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.
Bibliographische NotizFunding Information:
Funding: This work was supported by the European Union Fund for regional development and Interreg V-A Italy Austria 2014–2020. The second author was employed within the Interreg project: Smart Test for Alpine Rescue Technology (SMART).
This work was supported by the European Union Fund for regional development and Interreg V-A Italy Austria 2014-2020. The second author was employed within the Interreg project: Smart Test for Alpine Rescue Technology (SMART).
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 102009 Computersimulation
- 502052 Betriebswirtschaftslehre
- 502012 Industriebetriebslehre
- 502017 Logistik
- 502032 Qualitätsmanagement