01593646

Component

A free-floating carsharing system is a flexible way to provide cars to members within a limited area. One may wonder if the type of car influences the use of the service. This paper aims to present the user behavior with respect to type of car, electric and hybrid cars, in a free-floating carsharing system. To achieve this, Auto-mobile transactional and GPS datasets are used to analyze use of cars by members. A binomial logit model, aiming to explain the probability of choosing an electric car is estimated. The describe analysis and the model reveal that travel distance plays a major role in the probability of choosing an electric car. In fact, the authors observe that under 24 km, there is no differences between the two types of cars (hybrid vs electric) with respect to members’ choice. Above this distance, hybrid vehicles account for the majority of the reservations. Temperature and gender also affect the probability of choosing an electric car: this probability is higher for women and lower when temperature is below freezing point. Unsurprisingly, proportion of electric cars in the fleet of free-floating cars also has a significant influence on the probability of members to choose such car.

This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting. Alternate title: Differences Between Electric and Hybrid Car Use in a Free-Floating Carsharing System

01584066

16-5270

English

15p

2016

Transportation Research Board 95th Annual Meeting

Digital/other

Figures; Maps; References; Tables

Electric vehicles; Gender; Hybrid vehicles; Temperature; Travel behavior; Trip length; Vehicle sharing

Highways; Planning and Forecasting; Vehicles and Equipment

Transportation Research Board Annual Meeting 2016 Paper #16-5270

TRIS, TRB, ATRI

Jan 12 2016 6:18PM