A Simulation-optimization Approach to Design Efficient Systems of Bike-sharing

Romero, Juan Pablo; Ibeas, Ángel; Moura, José Luis; Benavente, Juan; Alonso, Borja

doi:10.1016/j.sbspro.2012.09.782

Cited by 86 publications

(37 citation statements)

References 11 publications

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“…Findings about motivators and barriers of using bikesharing are consistent with previous results, especially about the importance of a network that fits into one's itineraries [1,15], a key issue of recent bike-sharing research [31,32,43,44]. Nevertheless, adaptation of outcomes in other planned or existing systems needs precaution in light of the review of previous literature and results of the present paper.…”

Section: Resultssupporting

confidence: 89%

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Impacts of Smart Configuration in Pedelec-Sharing: Evidence from a Panel Survey in Madrid

Munkácsy

Monzón

2017

Journal of Advanced Transportation

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Despite the recently increasing research interest, this is one of the first studies employing a panel sample of users and nonusers to understand the bike-sharing phenomenon ( = 205). On the basis of a novel surveying technique, a case study on the clients of the state-of-the-art bike-sharing scheme of Madrid (Spain) is presented. BiciMAD is a system of the latest generation, namely, multimodal demand responsive bike-sharing: a fleet of electric pedal-assisted bicycles (pedelecs) with an advanced technology and unique smart service configuration to tackle challenges that may hinder the promotion of cycling and bike-sharing in the city. A statistical test has verified that there is a moderate association between previous intention and actual use of bike-sharing (Cramer's V = 0.25) and both barriers and motivators of further use have been identified. Indicators on mobility patterns show that although drawing primarily from other sustainable modes of transport, bike-sharing has increased mobility (total number and distance of trips) and especially active travel but decreased the perceived travel time.

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Section: Resultssupporting

confidence: 89%

“…As Spain is one of the countries with the highest number of bike-sharing systems, there is growing interest in their research [e.g., [31][32][33][34][35][36]] and there is an initiative to publish data and information about bike-sharing systems [37], but there is still room for further investigation in the topics of the present paper.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of Smart Configuration in Pedelec-Sharing: Evidence from a Panel Survey in Madrid

Munkácsy

Monzón

2017

Journal of Advanced Transportation

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“…The optimization model is based on application of a bilevel mathematical program (Figure 1) [7,16,29] to find the best alternatives from an economic, social, and environmental viewpoint. From the lower level, via the city network model, vehicle flow, access, waiting and travelling times, and so on are obtained and then used on the upper level.…”

Section: Methodsmentioning

confidence: 99%

“…Beginning with Santander network model data [29], three different routes will be considered: the first one (R1) goes through roads with two lanes per direction, with the exception of an 800-metre tunnel at the end of it; the second route (R2) differs only from R1 in that instead of going through the tunnel, it borders the city using coastal 1-lane per direction roads; and the third route (R3) travels through some streets that, though they have two or three lanes per direction, are also the most congested ones in the city. See Figure 2.…”

Section: Case Studymentioning

confidence: 99%

Minimizing the Impact of Large Freight Vehicles in the City: A Multicriteria Vision for Route Planning and Type of Vehicles

Ezquerro

Romero

Moura

et al. 2018

Journal of Advanced Transportation

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The impact of freight transport in cities is significant, and as such correct planning and management thereof help reduce their enormous negative impact. Above all, the special large vehicles have a greater impact than the remainder of freight vehicles, so a special attention should be paid to them. The vehicles which supply or pick up large amounts of goods at specific points throughout the city are an example of this type of vehicles. The aim of this paper is to minimize the cost of this freight transport type from a social, economic, and environmental viewpoint. To this effect, an optimization model has been proposed based on bilevel mathematical programming which minimizes the total system costs. City network model data are obtained on the lower level such as vehicle flow and travelling times, which are then used on the upper level to calculate total system costs. The model has been applied to a real case in Santander (Spain), whose final result shows the size and typology of the fleet of vehicles necessary to have the least impact on the city. The greater the vehicles size is (i.e., using fewer trucks), the less the cost of the freight transport is.

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“…In the last two mentioned papers, authors used expected demand value to tackle demand uncertainty. Romero et al [12] presented a methodology for optimizing station locations with minimum social cost. In their approach, interactions between private and public transportation systems are considered.…”

Section: Introductionmentioning

confidence: 99%

A capacitated bike sharing location-allocation problem under demand uncertainty using sample average approximation: A greedy Genetic-Particle Swarm Optimization algorithm

2017

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Abstract. This paper considers a stochastic location-allocation problem for a capacitated bike sharing system (S-L&A-CBSS), in which bike demand is uncertain. To tackle this uncertainty, a Sample Average Approximation (SAA) method is used. Because this problem is an NP-hard problem, a hybrid greedy/evolutionary algorithm based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), namely greedy GA-PSO, is embedded in the SAA method in order to solve the given large-sized problems. The performance of the proposed hybrid algorithm is tested by a number of numerical examples and used for empirical test based on Tehran business zone. Furthermore, the associated results show its e ciency in comparison to an exact solution method in solving small-sized problems. Finally, the conclusion is provided.

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A Simulation-optimization Approach to Design Efficient Systems of Bike-sharing

Cited by 86 publications

References 11 publications

Impacts of Smart Configuration in Pedelec-Sharing: Evidence from a Panel Survey in Madrid

Impacts of Smart Configuration in Pedelec-Sharing: Evidence from a Panel Survey in Madrid

Minimizing the Impact of Large Freight Vehicles in the City: A Multicriteria Vision for Route Planning and Type of Vehicles

A capacitated bike sharing location-allocation problem under demand uncertainty using sample average approximation: A greedy Genetic-Particle Swarm Optimization algorithm

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