Creation of a MaaS Readiness Index with local features
Domokos Esztergár-Kiss, Attila Aba
- Conference
- hEART 2022: 10th Symposium of the European Association for Research in Transportation (2022)
- Publication year
- 2022
Abstract
In this research smart mobility solutions are examined in the perspective of a Mobility-as-a-Service (MaaS) scheme. The main foundation behind the elaborated MaaS Readiness Indexes (MRI) is that there are specific features on which a MaaS framework could be based. It serves as a local index focusing on the mobility opportunities, the stakeholders, and the environment. The features included in the index can be divided into three areas: technical features, coopetition features, and added value features. To have comparable datasets, local partner and mobility service provider surveys are created. The MRI values are calculated for every pilot region and related to the outcomes of the pilot activities. As a result, the performance of the pilot activities is quantified. In most cases, the pilots support extensively the development of smart mobility solutions as justified by the positive change of the index values.
How to cite
Domokos Esztergár-Kiss; Attila Aba (2022). Creation of a MaaS Readiness Index with local features. In: hEART 2022: 10th Symposium of the European Association for Research in Transportation.