Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/70910

Stochastic Multicriteria Acceptability Analysis of EV Sharing in Nordic Rural Areas Affected by Seasonal Residence and Counterurbanization

File Size Format  
0238.pdf 482.33 kB Adobe PDF View/Open

Item Summary

Title:Stochastic Multicriteria Acceptability Analysis of EV Sharing in Nordic Rural Areas Affected by Seasonal Residence and Counterurbanization
Authors:Einolander, Johannes
Kiviaho, Annamari
Keywords:Sharing Economy in Rural Areas
ev sharing
multicriteria decision analysis
rural areas
seasonal residence
show 1 morestochastic multicriteria acceptability analysis
show less
Date Issued:05 Jan 2021
Abstract:Sharing economy and shared mobility has become a widespread trend in urban areas worldwide. Due to lower population density, car sharing, and other shared mobility applications are generally not accessible in rural areas. This paper utilizes a Stochastic Multicriteria Acceptability Analysis (SMAA) method to assess the criteria importance in siting problem of rural electric vehicle (EV) sharing systems. Nordic rural areas are used as a case study in this analysis, and we compare their feasibility to act as a pilot location for EV sharing. Seasonal residence, rural tourism and counterurbanization are common themes in Nordic rural areas and act as enablers for rural vehicle sharing. Based on our novel application of SMAA to this context, we found that Swedish rural areas would be most suitable for a rural EV sharing pilot. High tourism and low vehicle ownership were identified to be the most important criteria for this siting problem.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/70910
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.297
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Sharing Economy in Rural Areas


Please email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.

This item is licensed under a Creative Commons License Creative Commons