Analysis of attitudes and engagement of shared e-scooter users

Nikiforiadis, Andreas; Paschalidis, Evangelos; Stamatiadis, Nikiforos; Raptopoulou, Alexandra; Kostareli, Athanasia; Basbas, Socrates

doi:10.1016/j.trd.2021.102790

Cited by 146 publications

(91 citation statements)

References 39 publications

(42 reference statements)

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“…When it comes to e-scooter user characteristics, as well as the travel patterns of these users, it was found that they largely coincide with the already established general characteristics. For example, a study in Greece showed that females were less keen on using e-scooters than males [68]. A study in Portland [15] also found that men used e-scooters more than women for work trips (22% of males, compared to 15% of females), which coincides with the results presented in this paper.…”

Section: Discussionsupporting

confidence: 89%

The E-Scooter Potential to Change Urban Mobility—Belgrade Case Study

et al. 2021

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As we witness a global change occurring with the advent of e-scooters (electric scooters), it is clear that adequate measures need to be taken for the implementation of this means of transport. Bearing in mind that the user should be the focus of the proposed measures, the aim of this paper encompasses the analysis of e-scooter users’ travel patterns, as well as standard scooter users’ willingness to switch to e-scooters for different hypothetical scenarios, and the determination of factors that have an influence on the users’ willingness to switch. The scenarios include the availability of various infrastructure capacities for the city of Belgrade, namely, a separate infrastructure for e-scooters, or sharing the existing infrastructure with cyclists, pedestrians and motor vehicles. Standard methods of descriptive statistics, the McNemar–Bowker test of paired samples, and multinomial logistic regression were used in this paper. The results showed that there was a statistically significant difference in users’ willingness to use an e-scooter, depending on the available infrastructure. The results of multinomial logistic regression showed that the mode of transport used before and during the COVID-19 pandemic, as well as the average distance traveled, had a statistically significant impact on the users’ willingness to switch to e-scooters if they were allowed to use the cycling infrastructure. This paper also identifies additional factors that have a positive (environmental benefits, congestion avoidance) and negative (safety issues, lack of infrastructure, etc.) impact on users’ willingness to switch, which can be of use to decision-makers as a basic guideline for the adequate implementation of e-scooters in transport systems.

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Section: Discussionsupporting

confidence: 89%

The E-Scooter Potential to Change Urban Mobility—Belgrade Case Study

et al. 2021

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“…The aforementioned mobility issues are depicted in the modal share, which favors private cars (41.3%), while the percentages of walking and cycling are too low (9.2% and 1.7% respectively) (Thessaloniki SUMP 2019). A relatively new trend in Thessaloniki is the shared e-scooter systems, which have managed to attract a reasonable amount of travelers, mainly males, young adults and people living close to the city center (Nikiforiadis et al 2021).…”

Section: Study Areamentioning

confidence: 99%

Pedestrians’ Crossing Dilemma during the First Seconds of the Red-Light Phase

2021

Self Cite

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Most safety concerns for pedestrian trips arise during road crossing, due to the interaction of pedestrians with motorized vehicles. This present paper attempts to explore the factors that have significant impact on pedestrians’ crossing behavior, and to identify the group of pedestrians that appear to be the most prone to crossing a road during the first five seconds of the red phase. In this context, observations were conducted in twelve signalized crossings in one-way roads, in the city of Thessaloniki, Greece. The collected data (600 observations of crossing pedestrians) were analyzed statistically; more specifically, the observations were analyzed through descriptive statistics, and a classification tree was developed for predicting pedestrians’ decisions. The results indicate that pedestrians’ crossing behavior is most of all affected by the behavior of other pedestrians in the signalized crossing. Also, the number of traffic lanes has an impact on pedestrians’ decision to cross the road during the first five seconds of the red-light phase.

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“…Early deployments of e-scooters often occurred without consultation with municipalities or, in some cases, as pilot deployments in collaboration with municipalities (e.g., Austin, TX and Portland, OR USA) [ 1 , 2 ]. Many of these municipalities had to rapidly develop policies governing e-scooter use that balanced a variety of concerns from the public with a rapidly growing e-scooter user base, the potential for e-scooters to provide last mile transportation in a sustainable mobility system, and the potential for e-scooters to increase access to transportation in underserved areas [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Nighttime Rental Restrictions on E-Scooter Injuries at a Large Urban Tertiary Care Center

Anderson

Rupp

Moran

et al. 2021

IJERPH

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Safety policy for e-scooters in the United States tends to vary by municipality, and the effects of safety interventions have not been well studied. We reviewed medical records at a large, urban tertiary care and trauma center in Atlanta, Georgia with the goal of identifying trends in e-scooter injury and the effects of Atlanta’s nighttime ban on e-scooter rentals on injuries treated in the emergency department (ED). Records from all ED visits occurring between June 2018 through August 2020 were reviewed. To account for ambiguity in medical records, confidence levels of either “certain” or “possible” were assigned using a set of predefined criteria to categorize patient injuries as being associated with an e-scooter. A total of 380 patients categorized as having certain e-scooter related injuries were identified. The average age of these patients was 31 years old, 65% were male, 41% had head injuries, 20% of injuries were associated with the built environment, and approximately 20% were admitted to the hospital. Approximately 19% of patients with injuries associated with e-scooters noted to be clinically intoxicated or have a serum ethanol level exceeding 80 mg/dL. The implementation of a nighttime rental ban on e-scooter rentals reduced the proportion of patients with e-scooter injuries with times of arrival during the hours of the ban from 32% to 22%, however this effect was not significant (p = 0.16). More research is needed to understand how e-scooter use patterns are affected by the nighttime rental ban.

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Analysis of attitudes and engagement of shared e-scooter users

Cited by 146 publications

References 39 publications

The E-Scooter Potential to Change Urban Mobility—Belgrade Case Study

The E-Scooter Potential to Change Urban Mobility—Belgrade Case Study

Pedestrians’ Crossing Dilemma during the First Seconds of the Red-Light Phase

The Effect of Nighttime Rental Restrictions on E-Scooter Injuries at a Large Urban Tertiary Care Center

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