Work

On effects of behavioral intention on travel preferences for electric car-sharing services: Empirical insights from the Netherlands

Year: 2024

Type: article

Abstract: • A set of hybrid choice models is established to test various effects of behavioral intention. • Behavioral intention significantly influences people’s stated preferences for ECS. • Behavioral intention has a stronger influence compared to social influence and personal attitude. • Operational implications are discussed for deploying ECS. Behavioral intention and use behavior toward emerging mobility services have received much attention recently in transportation research. Although it is commonly conceptualized that behavioral intention affects use behavior, these two subjects have been studied largely in isolation. To fill this gap, this paper investigates the effects of behavioral intention on travel preferences for electric car-sharing services (ECS). Based on a stated choice experiment with measurements of psychological factors deployed in the Netherlands, a series of hybrid choice models were established, in which various effects of behavioral intention on travel preferences were examined. The estimation of these models reveals the following findings. First, behavioral intention significantly influences people’s preferences for ECS. Holding all else unchanged, a higher behavioral intention results in a higher propensity to choose ECS. Second, people’s socio-demographic characteristics and travel context have significant interaction effects with behavioral intention and further influence their preferences for ECS. Third, among the ECS-specific attributes, access time has a significant interaction effect with behavioral intention, which can decrease the value of access time. Fourth, compared to social influence and personal attitude, peoples’ behavioral intention toward ECS has a larger influence on their choices.

Source: Transportation Research Part F Traffic Psychology and Behaviour

DOI: 10.1016/j.trf.2024.12.003

Authors: Xiaofeng Pan, Feixiong Liao

Institution: Wuhan University of Technology

Language: English

Topic: Transportation and Mobility Innovations

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: hybrid

Estimated APC paid: $2,950