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Open AccessJournal ArticleDOI

Selecting E-Mobility Transport Solutions for Mountain Rescue Operations

TLDR
Study results indicate that e-mobility transport solutions need to primarily enhance operational performance and support the safety of mountain rescue personnel and economic and sustainability aspects are less of an issue in the process of technology selection.
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.

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Citations
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An introduction to the application of (case 1) best–worst scaling in marketing research

TL;DR: It is demonstrated how to use BWS to measure subjective quantities in two different empirical examples, which measures preferences for weekend getaways and requires comparing relatively few objects.

Understanding Potential for Battery Electric Vehicle Adoption Using Large-Scale Consumer Profile Data

TL;DR: In this paper, the authors developed a data mining approach to identify potential buyers using revealed-preference data and applied the approach to a nationally representative survey of 88,404 new car buyers that includes respondents' geographic, demographic and psychographic characteristics.
Journal ArticleDOI

Drones in emergency response – evidence from cross-border, multi-disciplinary usability tests

TL;DR: The empirical insights derived from the usability tests demonstrate the capabilities of drones to reduce operational risks in rescue missions, thereby increasing the safety and performance of response teams, and represents a novel technique for emergency-related geographic surveying.
Journal ArticleDOI

Compromise Multi-Criteria Selection of E-Scooters for the Vehicle Sharing System in Poland

Paweł Ziemba, +1 more
- 11 Jul 2022 - 
TL;DR: In this paper , the authors analyzed selected e-scooters available on the Polish market and identified the most useful vehicles from two opposing perspectives, i.e., the potential customer and owner of the vehicle sharing system.
References
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Journal ArticleDOI

A law of comparative judgment

TL;DR: The law of comparative judgment as mentioned in this paper is applicable not only to the comparison of physical stimulus intensities but also to qualitative comparative judgments such as those of excellence of specimens in an educational scale.
Book

Systematic Reviews in the Social Sciences: A Practical Guide

TL;DR: Systematic review methods have been widely used in health care, and are becoming increasingly common in the social sciences (fostered by the work of the Campbell Collaboration) as mentioned in this paper.
Journal ArticleDOI

Comparative Environmental Life Cycle Assessment of Conventional and Electric Vehicles

TL;DR: In this paper, the authors developed and provided a transparent life cycle inventory of conventional and electric vehicles and applied their inventory to assess conventional and EVs over a range of impact categories, including human toxicity, freshwater eco-toxicity, freshwater eutrophication, and metal depletion impacts, largely emanating from the vehicle supply chain.
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The influence of financial incentives and other socio-economic factors on electric vehicle adoption

TL;DR: In this paper, the authors examined the relationship between financial incentives, charging infrastructure, and local presence of production facilities to determine the relationship of one such policy instrument (consumer financial incentives) to electric vehicle adoption.
Journal ArticleDOI

Determining the Appropriate Response to Evidence of Public Concern: The Case of Food Safety:

TL;DR: With social issues again close to the top of the research agenda for marketers, policy makers are increasingly likely to be presented public opinion research findings that suggest the public is verifiable as discussed by the authors.
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