accept these changes, if they do not result in higher costs. However, it is difficult to predict the impact of a certain delivery concept in a certain city. This leads to the research question, how different delivery scenarios for a certain area can be assessed and compared, especially if some of them have not been implemented. Methods Using a case study, we demonstrate how the effects of different delivery concepts can be quantified with the help of a simulation study. We take care to accurately model the delivery processes and utilise a real-world dataset and realistic cost values. On the basis of these inputs, we simulate and analyse the current state-of-the-practice in the distribution of e-commerce goods in Antwerp and compare it to possible`what-if' scenarios. Results The results highlight that the investigated delivery concepts can benefit either the companies or the quality of life in the city. Operational costs of companies can be reduced by stimulating customer self-pick-up, while externalities decrease with the implementation of a cargo bike distribution system. Conclusions We demonstrate that both operational and external costs can be minimised, if involved stakeholders from industry and the public look for sustainable delivery solution jointly.

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“…Starting from the concept of green city, Huang et al [9] analyzed the factors that restrict the green development of urban distribution, and put forward a new urban distribution model. Alexandra et al [10] innovatively proposed a two-level urban distribution model based on time and space synchronization, and constructed a corresponding distribution path optimization model.…”

Section: Introductionmentioning

confidence: 99%

“…Suppose N = 10, K = 3, the encoding dimension is (10 + 3 − 1) × 1 = 12 × 1, thus a possible encoding can be (0.12, 0.37, 0.22, 0.96, 0.56, 0.35, 0.76, 0.57, 0.38, 0.91, 0.71, 0.26). Using the random key decoding rule, it is easy to get the integer arrangement (1,5,2,12,7,4,10,8,6,11,9,3). The integers 11 and 12 are the so-called sub-path segmentation, and the vehicle routes are:…”

mentioning

confidence: 99%

Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

et al. 2019

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The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the basis of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution routes with and without carbon emissions cost are constructed. Fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, path optimization considering the low carbon factor can effectively reduce the distribution process of CO 2 , and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit.

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Synchronizing vans and cargo bikes in a city distribution network

Cited by 119 publications

References 21 publications

Evaluating the impacts of using cargo cycles on urban logistics: integrating traffic, environmental and operational boundaries

Evaluating the impacts of using cargo cycles on urban logistics: integrating traffic, environmental and operational boundaries

Simulation of B2C e-commerce distribution in Antwerp using cargo bikes and delivery points

Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

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