Sharing vehicles or sharing rides - Psychological factors influencing the acceptance of carsharing and ridepooling in Germany. (May 2022)

• Record Type: Journal Article
• Authors: Burghard, Uta; Scherrer, Aline
• Is Part Of: Energy policy. Volume 164(2022)
• Publication Date: 2022-05
• Subjects: Acceptance -- Attitudes -- Shared mobility -- Survey -- Path model; Energy policy -- Periodicals; Politique énergétique -- Périodiques; Electronic journals; 333.79
• DOI: 10.1016/j.enpol.2022.112874
• Languages: English
• ISSNs: 0301-4215

Abstract

Abstract: Shared mobility has the potential to reduce private car use and can thereby contribute to a mobility transition which reduces energy demand and greenhouse gas emissions. At the same time, shared mobility services still have a niche existence - even in major cities. If the goal is to establish shared mobility as a significant part of the mobility system, a key question is which factors determine the acceptance of individual services. Can perceived innovation-specific factors that can be more directly influenced by policies explain differences in attitudes and acceptance or does the explanatory power lie with psychological dispositions that are more difficult to change by policies? Do these factors apply in general or differ between different sharing services? We investigate these questions based on a survey study in major German cities to analyse the acceptance of two car-based shared mobility services, carsharing and ridepooling, in society (N = 1, 531). The data analysis based on two path models shows that perceived compatibility with daily life is the most important factor related to the acceptance of carsharing and ridepooling. Perceived ease of use positively affects the general attitude towards both services. We conclude that our findings offer potential intervention routes for policies that increase the acceptance of shared mobility. The prerequisites for the services to contribute to a reduction in energy consumption in the transport sector are also discussed. HIGHLIGHTS: Psychological variables can predict the acceptance of carsharing and ridepooling. Compatibility with personal values and needs is the strongest predictor for acceptance of CS and RP. For RP, the positive effect of environmental identity on the acceptance is more clear. Affinity for routines partly affects the acceptance of CS and RP in a negative way.