Characteristics and Risk Factors for Electric Scooter-Related Crashes and Injury Crashes among Scooter Riders: A Two-Phase Survey Study

Tian, Disi; Ryan, Andrew D.; Craig, Curtis M.; Sievert, Kelsey; Morris, Nichole L.

doi:10.3390/ijerph191610129

Cited by 24 publications

(9 citation statements)

References 44 publications

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“…For example in Paris (France), Gioldasis et al (2021, p. 11) argues -without considering helmet use -that "male e-scooter riders are more likely to get engaged in risky behavior such as to drive after having consumed alcohol, after having consumed drugs, and to drive the e-scooter while using the smartphone". On the other hand, a survey of 210 e-scooter users in the US revealed that females are more likely to commit risky behaviors such as riding on a sidewalk (Tian et al, 2022). Our results are consistent with research that identi es no difference between male and female risky behavior (e.g., the speed of male e-scooter users was comparable to that of female users in Trondheim, Norway, Pazzini et al, 2022).…”

Section: Discussionsupporting

confidence: 88%

Crashes Involving Electric Personal Mobility Devices (ePMD) Reported by the French Police: Types of Crashes, Users Involved, Injuries and Explanatory Factors

Laverdet

Pala

Meyer

et al. 2023

Preprint

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The growth of mobility via Electric Personal Mobility Devices (ePMD) has been associated with an increased number of crashes. The French police were asked to report crashes resulting in injury or death in a post-crash survey. We have retrieved the databases of crashes reported by the French police in 2019, 2020 and 2021. This article reports on the contribution of the various categories of vehicles to the crashes recorded in France, and the parameters of ePMD crashes in France: types of crashes, periods, contexts and departments involved; age, gender, protective equipment, injuries of the users concerned by these ePMD crashes, etc. Compared to 2019, ePMD was the main category of users with an increasing number of crashes in 2020 and in 2021. Nearly three quarters of all ePMD crashes were a collision with a car, ePMD users crashed alone in 14% of cases, or hit a pedestrian (9.2%). ePMD users involved in crashes without helmets were younger on average than those wearing helmets. Males and females wore helmets with a similar frequency. When they collided with another user, ePMDs usually injured vulnerable road users such as pedestrians. When they collided with a vehicle not driven by a vulnerable user (protected by their vehicle body), ePMD users were more likely to be injured than the non-vulnerable user. The contexts of ePMD crashes, differences between crash types and user categories are discussed. Finally, results provide guidance for public policy and prevention campaigns (e.g., geographical areas that should be targeted).

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Section: Discussionsupporting

confidence: 88%

Crashes Involving Electric Personal Mobility Devices (ePMD) Reported by the French Police: Types of Crashes, Users Involved, Injuries and Explanatory Factors

Laverdet

Pala

Meyer

et al. 2023

Preprint

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“…Traveling outside the bike path seems very dangerous, as also stated in other studies [28,52]. Strengthening and enhancing the visibility of bike path signage can effectively guide and inform both cyclists and other road users about the dedicated cycling infrastructure.…”

Section: Discussionmentioning

confidence: 69%

“…As for the right of way, some other countermeasures can be thought of, with the aim of improving as much as possible the already high safety conditions of e-scooters on bike lanes. Traveling outside the bike path seems very dangerous, as also stated in other studies [28,52]. Strengthening and enhancing the visibility of bike path signage can effectively guide and inform both cyclists and other road users about the dedicated cycling infrastructure.…”

Section: Discussionmentioning

confidence: 69%

Analysis of E-Scooter Crashes in the City of Bari

Longo,

Berloco,

Coropulis

et al. 2024

Infrastructures

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The remarkable impact that e-scooters have had on the transportation system drives research on this phenomenon. The widespread use of e-scooters also poses several new safety issues, which should be necessarily studied. The aim of this paper points in this direction, investigating the main contributing factors, causes, and patterns of recorded e-scooter crashes, considering also different crash types and severity, using the City of Bari (Italy) as a case study. The crash dataset based on police reports and referring to the period July 2020–November 2022 (i.e., the first period of e-scooter implementation in the City of Bari) was investigated. Crashes were clustered according to several variables. No fatal crashes occurred, even though crashes mostly resulted in injuries (70%). Considering road type, divided roads were found to be less safe than undivided ones, due to higher mean speeds than on other roads and to a less constrained e-scooter driving behavior. Calm (off-peak) daytime hours seem to lead to more frequent e-scooter crashes with respect to both peak and nighttime hours, even if the latter hours are associated with an increased severity. Once controlled for exposure, season, lighting conditions, and the private/sharing ratio do not seem influential. E-scooters are more prone to be involved in single-vehicle and pedestrian crashes at segments than other vehicles, but they show similar crash trends than other vehicles (i.e., angle crashes) at intersections. As emerged from traffic surveys, not all e-scooter users were found to use cycle paths. Combining this information with crash data, it seems that not using cycle paths is considerably less safe than using them. Besides engineering measures and policies, awareness campaigns should be promoted to elicit safe users’ behavior and to tackle the several violations and misbehaviors emerging from the crash data.

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“…For example, Gioldasis et al [28] analyzed data in Paris, France and found that male e-scooter riders were more likely to engage in risky behavior than female riders, including riding after drinking alcohol, using drugs and riding while using a mobile device. In contrast, a survey of 210 e-scooter users in the US found that females were more likely to engage in risky behaviors, such as riding on the sidewalk [31]. Meanwhile, a study in Norway reported no difference in risky behaviors between male and female riders when analyzing the speed of e-scooters [28].…”

Section: Trip Behaviormentioning

confidence: 94%

Shared Electric Scooter Users and Non-Users: Perceptions on Safety, Adoption and Risk

2023

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Shared electric scooters (e-scooters) offer a potential strategy to mitigate environmental concerns and congestion. However, successfully addressing these issues with e-scooters requires adoption across a diverse array of consumers. Understanding the differences between users and non-users can improve shared e-scooter appeal, operation and safety. The objective of this paper is to compare shared e-scooter users and non-users in terms of their perceptions on safety, trip behaviors, other shared modes, risk propensity and willingness to adopt technology. A survey was conducted involving 210 (51.3%) users and 199 (48.7%) non-users of shared e-scooters. Binary logistic regression and chi-squared tests were performed. The results reveal that users demonstrated a higher risk propensity and were more likely to be early adopters of new technologies. Non-users tended to place higher importance on helmet use, while users have an overall increased feeling of safety associated with riding e-scooters in vehicle lanes, on sidewalks and being passed by e-scooters as a pedestrian. Overall, users also have a more positive perception of e-scooter sanitary levels than non-users, and a more positive perception on the sanitary levels and usability of e-scooters over e-bicycles. These findings can provide guidance to urban planners, municipal authorities and micromobility providers in developing infrastructure and policies to better support micromobility adoption.

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Characteristics and Risk Factors for Electric Scooter-Related Crashes and Injury Crashes among Scooter Riders: A Two-Phase Survey Study

Cited by 24 publications

References 44 publications

Crashes Involving Electric Personal Mobility Devices (ePMD) Reported by the French Police: Types of Crashes, Users Involved, Injuries and Explanatory Factors

Crashes Involving Electric Personal Mobility Devices (ePMD) Reported by the French Police: Types of Crashes, Users Involved, Injuries and Explanatory Factors

Analysis of E-Scooter Crashes in the City of Bari

Shared Electric Scooter Users and Non-Users: Perceptions on Safety, Adoption and Risk

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