An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme

Author:

Nikolaidou Anastasia1ORCID,Papadopoulos Efthymis1ORCID,Politis Ioannis1ORCID,Basbas Socrates2ORCID

Affiliation:

1. Transport Engineering Laboratory, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

2. Department of Transportation & Hydraulic Engineering, School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Abstract

Mobility as a Service (MaaS) and, more recently, electric Mobility as a Service (eMaaS) have increasingly been put forward to meet the economic, social, and environmental challenges linked to mobility. First, however, monitoring and evaluating such a scheme’s performance is crucial, mainly through the definition of appropriate indicators. In this study, a standardised methodological approach is presented for the assessment of an eMaaS scheme. In addition, this methodological approach contains a range of innovative Key Performance Indicators (KPIs). The proposed KPIs refer to the evaluation of the scheme based on four pillars: (a) society, (b) users, (c) operators, and (d) internal operation. The methodology for evaluating the proposed KPIs includes identifying the available sources for data collection. For example, data can be collected through questionnaire surveys, focus group discussions, and the system’s central dashboard. An appropriate set of indicators to evaluate a system from various perspectives is necessary to assess an eMaaS scheme in real-life conditions. Furthermore, the evaluation of the overall operation of the scheme will contribute to drawing valid conclusions (e.g., user acceptance, economic viability) for the implementation of eMaaS in urban areas.

Funder

European Regional Development Fund

Greece

Publisher

MDPI AG

Subject

Automotive Engineering

Reference48 articles.

1. Heineke, K., Laverty, N., Möller, T., and Ziegler, F. (2023, June 01). The Future of Mobility in 2035. McKinsey. McKinsey Quarterly. Available online: https://www.mckinsey.com/industries/automotive-and-assembly/our-insights/the-future-of-mobility-mobility-evolves.

2. Nikitas, A., Kougias, I., Alyavina, E., and Tchouamou, E.N. (2017). How Can Autonomous and Connected Vehicles, Electromobility, BRT, Hyperloop, Shared Use Mobility and Mobility-As-A-Service Shape Transport Futures for the Context of Smart Cities?. Urban Sci., 1.

3. ITF (2021). The Innovative Mobility Landscape: The Case of Mobility as a Service, International Transport Forum Policy Papers, No. 92.

4. ITF (2023, June 01). Transport Climate Action Directory—Mobility as a Service (MaaS), Available online: https://www.itf-oecd.org/policy/mobility-as-a-service.

5. Kamargianni, M., Matyas, M., Li, W., and Muscat, J. (2018). Londoners’ Attitudes towards Car-Ownership and Mobility-as-a-Service: Impact Assessment and Opportunities that Lie Ahead, MaaS Lab.

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