What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm

Firnkorn, Jörg; Müller, Martin

doi:10.1016/j.ecolecon.2011.03.014

Cited by 423 publications

(231 citation statements)

References 28 publications

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“…It may even be that car sharing schemes allow into car ownership and use those that had previously been excluded. Firnkorn and Müller (2011) report that in their study some 25 per cent of respondents said they might forgo ownership of their own car if the scheme were offered permanently. Perhaps some car sharing schemes such as the Daimler Benz Car2Go are marketing strategies as much as meaningful commercial opportunities in their own right.…”

Section: The Indications Of Post-automobilitymentioning

confidence: 99%

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

Wells

Xenias

2015

Environmental Innovation and Societal Transitions

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Section: The Indications Of Post-automobilitymentioning

confidence: 99%

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

Wells

Xenias

2015

Environmental Innovation and Societal Transitions

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“…As car sharing services increasingly become a mainstream transportation mode, it is expected to be further integrated into metropolitan transportation, land use strategies, and multimodal nodes [3]. In addition, the research has reported that free-floating car sharing services have similar results compared to traditional car-sharing systems based on fixed stations which also reduce car ownership in cities [4].…”

Section: Introductionmentioning

confidence: 56%

“…The impact forecasted per user is similarly compared to traditional car-sharing systems based on fixed stations. Therefore, free-floating fleets could reduce car ownership in cities [4]. Furthermore, in order to improve the traditional service which requires users to define a starting time and ending time for reservation, previous research has proposed open-ended car-sharing, giving flexibility to users without defining the ending time for reservation and rendering the car-sharing service as convenient as car ownership [18].…”

Section: Car Sharingmentioning

confidence: 99%

Performance Comparison of Reservation Based and Instant Access One-Way Car Sharing Service through Discrete Event Simulation

et al. 2015

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Abstract:A car sharing service has been highlighted as a new urban transport alternative for an environmentally friendly economy. As the demand for the service from customers increases, car sharing operators need to introduce a new service such as a one-way option that will allow customers to return the car to different stations. Due to the complexity of the one-way system, it needs to be managed and optimized for real cases. This paper focuses on developing a simulation model in order to help operators evaluate the performance of the one-way service. In addition, this research demonstrates a strategy for an open one-way service that can increase revenue and customer satisfaction. A real case dataset is used for investigation to find the best result from the simulation. The result showed that the total number of cars, number of one-way reservations and station size have an impact on one-way performance. Thus, company profit and customer satisfaction can be maximized by optimizing these factors.

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“…Strategy level covers issues of environment and resources benefits [8,9], market investigation [10,11], users' behavior [12,13], and network design [14,15]. Operating level problems also received attention, but studies are still not sufficient to support the industrial development, especially for one-way model, which allows users to pick up and drop off vehicles at different stations.…”

Section: Study On Vehicle Relocation Problemsmentioning

confidence: 99%

Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand

Wang

2018

Journal of Advanced Transportation

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Vehicle unbalance usually occurs in multistation electric carsharing systems. Threshold triggering method is one of the most practicable approaches for vehicle relocation, while determination of thresholds has not been sufficiently studied particularly for electric carsharing system. This paper presents an approach on determining the thresholds considering the stochastic demands and system states. Firstly, we establish a state transition model involving the stochastic variables to capture the dynamics of the number and battery status of vehicles as well as the traffic demands. Consequently, a dual-objective optimization model was developed to determine the proper values of thresholds. The solution algorithm employed the min-max robust optimization to tackle the uncertainty and the Pareto optimum to decide the solution under dual objectives. To test the distribution stochastic variables, we involve the orders data and the supplementary user survey. Comparison is conducted among three methods: the empirical rules, the deterministic method, and the stochastic method, where the results suggest that the stochastic method achieves better solutions on the dual objectives under stochastic demands.

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What will be the environmental effects of new free-floating car-sharing systems? The case of car2go in Ulm

Cited by 423 publications

References 28 publications

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

From ‘freedom of the open road’ to ‘cocooning’: Understanding resistance to change in personal private automobility

Performance Comparison of Reservation Based and Instant Access One-Way Car Sharing Service through Discrete Event Simulation

Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand

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