Complementing or competing with public transit? Evaluating the parameter sensitivity of potential Mobility-as-a-Service (MaaS) urban users in Germany, the Czech Republic, Poland, and the United Kingdom with a mixed choice model
In this study, we conducted a comprehensive survey involving a substantial sample size (n = 6,405) of urban daily commuters across four European nations (Germany, the United Kingdom, Poland, and the Czech Republic). Our investigation contributes to an enriched comprehension of the user dynamics associated with Mobility-as-a-Service alternatives and their interrelation with public transit modalities in the context of travel preferences. Specifically, we researched the responsiveness of participants to variations in pricing and travel durations. Additionally, we examine the tendencies of various participant categories, stratified into distinct segments based on shared attributes, toward the adoption of public transportation, MaaS solutions, or private vehicular transport. Our findings highlight the essential role fundamental mobility determinants, such as price and travel time, play in influencing the likelihood of opting for a specific transportation modality. This phenomenon was particularly discernible within the "Unspecified Users" group, which gives us options to alter their behavior. The analytical framework used in our study that combined several mathematical modeling tools provided insight into the choices people make when choosing between different travel options, and our findings may be used by decision makers to create better and more informed approaches to promote sustainable alternatives to the use of cars in urban settings.
| Year of publication: |
2024
|
|---|---|
| Authors: | Matowicki, Michal ; Pecherkova, Pavla ; Amorim, Marco ; Kern, Mira ; Motzer, Nicolaj ; Pribyl, Ondrej |
| Published in: |
Transportation. - New York, NY : Springer US, ISSN 1572-9435. - Vol. 53.2024, 1, p. 399-432
|
| Publisher: |
New York, NY : Springer US |
| Subject: | Discrete choice modeling | Multilayer mixed model | Mobility-as-a-Service | Survey data |
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