Operations Research and Management Science ›› 2019, Vol. 28 ›› Issue (6): 166-174.DOI: 10.12005/orms.2019.0141

• Application Research • Previous Articles     Next Articles

Analysis of Electric Vehicle Sharing Commercial Network Development andBuilding of the Layout Algorithm Based on the Network Effect

SHI Le-feng, LV tong   

  1. School of Economics & Management, Center for Intelligent Energy Management and Applications, Chong Qing Normal University, Chongqing 401331, China
  • Received:2017-12-13 Online:2019-06-25

计及网络效应的共享电动汽车租赁网络扩张特征分析与布局算法构建

史乐峰, 吕通   

  1. 重庆师范大学 经济与管理学院,智慧能源管理与应用研究中心,重庆 401331
  • 通讯作者: 吕通(1994-),女,陕西西安人,硕士研究生,从事高新技术产品扩散研究。
  • 作者简介:史乐峰(1982-),男,河南南阳人,副教授,博士,从事高新技术产品扩散研究。
  • 基金资助:
    教育部人文社会科学研究青年基金项目(18YJC790137);重庆市社会科学规划重点智库项目(2018ZDZK06);重庆市教委科学技术研究项目(KJ1703067);重庆师范大学青年拔尖人才培育计划(020303070059)

Abstract: The layout of renting network is the fundamentals of the car sharing business. To provide a framework for assisting the layout of electric vehicles(EVs)sharing network, this paper analyzes the basic characteristics of the development of the EVs sharing network and constructs the corresponding optimal layout algorithm. Firstly, the profit feature of one single EVs sharing commercial lot is analyzed, which takes into account the network effects; and then the profit feature of the whole commercial network is inferred. The main conclusions are as follows: the positive and negative network effects could influence the profit characteristic of every EVs sharing lot; the layout order would affect the profit of the whole EVs sharing network; based on the above conducting outcomes, the Two Step Clustering Firefly Algorithm is put forward, which could not only improve the search precision and efficiency through the classification of the candidate lots, but also could give the layout order of EVs sharing lots. Finally, the applicability of the proposed algorithm is further demonstrated by an example analysis.

Key words: sharing electric vehicle, network effect, car sharing commercial network, two-step clustering-firefly algorithm

摘要: 共享租赁网络规划的合理性是共享电动汽车得以顺利发展的基础。为此,本文以共享租赁网络的合理布局作为主题,对共享电动汽车租赁网络的扩展特征进行建模分析,并据此提出相应的布局算法。研究发现:正负网络效应的综合影响使各类网点呈现出不同的利润特征,而对不同类型网点布局的先后顺序,将对整个网络的利润产生影响;基于此,本文提出两步聚类萤火虫算法,该算法不仅能提高前期搜索的效率和精度,同时通过对各候选网点的归类,可便捷地识别各候选网点的布局顺序。最后,通过算例分析进一步论证了所提算法的适用性。

关键词: 共享电动汽车, 网络效应, 汽车共享租赁网络, 两步聚类萤火虫算法

CLC Number: