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

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.

Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan

“…These results show that travelers were more likely to choose car sharing for schooling and working trips. Some previous studies suggest that car-owners are more likely to choose car sharing for commuting and shopping trips with relative preference for trip distance ranging from 3 to 10 km [42,43,45]. The traveler's occupancy variable in the MNL model was highly significant and negatively associated with response variable for car sharing only for car-owners, while this variable was highly significant and positively associated with the response variable for personal car only for non-car-owners.…”

“…A number of previous studies have conducted surveys in a similar way, for instance, in Greece an electronic questionnaire through Google forms was conducted for understanding peoples' perception towards car and bike sharing services [44]. Wang et al (2017) used online-based questionnaires to collect information about individual travelers' acceptance of car sharing systems in China [45]. Questionnaires were divided into three separate groups.…”

“…Respondents were requested to complete the online questionnaire within two months from the date of receipt. Online surveys have great advantages; because they are easy for people to complete during their free time without any hurdle [45]. Our survey was completed in August 2018.…”

Electric Free-Floating Carsharing for Sustainable Cities: Characterization of Frequent Trip Profiles Using Acquired Rental Data

“…Educating drivers may be challenging since there may be little time to train carsharing clients and social inequities should be avoided. There are only a few papers in the literature dealing with the acceptance to FFCS [31,32], and more research is needed. Finally, the implementation of new low-emission areas (like Madrid Central) will need a detailed analysis with the aim of studying its impacts on the environment and the congestion of the city.…”

Stochastic Empty Container Repositioning Problem with CO2 Emission Considerations for an Intermodal Transportation System

“…In addition to minimising the operational cost, traffic pollution should be considered [4]. Recently, transportation growth has become one of main factors contributing to the increase of CO 2 emissions [5]. Take maritime transportation for example, in 2012, total shipping CO 2 emissions were estimated at 938 million tons accounting for 2.6% of global CO 2 emissions.…”