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 administrations. Indeed, these vehicles are believed to be sustainable transport modes. 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 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 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 6 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.

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

Carrara, Elena;Ciavarella, Rebecca;Boglietti, Stefania;Carra, Martina;Maternini, Giulio;Barabino, Benedetto
2021-01-01

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 administrations. Indeed, these vehicles are believed to be sustainable transport modes. 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 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 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 6 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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/546995
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