Implementing bike-sharing systems

dell’Olio, Luigi; Moura, José Luis; Ibeas, Ángel

doi:10.1680/muen.2011.164.2.89

Cited by 53 publications

(20 citation statements)

References 15 publications

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“…Authors concluded that costs and emissions can be saved by the combined usage of cargo bikes and vans instead of vans alone. Dell'Olio [23] estimated the potential demand of a public bicycle system and the optimization of pick-up and drop-off point's locations. Lin and Yang (2010) also proposed a methodology for estimating the location and number of docking stations needed for a given system.…”

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.

123

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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.

123

View full text Add to dashboard Cite

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“…Since most major cities have planned or considered implementation of bike sharing systems, and existing systems are often expanded, several studies present models dedicated to strategic design. Dell'Olio et al (2011) develop a comprehensive methodology for implementation, from estimating potential demand to optimizing locations. Martinez et al (2012) and Prem Kumar and Bierlaire (2012) present MIP models for the location problem.…”

Section: Related Workmentioning

confidence: 99%

Inventory rebalancing and vehicle routing in bike sharing systems

Schuijbroek

Hampshire

Hoeve

2017

European Journal of Operational Research

451

304

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Bike sharing systems have been installed in many cities around the world and are increasing in popularity. A major operational cost driver in these systems is rebalancing the bikes over time such that the appropriate number of bikes and open docks are available to users. We combine two aspects that have previously been handled separately in the literature: determining service level requirements at each bike sharing station, and designing (near-)optimal vehicle routes to rebalance the inventory. Since finding provably optimal solutions is practically intractable, we propose a new cluster-first route-second heuristic, in which the polynomialsize Clustering Problem simultaneously considers the service level feasibility constraints and approximate routing costs. Extensive computational results on real-world data from Hubway (Boston, MA) and Capital Bikeshare (Washington, DC) are provided, which show that our heuristic outperforms a pure mixed integer programming formulation and a constraint programming approach.

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“…The design decisions are made with consideration for both total cost and service levels. Dell'Olio et al (2011) [7] present a complete methodology for the design and implementing of bicycle sharing systems based on demand estimates considering the stations and the fares. Vogel et al (2011) [38] develop a methodology for strategic and operational planning using data mining.…”

Section: A Review Of the Literaturementioning

confidence: 99%