An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme

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 t...

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Main Authors: Anastasia Nikolaidou, Efthymis Papadopoulos, Ioannis Politis, Socrates Basbas
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:World Electric Vehicle Journal
Subjects:
Online Access:https://www.mdpi.com/2032-6653/14/7/186
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author Anastasia Nikolaidou
Efthymis Papadopoulos
Ioannis Politis
Socrates Basbas
author_facet Anastasia Nikolaidou
Efthymis Papadopoulos
Ioannis Politis
Socrates Basbas
author_sort Anastasia Nikolaidou
collection DOAJ
description 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.
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spelling doaj.art-c3514676d9d5472185e0969fc248e73f2023-11-18T21:49:00ZengMDPI AGWorld Electric Vehicle Journal2032-66532023-07-0114718610.3390/wevj14070186An Indicator-Based Methodological Framework for Assessing an eMaaS SchemeAnastasia Nikolaidou0Efthymis Papadopoulos1Ioannis Politis2Socrates Basbas3Transport Engineering Laboratory, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceTransport Engineering Laboratory, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceTransport Engineering Laboratory, Department of Civil Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceDepartment of Transportation & Hydraulic Engineering, School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceMobility 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.https://www.mdpi.com/2032-6653/14/7/186Mobility as a Service (MaaS)electric Mobility as a Service (eMaaS)electromobilityshared use mobilityKey Performance Indicators (KPIs)assessment framework
spellingShingle Anastasia Nikolaidou
Efthymis Papadopoulos
Ioannis Politis
Socrates Basbas
An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme
World Electric Vehicle Journal
Mobility as a Service (MaaS)
electric Mobility as a Service (eMaaS)
electromobility
shared use mobility
Key Performance Indicators (KPIs)
assessment framework
title An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme
title_full An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme
title_fullStr An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme
title_full_unstemmed An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme
title_short An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme
title_sort indicator based methodological framework for assessing an emaas scheme
topic Mobility as a Service (MaaS)
electric Mobility as a Service (eMaaS)
electromobility
shared use mobility
Key Performance Indicators (KPIs)
assessment framework
url https://www.mdpi.com/2032-6653/14/7/186
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