Safety Analysis for Micromobility: Recommendations on Risk Metrics and Data Collection

Karpinski, Elizabeth; Bayles, Ellie; Sanders, Tracy

doi:10.1177/03611981221095523

Cited by 8 publications

(4 citation statements)

References 38 publications

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“…It is estimated that VRUs account for more than half of all road fatalities globally [1]. Moreover, the noteworthy increase in the use of new micromobility transport modes such as e-scooters in many cities around the globe has raised particular concerns for the safety of these emerging types of VRUs [91]. Therefore, more research is needed on the manner in which various SSMs could be exploited to enhance the safety of VRUs.…”

Section: Future Research Directionsmentioning

confidence: 99%

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

2023

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Historical road crash data are the main indicator for measuring road safety outcomes. Over the past few decades, significant efforts have been made in obtaining and exploiting Surrogate Safety Measures (SSMs). SSMs have the potential to provide excellent sustainable road safety indicators and proxy measurements which can complement traditional historical crash analyses or even substitute them. By using SSMs, crash data collection demands can be bypassed and areas can be investigated before crashes occur. Due to such advantages, the objective of the present research is to provide a review of the scientific literature regarding studies exploiting SSMs for historical crash record investigations. Specifically, 34 studies were examined, providing insights on the different types of SSMs collected under real road environment conditions, the way they are collected, their connection with specific road crash types, and the type of the developed statistical models are examined and discussed. Particular focus is also placed on the temporal dimension of the collection period of both SSMs and road crashes. Finally, the overall trends deriving from the reviewed studies are summarized and future research directions are provided.

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Section: Future Research Directionsmentioning

confidence: 99%

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

2023

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“…As a result, traveling through a city on an e-scooter can be unpleasant and dangerous at times, limiting the safe and sustainable adoption of these devices. Moreover, the nature of the device leaves e-scooter users physically unprotected, as there is no crumple zone, meaning that users are likely to suffer serious injuries if a crash occurs with a vehicle [17]. Similarly, the lack of infrastructure for e-scooters also leads to potential conflicts with pedestrians, as e-scooter users often weave between the sidewalk and shoulder of the road [18,19].…”

Section: Infrastructurementioning

confidence: 99%

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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“…The lack of consistency in the law has already led to differing road rules for powered micro-vehicles in different jurisdictions [58]. Existing road safety measures were primarily designed to evaluate motor vehicle crashes and must be better suited for alternate or emerging modes of micromobility transportation, particularly e-scooters [62].…”

Section: Micromobility Safety Issuesmentioning

confidence: 99%

Data-Driven Approach for Urban Micromobility Enhancement through Safety Mapping and Intelligent Route Planning

Tamagusko,

Gomes Correia,

Rita

et al. 2023

Smart Cities

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Micromobility responds to urban transport challenges by reducing emissions, mitigating traffic, and improving accessibility. Nevertheless, the safety of micromobility users, particularly cyclists, remains a concern in urban environments. This study aims to construct a safety map and a risk-averse routing system for micromobility users in diverse urban environments, as exemplified by a case study in Lisbon. A data-driven methodology uses object detection algorithms and image segmentation techniques to identify potential risk factors on cycling routes from Google Street View images. The ‘Bikeable’ Multilayer Perceptron neural network measures these risks, assigning safety scores to each image. The method analyzed 5321 points across 24 parishes in Lisbon, with an average safety score of 4.5, indicating a generally safe environment for cyclists. Carnide emerged as the safest area, while Alcântara exhibited a higher level of potential risks. Additionally, an equation is proposed to compute route efficiency, enabling comparisons between different routes for identical origin-destination pairs. Preliminary findings suggest that the presented routing solution exhibits higher efficiency than the commercial routing benchmark. Risk-averse routes did not result in a substantial rise in travel distance or time, with increments of 7% on average. The study also contributed to increasing the existing amount of cycle path data in Lisbon by 12%, correcting inaccuracies, and updating the network in OpenStreetMap, providing access to more precise information and, consequently, more routes. The key contributions of this study, such as the safety map and risk-averse router, underscore the potential of data-driven tools for boosting urban micromobility. The solutions proposed demonstrate modularity and adaptability, making them fit for a range of urban scenarios and highlighting their value for cities prioritizing safe, sustainable urban mobility.

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Safety Analysis for Micromobility: Recommendations on Risk Metrics and Data Collection

Cited by 8 publications

References 38 publications

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

A Review of Surrogate Safety Measures Uses in Historical Crash Investigations

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

Data-Driven Approach for Urban Micromobility Enhancement through Safety Mapping and Intelligent Route Planning

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