What Kind of People Use Carsharing for Commuting? Case Study in Shanghai

Author:

Ye Jianhong12,Wang Daoge1,Zhang Hua3,Yang Hong4

Affiliation:

1. The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China

2. UN Environment-Tongji Institute of Environment for Sustainable Development, Shanghai, China

3. National Maglev Transportation Engineering R&D Center, Tongji University, Shanghai, China

4. Department of Modeling, Simulation & Visualization Engineering, Old Dominion University, Norfolk, VA

Abstract

Carsharing as a service has been growing rapidly worldwide. Its expansion has drawn wide attention in the research community with regard to the underlying driving factors and user characteristics. Despite these extensive investigations, there are still limited studies focusing on the examination of users using carsharing as a commuting mode. The answers to questions such as what kind of people would like to use carsharing for commuting and why they frequently use carsharing to commute are not clear. To enrich our understanding of these problems, this paper aims to investigate carsharing commuters in a mega city. Specifically, it intends to integrate the actual user order data with survey data from 1,920 participants to uncover the characteristics of carsharing commuters. Data from the Evcard carsharing systems in Shanghai were explicitly analyzed. Through descriptive analysis and logistic regression models, the characteristics and critical factors that affect the choice of carsharing as a commuting mode were captured. The results show that: 1. carsharing commuters mostly live or work in suburban areas in which public transport accessibility is limited; 2. carsharing commuters are more likely to be highly educated, in a higher income bracket, and older than other carsharing members; 3. high-frequency carsharing commuters own a reduced number of private cars; and 4. those high-frequency carsharing commuters with higher income are less sensitive to the carsharing costs caused by congestion. The findings in the study offer some insights into carsharing commuters and provide some supportive information for considering policies in developing carsharing systems in urban areas.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

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