Identifying and Quantifying Factors Determining Dynamic Vanpooling Use
Open Access
- 29 September 2021
- journal article
- research article
- Published by MDPI AG in Smart Cities
- Vol. 4 (4), 1243-1258
- https://doi.org/10.3390/smartcities4040066
Abstract
Nowadays, the growth of traffic congestion and emissions has led to the emergence of an innovative and sustainable transportation service, called dynamic vanpooling. The main aim of this study is to identify factors affecting the travel behavior of passengers due to the introduction of dynamic vanpooling in the transportation system. A web-based mode choice survey was designed and implemented for this scope. The stated-preference experiments offered respondents binary hypothetical scenarios with an ordered choice between dynamic vanpool and the conventional modes of transport, private car and public transportation. In-vehicle travel time, total travel cost and walking and waiting time or searching time for parking varies across the choice scenarios. An ordered probit model, a multinomial logit model and two binary logit models were specified. The model estimation results indicate that respondents who are aged between 26 and 35 years old, commute with PT or are members of bike-sharing services were significantly more likely to choose dynamic vanpool or PT than private car. Moreover, respondents who are worried about climate change and are willing to spend more for environmentally friendly products are significantly more likely to use dynamic vanpool in comparison with private cars. Finally, to indicate the model estimation results for dynamic vanpool, the value of in-vehicle travel time is found to be 12.2€ per hour (13.4€ for Munich subsample).Keywords
Funding Information
- Deutsche Forschungsgemeinschaft (392047120)
This publication has 27 references indexed in Scilit:
- An empirical study on travel patterns of internet based ride-sharingTransportation Research Part C: Emerging Technologies, 2018
- Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approachTransportation Research Part C: Emerging Technologies, 2017
- To Share or Not to ShareTransportation Research Record: Journal of the Transportation Research Board, 2017
- Values of travel time in Europe: Review and meta-analysisTransportation Research Part A: Policy and Practice, 2016
- Preferences for shared autonomous vehiclesTransportation Research Part C: Emerging Technologies, 2016
- A quantum utility model for route choice in transport systemsTravel Behaviour and Society, 2016
- The Value of Privacy: Evidence From the Use of Mobile Devices for Traveler Information SystemsJournal of Intelligent Transportation Systems, 2015
- A Methodology for the Estimation of Value-of-Time Using State-of-the-Art Econometric ModelsJournal of Public Transportation, 2007
- A very brief measure of the Big-Five personality domainsJournal of Research in Personality, 2003
- Analysis of the Role of Traveler Attitudes and Perceptions in Explaining Mode-Choice BehaviorTransportation Research Record: Journal of the Transportation Research Board, 1999