Users’ Perception of Value of Travel Time and Value of Ridesharing Impacts on Europeans’ Ridesharing Participation Intention: A Case Study Based on MoTiV European-Wide Mobility and Behavioral Pattern Dataset

Abstract

Ridesharing as a form of mobility service increased significantly and has become a popular concept in recent years among users, mobility authorities, and transport service providers. This research focused on exploring an emerging view of value of travel time (VTT) from the traveler’s perspective, based on the stated travel time worthwhileness, preferences and motivations on their intention towards participation in ridesharing to evaluate individual’s perception of VTT and perceived value of ridesharing (VRS) impacts on intentions to participate in car sharing for their daily commuting using multinomial logit (MNL) model. This is particularly relevant today, as peer-to-peer mobility services are on the one hand shaping and redefining the value of technologies, and services, and on the other hand introducing new actors in the mobility eco-system. This study describes a survey of 278 people in 4 European countries: Finland, Portugal, Spain, and Slovakia as part of the “Mobility and Time Value” (MoTiV) H2020 project EU-wide data collection. In short, the empirical analysis indicates the high significance of enjoyment in terms of travel time worthwhileness on ridesharing adoption for commuting trips. Results also revealed economic benefit and enjoyment of being social as major motivators for participation in ridesharing. Findings are discussed in terms of implications for urban and transport planners, policy makers, and authorities to implement in shared mobility planning and to prepare transport policies which are tailored to individuals’ ridesharing needs and travel preferences and count also on travel happiness factors to better reflect the traveler’s personal ambitions. Suggestions for future research on shared mobility planning are outlined in conclusion.

Does Car Sharing Contribute to Urban Sustainability from User-Motivation Perspectives?

“…[88] with respect to the internal and external influencing factors, the current conceptual model porposes more detailed classification and introduces new groups of factors related to technological and economic issues, the environmental impact and the individual experience. While in the previous research study [88], most of these factors were considered as inter- The authors propose the following conceptual model of positive and negative factors influencing the decision to use car-sharing services that could be used as a theoretical background for future studies in other regions (see Figure 8). This conceptual model was developed by assuming previous research [88] and addressing the actual situation in Latvia for the year 2021.…”

“…While in the previous research study [88], most of these factors were considered as inter- The authors propose the following conceptual model of positive and negative factors influencing the decision to use car-sharing services that could be used as a theoretical background for future studies in other regions (see Figure 8). This conceptual model was developed by assuming previous research [88] and addressing the actual situation in Latvia for the year 2021. By referring to the classification provided by Malichová et.al.…”

“…By referring to the classification provided by Malichová et.al. [88] with respect to the internal and external influencing factors, the current conceptual model porposes more detailed classification and introduces new groups of factors related to technological and economic issues, the environmental impact and the individual experience.…”

“…Each section contains various multiple-choice questions, several of which used the Likert scale to quantify the answers. Findings and ideas from other researchers' methodologies and questionnaires related to car-sharing user experience and a range of motivational factors were used to define the survey questions [88]. The results of the survey were interpreted using descriptive statistics.…”

Matching User Preferences and Behavior for Mobility

“…We realized this study in the context of the Horizon 2020 project MoTiV (Mobility and Time Value), whose goal is to provide novel definitions of value of travel time (VTT) [21,28]. Within the scope of the MoTiV project data about travelers and their journeys 1 have been collected from a dedicated mobile application, developed for the project.…”