Selecting e-mobility transport solutions for mountain rescue operations

Christian Wankmüller*, Maximilian Kunovjanek, Robert Gennaro Sposato, Gerald Reiner

*Corresponding author for this work

Publication: Scientific journalJournal articlepeer-review

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Abstract

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.

Original languageEnglish
Article number6613
JournalEnergies
Volume13
Issue number24
DOIs
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102009 Computer simulation
  • 502052 Business administration
  • 502012 Industrial management
  • 211
  • 502017 Logistics
  • 502032 Quality management

Keywords

  • Best-worst scaling
  • E-mobility
  • Emergency response
  • Mountain rescue operations
  • Multi-method-research

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