Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

New Micromobility Means of Transport

An Analysis of E-Scooter Users’ Behaviour in Trondheim

Bibliographic Data

ID15508776
AuthorsMargherita Pazzini (0000-0002-1464-8479, University of Bologna, corresponding author), Leonardo Cameli (0000-0002-3420-1244, University of Bologna), Claudio Lantieri (0000-0003-2852-567X, University of Bologna), Valeria Vignali (0000-0003-2143-9488, University of Bologna), Giulio Dondi (0000-0001-5587-9436, University of Bologna), Thomas Jønsson (0000-0002-9161-4459, Norwegian University of Science and Technology, corresponding author)
Year2022
Volume19
Issue12
Pages7374-7374
Publication date2022-06-16
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19127374
PMID35742623
OpenAlexW4282972259
LanguageEN
Citations received5
References cited22

Negative effects of a massive use of cars, such as congestion, air pollution, noise, and traffic injuries, are affecting the cities everywhere. Recently introduced shared vehicles, such as e-scooters and electric bicycles, could potentially accelerate the transition towards sustainable mobility. Although these vehicles are becoming increasingly common and accepted within regulatory frameworks, some local governments are not yet ready to integrate e-scooters into their transport systems. Indeed, the legislation is unclear as it is not easy to determine whether the e-scooter is more like a bicycle or a vehicle. Moreover, it is difficult to predict the impact of e-scooters on road traffic, as well as the type of road infrastructure chosen by e-scooter drivers or the possible interaction of such vehicles with weak road users, such as pedestrians or cyclists. This study showed an analysis of speed and behaviour of e-scooter drivers in the city of Trondheim (Norway) to investigate how to manage this mode of transport. A total of 204 e-scooters were observed on six different roads in the city centre. The speed of e-scooter drivers was measured by a speed tracker (average value 15.4 km/h) and their behaviour recorded by a hidden observer in the field. Gender, age, distance from pedestrians, speed adaptation to the environment, and type of vehicle used were registered for each e-scooter. Through a Binomial Logit analysis, the data obtained were used to analyse the type of road infrastructure preferred by e-scooter drivers. Results showed that the cycle path is more widely used with percentage value from 60% to 90% of users. In addition, the probability of choice depended mainly on the road environment. The aim of this analysis was to assist local authorities in regulating the safe use of e-scooters and developing appropriate policies for their integration into cities

Geography · Pedestrian · Sustainability · Sustainable transport · Traffic congestion · Train · Transport engineering · Engineering · Transportation and Mobility Innovations · Transportation Planning and Optimization · Urban Transport and Accessibility

  • Navigating Urban Mobility

    Open Access•Rukiye Gizem Öztaş Karli, Rukiye Gizem Öztaş Karlı et al.•SAGE Open•2026

  • Exploring the recreational micromobility in relation to historic urban areas and social media

    Open Access•Hao Huang, Haochen Shi et al.•Landscape and Urban Planning•2025

  • Assessing the evolution of Public Transportation demand over time based on real data through survival analysis in Bologna, Italy

    Open Access•Alessandro Nalin, Claudio Lantieri et al.•Transportation•2024

  • Revealing Spatial Patterns of Dockless Shared Micromobility

    Open Access•Štefan Gábor, Ladislav Novotný et al.•Urban Science•2025

  • Embracing Urban Micromobility

    Open Access•Mostafa Jafarzadehfadaki, Virginia P Sisiopiku•Urban Science•2024

  • Spatiotemporal comparative analysis of scooter-share and bike-share usage patterns in Washington, D.C

    Open Access•Gemma Mckenzie•Journal of Transport Geography•2019

Citations per year2.5
Citation span2024 - 2026 (3)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae