FUCOM-Kendall Model for Evaluating E-Scooter Adoption : A Case Study in Catania, Italy
(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.
(Less)
- author
- Torrisi, Vincenza ; Camporeale, Rosalia LU ; Moslem, Sarbast and Campisi, Tiziana
- organization
- publishing date
- 2025
- 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
- 2025-10-14 12:11:23
@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}},
}