Next Article in Journal
Epidemiology and Management of Acute Haematogenous Osteomyelitis in a Tertiary Paediatric Center
Next Article in Special Issue
Nocturnal Road Traffic Noise Exposure and Children’s Sleep Duration and Sleep Problems
Previous Article in Journal
Stress in School. Some Empirical Hints on the Circadian Cortisol Rhythm of Children in Outdoor and Indoor Classes
Previous Article in Special Issue
Pedestrians in Traffic Environments: Ultrafine Particle Respiratory Doses
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Int. J. Environ. Res. Public Health 2017, 14(5), 476; doi:10.3390/ijerph14050476

Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China

1
MOE Key Laboratory for Urban Transportation, Complex System Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
2
School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, No.1 Zhanlanguan Road, Xicheng District, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Academic Editors: Norbert Mundorf and Colleen A. Redding
Received: 19 February 2017 / Revised: 21 April 2017 / Accepted: 26 April 2017 / Published: 2 May 2017
(This article belongs to the Special Issue Sustainable Transportation and Health)
View Full-Text   |   Download PDF [1818 KB, uploaded 2 May 2017]   |  

Abstract

Carsharing is growing rapidly in popularity worldwide. When the vehicles involved are Battery Electric Vehicles (BEV), carsharing has been proven to remarkably contribute to easing energy and environment crises. In this study, individuals’ acceptance to carsharing in China was measured from three aspects: carsharing mode choice behavior, highest acceptable price to use carsharing, and willingness to forgo car purchases. The data were collected by a web-based survey. The hierarchical tree-based regression (HTBR) method was applied to explore the effects of potential influencing factors on individuals’ acceptance, and some interesting findings were obtained: participants who know about carsharing were more likely to use carsharing, pay higher prices and forgo car purchases; the most competitive trip purpose and trip distance for choosing carsharing were, respectively, business activities and 11–20 km; most participants (47.1%) were willing to pay 1–2 Yuan per minute to use carsharing, and males or participants with higher income-level could accept higher price; and when car purchase restrain policy (CPRP) was carried out in a city or the urban public transport service level (UPTSL) was high, participants were more willing to forgo car purchases. Based on the above findings, corresponding policies were proposed to provide guidance for successful establishment of carsharing in China. View Full-Text
Keywords: carsharing; battery electric vehicles; private car ownership; hierarchical tree-based regression; policy implications carsharing; battery electric vehicles; private car ownership; hierarchical tree-based regression; policy implications
Figures

Figure 1a

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wang, Y.; Yan, X.; Zhou, Y.; Xue, Q.; Sun, L. Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China. Int. J. Environ. Res. Public Health 2017, 14, 476.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top