Identifying and Selecting Key Sustainable Parameters for the Monitoring of e-Powered Micro Personal Mobility Vehicles. Evidence from Italy

Elena Carrara, Rebecca Ciavarella, Stefania Boglietti, Martina Carra, Giulio Maternini and Benedetto Barabino
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Elena Carrara: Department of Civil, Environment, Land and Architecture Engineering and Mathematics (DICATAM), University of Brescia, Via Branze 43, 25123 Brescia, Italy
Rebecca Ciavarella: Department of Civil, Environment, Land and Architecture Engineering and Mathematics (DICATAM), University of Brescia, Via Branze 43, 25123 Brescia, Italy
Stefania Boglietti: Department of Civil, Environment, Land and Architecture Engineering and Mathematics (DICATAM), University of Brescia, Via Branze 43, 25123 Brescia, Italy
Martina Carra: Department of Civil, Environment, Land and Architecture Engineering and Mathematics (DICATAM), University of Brescia, Via Branze 43, 25123 Brescia, Italy
Giulio Maternini: Department of Civil, Environment, Land and Architecture Engineering and Mathematics (DICATAM), University of Brescia, Via Branze 43, 25123 Brescia, Italy
Benedetto Barabino: Department of Civil, Environment, Land and Architecture Engineering and Mathematics (DICATAM), University of Brescia, Via Branze 43, 25123 Brescia, Italy

Sustainability, 2021, vol. 13, issue 16, 1-22

Abstract: The recent invasion of electric-powered personal mobility vehicles (e-PMVs) in many cities worldwide has disputed the transport sector and captured the attention of academics, practitioners, and public administrators. Indeed, these vehicles are believed to be sustainable transport alternatives. Therefore, understanding how to evaluate and monitor the related performance is crucial and may be addressed by suitable key sustainable parameters (KSPs) to inform on the excellences and criticalities of e-PMVs. Previous research has focused largely on “how to measure and manage” KSPs rather than “what to measure”. Conversely, as far as the authors know, no study investigated objective methods for identifying and selecting top KSPs. This paper covers this gap by proposing a cohesive approach, which identifies a long list of KSPs, defines their properties, involves experts to elicit judgments for each KSP, evaluates the long list, and returns the most promising set. This approach is demonstrated with an application based on an Italian survey. A circumscribed and relevant set of six overlapping KSPs is derived by merging two different approaches. These results may support the opportunity to assess the performance of e-PMVs among cities according to a common set of KSPs.

Keywords: micromobility; personal mobility vehicle; sustainability assessment; analytic hierarchy process; sustainable micromobility parameters (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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