The Effect Factors and Location Planning Method Study of a Novel Car-Sharing Network

2017-01-0249

03/28/2017

Features
Event
WCX™ 17: SAE World Congress Experience
Authors Abstract
Content
With the development of the Internet for vehicles, the Car-sharing has been developed rapidly in recent years. This paper focuses on the network programming and distribution for Car-sharing, which helps to clarify the characteristics and basic law of Car-sharing network development, as well as the main approaches to construct it. Firstly, by analyzing the effect factors and expanding ways of Car-sharing network, characteristics of the development of Car-sharing industry and its network, as well as main Car-sharing users and services, the influence factors of Car-sharing demand and the main demand points in a city are summarized. Secondly, in order to better evaluate the network programming and distribution for Car-sharing, this paper proposes an optimization decision method of the car-sharing network planning by evaluating the possible alternatives in a same scale. The assessment index of Car-sharing network planning is constructed. Then the Analytic Hierarchy Process (AHP) and grey correlation analysis system are utilized to select the best scheme. Finally, by using the two-dimensional space analytical method, the paper constructs a Car-sharing network location sitting model which can make a balance between supply and demand. Then, the model is applied in the city of Wuhan and the results show that the model is practicable. So, the theory and method of Car-sharing network and location planning can be applied to any city by using the same ways introduced in this paper, which are useful for the network programming and distribution for Car-sharing.
Meta TagsDetails
DOI
https://doi.org/10.4271/2017-01-0249
Pages
8
Citation
Mi, J., Jie, H., Zhu, H., Liu, H. et al., "The Effect Factors and Location Planning Method Study of a Novel Car-Sharing Network," SAE Technical Paper 2017-01-0249, 2017, https://doi.org/10.4271/2017-01-0249.
Additional Details
Publisher
Published
Mar 28, 2017
Product Code
2017-01-0249
Content Type
Technical Paper
Language
English