A user-based adaptive joint relocation model combining electric car-sharing and bicycle-sharing

Author(s):  
Ning Wang ◽  
Qiaoqian Liu ◽  
Jiahui Guo ◽  
Tong Fang
Author(s):  
Alessandro Ciociola ◽  
Dena Markudova ◽  
Luca Vassio ◽  
Danilo Giordano ◽  
Marco Mellia ◽  
...  

2020 ◽  
Vol 170 ◽  
pp. 03001 ◽  
Author(s):  
A. Hamroun ◽  
K. Labadi ◽  
M. Lazri

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.


Author(s):  
F. Teles ◽  
R. T. Gomes Magri ◽  
R. E. Cooper Ordoñez ◽  
R. Anholon ◽  
S. Lacerda Costa ◽  
...  

2020 ◽  
Vol 78 ◽  
pp. 102192 ◽  
Author(s):  
Xiang Huo ◽  
Xinkai Wu ◽  
Ming Li ◽  
Nan Zheng ◽  
Guizhen Yu

2019 ◽  
Vol 20 (12) ◽  
pp. 4691-4703 ◽  
Author(s):  
Michele Cocca ◽  
Danilo Giordano ◽  
Marco Mellia ◽  
Luca Vassio

2020 ◽  
Vol 1/2020 (32) ◽  
pp. 94-107
Author(s):  
Grzegorz Tchorek ◽  
◽  
Agnieszka Allen ◽  
Katarzyna Dziewanowska ◽  
Tomasz Geodecki ◽  
...  

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.


2019 ◽  
Vol 11 (20) ◽  
pp. 5627 ◽  
Author(s):  
Yixi Xue ◽  
Yi Zhang ◽  
Yi Chen

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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