Station Planning by Simulating User Behavior for Electric Car-Sharing Systems

2018 ◽  
pp. 275-282
Author(s):  
Benjamin Biesinger ◽  
Bin Hu ◽  
Martin Stubenschrott ◽  
Ulrike Ritzinger ◽  
Matthias Prandtstetter
Keyword(s):  
User Behavior ◽  
Car Sharing ◽  
Electric Car

Impact of Charging Infrastructure and Policies on Electric Car Sharing Systems

2020 ◽  
Author(s):  
Alessandro Ciociola ◽  
Dena Markudova ◽  
Luca Vassio ◽  
Danilo Giordano ◽  
Marco Mellia ◽  
...  
Keyword(s):  
Car Sharing ◽  
Charging Infrastructure ◽  
Electric Car

scholarly journals Modelling and Performance Analysis of Electric Car-Sharing Systems Using Petri Nets

2020 ◽  
Vol 170 ◽  
pp. 03001 ◽  
Author(s):  
A. Hamroun ◽  
K. Labadi ◽  
M. Lazri
Keyword(s):  
Petri Nets ◽  
Simulation Analysis ◽  
Discrete Event ◽  
Stochastic Petri Nets ◽  
Car Sharing ◽  
Event Simulation ◽  
Electric Car ◽  
Bike Sharing ◽  
And Performance ◽  
Charging Stations

Car sharing systems emerged as a new answer to mobility challenges in smart and sustainable cities. Despite their apparent success, design and exploitation of such systems raise crucial strategic and operational challenges. To help planners and decision makers, simulation, analysis and optimization models are unavoidable. Based on the formal modelling and analysis power of stochastic Petri nets, this paper proposes a discrete event simulation model for electric car sharing systems for performance and analysis purposes, taking into account their complex dynamic behaviour, organization and parameters including capacities of the stations, battery and energy availability, locations of charging stations and also their car maintenance activities, not negligible compared to the case of bike-sharing systems.

Sustainability measurement of product-service systems: Brazilian case studies about electric car-sharing

2018 ◽  
Vol 25 (8) ◽  
pp. 722-729 ◽  
Author(s):  
F. Teles ◽  
R. T. Gomes Magri ◽  
R. E. Cooper Ordoñez ◽  
R. Anholon ◽  
S. Lacerda Costa ◽  
...  
Keyword(s):  
Case Studies ◽  
Service Systems ◽  
Car Sharing ◽  
Electric Car ◽  
Product Service ◽  
Sustainability Measurement ◽  
Product Service Systems ◽  
Brazilian Case

The allocation problem of electric car-sharing system: A data-driven approach

2020 ◽  
Vol 78 ◽  
pp. 102192 ◽  
Author(s):  
Xiang Huo ◽  
Xinkai Wu ◽  
Ming Li ◽  
Nan Zheng ◽  
Guizhen Yu
Keyword(s):  
Allocation Problem ◽  
Data Driven ◽  
Car Sharing ◽  
System A ◽  
Electric Car ◽  
Data Driven Approach

Free Floating Electric Car Sharing: A Data Driven Approach for System Design

2019 ◽  
Vol 20 (12) ◽  
pp. 4691-4703 ◽  
Author(s):  
Michele Cocca ◽  
Danilo Giordano ◽  
Marco Mellia ◽  
Luca Vassio
Keyword(s):  
System Design ◽  
Data Driven ◽  
Car Sharing ◽  
Electric Car ◽  
Data Driven Approach

Overview of Optimization Problems in Electric Car-Sharing System Design and Management

2016 ◽  
pp. 441-471 ◽  
Author(s):  
Georg Brandstätter ◽  
Claudio Gambella ◽  
Markus Leitner ◽  
Enrico Malaguti ◽  
Filippo Masini ◽  
...  
Keyword(s):  
System Design ◽  
Optimization Problems ◽  
Car Sharing ◽  
Electric Car

scholarly journals Electric Car Sharing as an Interdisciplinary Test Ground of Various Fields of Study

2020 ◽  
Vol 1/2020 (32) ◽  
pp. 94-107
Author(s):  
Grzegorz Tchorek ◽  
◽  
Agnieszka Allen ◽  
Katarzyna Dziewanowska ◽  
Tomasz Geodecki ◽  
...  
Keyword(s):  
Research Area ◽  
Sharing Economy ◽  
Point Of View ◽  
Urban Mobility ◽  
Low Carbon ◽  
Car Sharing ◽  
Electric Car ◽  
Scientific Disciplines ◽  
Engineering Sciences ◽  
Research Problems

The aim of the article is to present car sharing, with particular emphasis on electric car sharing, as an interdisciplinary research area. This applies not only to social sciences – management (strategy or marketing), sociology, economics (including the sharing economy), consumer psychology, but also to urban planning, engineering sciences (electrical engineering or energy) and, finally, ecology. Only the use of a broader perspective allows the understanding of the importance of car sharing, including electric vehicles, in contemporary social and economic processes. The diagnosis of factors that may affect the widespread use of car sharing, which we treat as an element of cities’ response to congestion and smog, requires a reference to the knowledge of the previously mentioned scientific disciplines. The core value of this article is that it provides a multi-faceted perspective on the consumer and prosumer, urban mobility and the energy ecosystem from the point of view of the sharing economy and zero/low carbon cars. In recent years, the number of research articles on car sharing has been growing (Ferrero, Perboli, Rosano, & Vesco, 2018); however, studies written from the point of view of a single, less often two scientific disciplines dominate. We propose to extend this perspective. Although, in research terms, this work is preliminary and exploratory, adopting a broad observation perspective should allow for establishing a dialogue between disciplines to ensure better formulation of research problems and solve socio economic dilemmas not only in the field of the sharing economy, and to better introduce the issue of car sharing to the area of management sciences.

scholarly journals An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD

2019 ◽  
Vol 11 (20) ◽  
pp. 5627 ◽  
Author(s):  
Yixi Xue ◽  
Yi Zhang ◽  
Yi Chen
Keyword(s):  
Electric Vehicles ◽  
Planning Process ◽  
Cost Benefit Analysis ◽  
Evaluation Criteria ◽  
Relative Weight ◽  
Cost Benefit ◽  
Evaluation Framework ◽  
Car Sharing ◽  
Electric Car ◽  
Routine Inspection

The combination of car-sharing and electric vehicles can increase the acceptance of electric vehicles and facilitate car-sharing to be a more sustainable means of transport. However, this also poses more challenges for the good planning of electric car-sharing systems. To assist car-sharing companies in improving the planning decisions, this paper developed an evaluation framework from a comprehensive view. In the first step, four evaluation criteria were identified according to the planning process: construction of stations; routine inspection; vehicle usability and relocation management; and the maintenance and replacement of stations. Then, a combinatorial method based on analytic hierarchy process (AHP), cost-benefit analysis (CBA), and Voronoi diagram (VD) is developed to determine the relative weight of the four criteria and evaluate the alternative. Finally, the evaluation framework was applied in a realistic case of EVCARD, which is the most influential electric car-sharing company in China. The performance of two different operational districts of EVCARD—Jingan and Changning—were compared. The results showed that vehicle usability and relocation management is the greatest criterion influencing the planning performance of the electric car-sharing system in China, and that routine inspection is a negligible but important factor. According to the relative scores, Jiagan District performed better than Changning district.

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