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FUCOM-Kendall Model for Evaluating E-Scooter Adoption : A Case Study in Catania, Italy

Torrisi, Vincenza ; Camporeale, Rosalia LU ; Moslem, Sarbast and Campisi, Tiziana (2025) 26th EURO Working Group on Transportation, EWGT 2024 86. p.1-8
Abstract

Electric scooters (e-scooters) have emerged as a fundamental component of urban micro-mobility, particularly in European cities during the Covid-19 pandemic. This study employs the Full Consistency Method (FUCOM) and Kendall rank correlation method to assess the preferences and priorities of university students in Catania, Italy, regarding e-scooter adoption. By analyzing influencing factors, this research offers a comprehensive understanding of student attitudes towards e-scooters and their adoption, contributing to strategies for enhancing sustainable urban mobility. The findings highlight significant preferences for factors such as parking ease, portability, and intermodality, while also identifying safety concerns and the need for... (More)

Electric scooters (e-scooters) have emerged as a fundamental component of urban micro-mobility, particularly in European cities during the Covid-19 pandemic. This study employs the Full Consistency Method (FUCOM) and Kendall rank correlation method to assess the preferences and priorities of university students in Catania, Italy, regarding e-scooter adoption. By analyzing influencing factors, this research offers a comprehensive understanding of student attitudes towards e-scooters and their adoption, contributing to strategies for enhancing sustainable urban mobility. The findings highlight significant preferences for factors such as parking ease, portability, and intermodality, while also identifying safety concerns and the need for better integration with public transport. These insights underscore the necessity for targeted improvements in e-scooter infrastructure and policies, aiming to optimize urban mobility and meet the specific needs of potential users. Further research will focus on comparative analysis across different urban settings, investigating addition user-centric factors to capture a more comprehensive view of e-scooter adoption.

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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
e-scooter, FUCOM method, Kendall rank correlation, multi-criteria decision making, urban mobility
host publication
Transportation Research Procedia
volume
86
pages
8 pages
conference name
26th EURO Working Group on Transportation, EWGT 2024
conference location
Lund, Sweden
conference dates
2024-09-04 - 2024-09-06
external identifiers
  • scopus:105007096983
DOI
10.1016/j.trpro.2025.04.001
language
English
LU publication?
yes
id
502128b5-0105-4f2c-a141-affa95bcc409
date added to LUP
2025-09-19 12:59:01
date last changed
2025-10-03 14:57:28
@inproceedings{502128b5-0105-4f2c-a141-affa95bcc409,
  abstract     = {{<p>Electric scooters (e-scooters) have emerged as a fundamental component of urban micro-mobility, particularly in European cities during the Covid-19 pandemic. This study employs the Full Consistency Method (FUCOM) and Kendall rank correlation method to assess the preferences and priorities of university students in Catania, Italy, regarding e-scooter adoption. By analyzing influencing factors, this research offers a comprehensive understanding of student attitudes towards e-scooters and their adoption, contributing to strategies for enhancing sustainable urban mobility. The findings highlight significant preferences for factors such as parking ease, portability, and intermodality, while also identifying safety concerns and the need for better integration with public transport. These insights underscore the necessity for targeted improvements in e-scooter infrastructure and policies, aiming to optimize urban mobility and meet the specific needs of potential users. Further research will focus on comparative analysis across different urban settings, investigating addition user-centric factors to capture a more comprehensive view of e-scooter adoption.</p>}},
  author       = {{Torrisi, Vincenza and Camporeale, Rosalia and Moslem, Sarbast and Campisi, Tiziana}},
  booktitle    = {{Transportation Research Procedia}},
  keywords     = {{e-scooter; FUCOM method; Kendall rank correlation; multi-criteria decision making; urban mobility}},
  language     = {{eng}},
  pages        = {{1--8}},
  title        = {{FUCOM-Kendall Model for Evaluating E-Scooter Adoption : A Case Study in Catania, Italy}},
  url          = {{http://dx.doi.org/10.1016/j.trpro.2025.04.001}},
  doi          = {{10.1016/j.trpro.2025.04.001}},
  volume       = {{86}},
  year         = {{2025}},
}