Selecting E-Mobility Transport Solutions for Mountain Rescue Operations

Wankmüller, Christian and Kunovjanek, Maximilian and Sposato, Robert Gennaro and Reiner, Gerald ORCID: (2020) Selecting E-Mobility Transport Solutions for Mountain Rescue Operations. Energies, 13 (24). pp. 6613-6632. ISSN 1996-1073

Available under License Creative Commons: Attribution 4.0 International (CC BY 4.0).

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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.

Item Type: Article
Keywords: e-mobility; mountain rescue operations; emergency response; multi-method-research; best–worst scaling
Divisions: Departments > Wirtschaftsinformatik u. Operations Mgmt > Produktionsmanagement
Departments > Wirtschaftsinformatik u. Operations Mgmt > Produktionsmanagement > Reiner
Forschungsinstitute > Supply Chain Management
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 08 Jan 2021 12:38
Last Modified: 08 Jan 2021 12:38
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