Electric vehicle fleet size and trip pricing for one-way carsharing services considering vehicle relocation and personnel assignment

Min Xu, Qiang Meng, Zhiyuan Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

145 Citations (Scopus)

Abstract

This study proposes an interesting electric vehicle fleet size and trip pricing (EVFS&TP) problem for one-way carsharing services by taking into account the necessary practical requirements of vehicle relocation and personnel assignment. The EVFS&TP problem aims to maximize the profit of one-way carsharing operators by determining the electric vehicle fleet size, trip pricing, and strategies of vehicle relocation and personnel assignment subject to the elastic demand for the one-way carsharing services. A mixed-integer nonlinear and nonconvex programming model is first built for the EVFS&TP problem. By exploiting the unique structure of the original built model, a mixed-integer convex programming model is subsequently developed. An effective global optimization method with several outer-approximation schemes is put up to find the global optimal or ε-optimal solution to the EVFS&TP problem. A case study based on a one-way carsharing operator in Singapore is conducted to demonstrate the efficiency of the proposed model and solution method and further analyse the impact of demand, the degree of demand variation, the fixed operational cost of the vehicles as well as payment for personnel on the performance of the one-way carsharing services.

Original languageEnglish
Pages (from-to)60-82
Number of pages23
JournalTransportation Research Part B: Methodological
Volume111
DOIs
Publication statusPublished - May 2018
Externally publishedYes

Keywords

  • Electric vehicles
  • Fleet size
  • Global optimization method
  • Mixed-integer convex programming model
  • Nonlinear elastic demand
  • One-way carsharing services
  • Trip pricing

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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