Széchenyi Plan Plus | Government of Hungary. Funded by the European Union. NextGeneration EU.

EN HU
  • Discover
    • News
    • Events
    • Report
  • Research & development
    • Areas of application
    • Research topics
  • Resources
    • Publications
    • Lead researchers
  • Partners
    • Consortium members
    • International partners
    • Industry contacts
    • University contacts
  1. Home
  2. Publications
Promet - Traffic&Transportation, Vol. 32, No. 5 / June 2020

Quality assessment method for mobility as a service

The ongoing development of the concept ‘Mobility as a Service (MaaS)’ along with Shared Mobility contributes to the integration of transportation systems. Several MaaS or similar services are already in operation. The perceived quality of MaaS by the users varies significantly, and no general method is proposed to evaluate the service quality. This scantiness is identified as the research gap. The objective of the research is to elaborate a quantitative method to assess MaaS services. The research question is how to assess the quality of MaaS, and how to transform the qualitative description into quantitative numerical values, namely, the quality index and the level of quality. Since user expectations towards the importance of criteria are taken into consideration, the modified triangular fuzzy analytic hierarchy process method is introduced to calculate the weights of criteria. A quantitative method to calculate the quality index and to assign the quality level has been elaborated. Ten MaaS services are assessed with the method. It was found that the journey comfort is regarded with significant importance among the respondents. Furthermore, the quality index of MaaS services is not high; accordingly, the service quality requires continuous improvement. Our method facilitates decision-making when planning MaaS to identify the expected service attributes.

Url
DOI: 10.7307/ptt.v32i5.3374
Authors
He, Y.
Csiszár, Cs,

Kapcsolat

Prof. Dr. Péter Gáspár

H-1111 Budapest, Kende u. 13-17.

+36 1 279 6000

autonom@nemzetilabor.hu

© 2020-2023 National Laboratory for Autonomous Systems, Budapest