Efficiency evaluation model of car sharing for low-income people

Liya Yao*, Kai Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The newly emerged traffic mode, car sharing, is helpful to reduce energy consumption and traffic pressure. Low-income people, who have fewer options for transportation and little choice in terms of employment location, need to be paid more attention. In order to evaluate travel efficiency of car sharing system, this paper studied the commuting travel characters of low-income people, including their trip time, trip mode choice, trip length, trip frequency, and route choice each day. Then we put forward the evaluation indexes and studied the efficiency evaluation model of car sharing system and other traffic choices. Considering the characters of various traffic modes, we developed an efficiency index which including the total travel time, distance, and cost. Efficiency evaluation model of car sharing was built using the investigation data of travel mode selection. The results show that car sharing is an efficient traffic mode during peak hours in Beijing. The results are meaningful to guide the operation and management of urban public transport.

Original languageEnglish
Title of host publicationGreen Intelligent Transportation Systems - Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety
EditorsWuhong Wang, Xiaobei Jiang, Klaus Bengler, Xiaobei Jiang
PublisherSpringer Verlag
Pages915-924
Number of pages10
ISBN (Print)9789811035500
DOIs
Publication statusPublished - 2018
Event7th International Conference on Green Intelligent Transportation System and Safety, 2016 - Nanjing, China
Duration: 1 Jul 20164 Jul 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume419
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference7th International Conference on Green Intelligent Transportation System and Safety, 2016
Country/TerritoryChina
CityNanjing
Period1/07/164/07/16

Keywords

  • Car sharing
  • Data Envelopment Analysis
  • Efficiency evaluation
  • Low-Income People

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