Selecting E-Mobility Transport Solutions for Mountain Rescue Operations

This study introduces e-mobility for humanitarian purposes and presents the first investigation of innovative e-mobility transport solutions (e.g., e-bike, e-stretcher, and drone) for mountain rescue. In practice, it is largely unclear which e-mobility transport solutions might be suitable and what...

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Main Authors: Christian Wankmüller, Maximilian Kunovjanek, Robert Gennaro Sposato, Gerald Reiner
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/24/6613
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spelling doaj-5c0371a068784d1eb8f27ea3505a26c12020-12-16T00:01:26ZengMDPI AGEnergies1996-10732020-12-01136613661310.3390/en13246613Selecting E-Mobility Transport Solutions for Mountain Rescue OperationsChristian Wankmüller0Maximilian Kunovjanek1Robert Gennaro Sposato2Gerald Reiner3Department of Operations, Energy, and Environmental Management, Universitaet Klagenfurt, 9020 Klagenfurt, AustriaDepartment of Operations, Energy, and Environmental Management, Universitaet Klagenfurt, 9020 Klagenfurt, AustriaDepartment of Operations, Energy, and Environmental Management, Universitaet Klagenfurt, 9020 Klagenfurt, AustriaInstitute for Production Management, Vienna University of Economics and Business, 1020 Vienna, AustriaThis study introduces e-mobility for humanitarian purposes and presents the first investigation of innovative e-mobility transport solutions (e.g., e-bike, e-stretcher, and drone) for mountain rescue. In practice, it is largely unclear which e-mobility transport solutions might be suitable and what selection attributes are to be considered. The subsequent study supports the technology selection process by identifying and measuring relevant selection attributes to facilitate the adoption of e-mobility in this domain. For the purpose of this study, a multi-method research approach that combines qualitative and quantitative elements was applied. In the first step, results of a systematic search for attributes in literature were combined with inputs gained from unstructured expert interviews and discussions. The perceived importance of the identified selection attributes was then measured by analyzing survey data of 341 rescue workers using the best-worst scaling methodology. Finally, the results were reiterated in another expert discussion to assess their overall validity. Study results indicate that e-mobility transport solutions need to primarily enhance operational performance and support the safety of mountain rescue personnel. Surprisingly, economic and sustainability aspects are less of an issue in the process of technology selection.https://www.mdpi.com/1996-1073/13/24/6613e-mobilitymountain rescue operationsemergency responsemulti-method-researchbest–worst scaling
collection DOAJ
language English
format Article
sources DOAJ
author Christian Wankmüller
Maximilian Kunovjanek
Robert Gennaro Sposato
Gerald Reiner
spellingShingle Christian Wankmüller
Maximilian Kunovjanek
Robert Gennaro Sposato
Gerald Reiner
Selecting E-Mobility Transport Solutions for Mountain Rescue Operations
Energies
e-mobility
mountain rescue operations
emergency response
multi-method-research
best–worst scaling
author_facet Christian Wankmüller
Maximilian Kunovjanek
Robert Gennaro Sposato
Gerald Reiner
author_sort Christian Wankmüller
title Selecting E-Mobility Transport Solutions for Mountain Rescue Operations
title_short Selecting E-Mobility Transport Solutions for Mountain Rescue Operations
title_full Selecting E-Mobility Transport Solutions for Mountain Rescue Operations
title_fullStr Selecting E-Mobility Transport Solutions for Mountain Rescue Operations
title_full_unstemmed Selecting E-Mobility Transport Solutions for Mountain Rescue Operations
title_sort selecting e-mobility transport solutions for mountain rescue operations
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-12-01
description This study introduces e-mobility for humanitarian purposes and presents the first investigation of innovative e-mobility transport solutions (e.g., e-bike, e-stretcher, and drone) for mountain rescue. In practice, it is largely unclear which e-mobility transport solutions might be suitable and what selection attributes are to be considered. The subsequent study supports the technology selection process by identifying and measuring relevant selection attributes to facilitate the adoption of e-mobility in this domain. For the purpose of this study, a multi-method research approach that combines qualitative and quantitative elements was applied. In the first step, results of a systematic search for attributes in literature were combined with inputs gained from unstructured expert interviews and discussions. The perceived importance of the identified selection attributes was then measured by analyzing survey data of 341 rescue workers using the best-worst scaling methodology. Finally, the results were reiterated in another expert discussion to assess their overall validity. Study results indicate that e-mobility transport solutions need to primarily enhance operational performance and support the safety of mountain rescue personnel. Surprisingly, economic and sustainability aspects are less of an issue in the process of technology selection.
topic e-mobility
mountain rescue operations
emergency response
multi-method-research
best–worst scaling
url https://www.mdpi.com/1996-1073/13/24/6613
work_keys_str_mv AT christianwankmuller selectingemobilitytransportsolutionsformountainrescueoperations
AT maximiliankunovjanek selectingemobilitytransportsolutionsformountainrescueoperations
AT robertgennarosposato selectingemobilitytransportsolutionsformountainrescueoperations
AT geraldreiner selectingemobilitytransportsolutionsformountainrescueoperations
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