Evidence map›Paper›PMID 35742623›Full record

ArticleInternational journal of environmental research and public health2022

New Micromobility Means of Transport: An Analysis of E-Scooter Users' Behaviour in Trondheim.

Margherita Pazzini, Leonardo Cameli, Claudio Lantieri, Valeria Vignali, Giulio Dondi, Thomas Jonsson

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
18.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 76 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Margherita PazziniDepartment of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy.ORCID 0000-0002-1464-8479
Leonardo CameliDepartment of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy.ORCID 0000-0002-3420-1244
Claudio LantieriDepartment of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy.ORCID 0000-0003-2852-567X
Valeria VignaliDepartment of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy.ORCID 0000-0003-2143-9488
Giulio DondiDepartment of Civil, Chemical, Environmental and Materials Engineering (DICAM), University of Bologna, Viale Risorgimento, 2, 40136 Bologna, Italy.
Thomas JonssonDepartment of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), Høgskoleringen 7A, Gløshaugen, NO-7491 Trondheim, Norway.
University of Bologna · ITNorwegian University of Science and Technology · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Accidents, TrafficPedestriansCitiesHumansNoiseProbabilitye-scooterpath choicespeed analysisvulnerable road users behaviour

Identifiers

PMID35742623
PMCPMC9223420
OpenAlexW4282972259

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.