Synthesis of Freight Research in Urban Transportation Planning

Giuliano, Geneviève; O’Brien, Thomas; Dablanc, Lætitia; Holliday, Kevin

doi:10.17226/22573

Cited by 52 publications

(34 citation statements)

References 12 publications

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“…As a result, urban goods distribution has been associated with negative impacts mainly related with traffic congestion of commercial vehicles, as well as of the road capacity reduction caused by frequent stops for This article is part of Topical Collection on The role of planning towards sustainable urban mobility loading or unloading operations, which results in lower energy efficiency and higher emissions profiles [1][2][3].…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…This solution can be reduce delivery time, freight vehicles movements looking to loading/unloading areas, as mentioned by McLeod and Cherrett (2011). Giuliano et al (2013) suggest intelligent transport systems as an element of urban freight transport and indicate car-to-infrastructure communication as on application existing but not widely used. The report indicates that application to online reservation for trucks delivery spaces failed due cost and complexity of system in Barcelona.…”

Section: Analysis Of Resultsmentioning

confidence: 99%

Locating on-street loading and unloading spaces by means of mixed integer programming

Prata

Oliveira²,

Holanda³

2018

TRANSPORTES

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In an urban freight distribu on system, determina on of the number and loca on of loading-unloading places is required to regulate loading-unloading opera ons. This paper presents mathema cal models for on-street loading-unloading space loca on based on set-covering problem and p-median problem formula ons. The approaches was tested with real data: an area has 160 city blocks and 60 on-street loading-unloading spaces, in Fortaleza, Brazil. We evaluated four scenarios considering different radius of influence of a loading/unloading spaces. The results indicate this approach has poten al for achieving gains in terms of reduc on of the distance between the clients and the loading and unloading places: considering that the average distance is a performance indicator (ra o between the total distance and the covered clients), a radius of influence of 400 meters has best rela on (0.489) and all clients are covered. The results indicate that the model can be used by planners to allocate loading and unloading areas. RESUMOEm um sistema de distribuição de carga urbana, é necessária a determinação do número e da localização dos locais de carga e descarga para regular as operações de carga e descarga. Este ar go apresenta modelos matemá cos para a localização do espaço de carga e descarga na rua com base no problema de cobertura e formulação de problemas de p-mediana. A abordagem foi testada com dados reais: uma área tem 160 quadras e 60 áreas de carga e descarga, em Fortaleza, Brasil. Avaliamos quatro cenários considerando diferentes raios de influência das áreas de carga/descarga. Os resultados indicam que esta abordagem tem potencial para obter ganhos em termos de redução da distância entre os clientes e os locais de carga e descarga: considerando que a distância média é um indicador de desempenho (relação entre a distância total e os clientes cobertos), um raio de influência de 400 metros tem melhor relação (0.489) e todos os clientes estão cobertos. Os resultados indicam que o modelo pode ser usado pelos planejadores para alocar áreas de carga e descarga.

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“…So far, more research on UFT and policy interventions have been conducted in Europe, with European cities having to face bigger lastmile challenges due to in general denser urban situations and stricter limits on the use of large trucks in comparison e.g. to the United States [3].…”

Section: Introductionmentioning

confidence: 99%

Last mile delivery by drones: an estimation of viable market potential and access to citizens across European cities

Aurambout

Gkoumas

Ciuffo

2019

Eur. Transp. Res. Rev.

203

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Rapid technological developments in autonomous unmanned aerial vehicles (UAV or drones) and an evolving legislation may soon open the way for their large-scale implementation in the last mile delivery of products. The use of drones could drastically decrease labour costs and has been hyped as a potential disruptor to the parcel delivery industry. Online retailers and delivery companies such as Amazon, are already filing up patents for the development of multi-level fulfilment centres for unmanned aerial vehicles or "drone-beehives" that would allow the deployment of this technology within built environment. A substantial amount of research has been carried out in the last years on the potential use of drones for parcel delivery, principally in the area of logistic optimisation. However, little is known about the potential market and economic viability of such services in Europe. This paper presents a modelling framework using EU-wide high-resolution population and land-use data to estimate the potential optimal location of drone-beehives based on economic viability criterion. It estimates the potential number of EU28 citizens that could potentially benefit from last mile-drone delivery services under four scenarios. The performed analyses indicates that under the scenario considered as the most technologically realistic, up to 7% of EU citizens could get access to such services. When considering technological improvements scenarios, the share reaches 30%. Furthermore, results suggest that due to the differences in population and land-use patterns in the different Member States, the potential drone coverage across Europe could be very heterogeneous, with the UK, Germany, Italy and France appearing as the most likely countries where drone-beehives may have the most efficient development.

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Synthesis of Freight Research in Urban Transportation Planning

Cited by 52 publications

References 12 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

Locating on-street loading and unloading spaces by means of mixed integer programming

Last mile delivery by drones: an estimation of viable market potential and access to citizens across European cities

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