E-scooter and bike-share route choice and detours: Modelling the influence of built environment and sociodemographic factors

Cubells, Jerònia; Miralles‐Guasch, Carme; Marquet, Oriol

doi:10.1016/j.jtrangeo.2023.103664

Cited by 12 publications

(1 citation statement)

References 77 publications

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“…Safety perception is one of the most deterrent features in the choice of micromobility (Sanders et al, 2020;Bao and Lim, 2022). Cubells et al (2023) showed that e-micromobility route choices are impacted by urban elements related to safety, accessibility, and aesthetics, pointing out the importance of considering the surrounding environment to ensure user safety. In this regard, several studies confirmed that dedicated infrastructures (Greibe and Buch, 2016;Park and Abdel-Aty, 2016;Hossein Sabbaghian et al, 2023) that can be shared by both cyclists and e-scooter users, as well as pavement conditions (López-Molina et al, 2023;Mitropoulos et al, 2023) are key elements to micromobility safety perception and, consequently, to e-micromobility adoption.…”

Section: The State Of the Artmentioning

confidence: 99%

A mixed behavioural and data-driven method for assessing the shift potential to electric micromobility: evidence from Rome

Nigro,

Comi,

De Vincentis

et al. 2024

Front. Future Transp.

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Electric micromobility, both as a private option and as a shared service, can represent an alternative to cars, particularly for given user groups (market segments) and specific classes of travel distance. The paper explores the potential for shifting from cars to electric micromobility (specifically, e-bikes and e-scooters) for commuting trips, investigated through floating car data (FCD). The methodology combines the calibration of random utility models (RUMs) and the subsequent simulation through the adoption of FCD spanning the entire city of Rome (Italy). The data used for the calibration of RUM models have been sourced from an online revealed preferences and stated preferences survey carried out between November 2020 and January 2021. Socioeconomic factors, along with transport features (travel time, access time, monetary costs, and perceived safety levels), enter into the definition of the mode choice probability. The first results showed that in Rome, the potential demand for electric micromobility could range between 14% of the FCD sample in the best case (low cost, high accessibility, and road infrastructures with a high perceived level of safety) and about 2% in the worst case (high cost, low accessibility, and a low perceived level of safety).

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Section: The State Of the Artmentioning

confidence: 99%

A mixed behavioural and data-driven method for assessing the shift potential to electric micromobility: evidence from Rome

Nigro,

Comi,

De Vincentis

et al. 2024

Front. Future Transp.

View full text Add to dashboard Cite

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‘I mean, I wouldn't say I was sober’: Exploring the psychosocial impact of e‐scooter injuries and aligning a collaborative public health response

Piatkowski,

Moran,

Canty

et al. 2024

Health Prom J of Aust

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Issue AddressedE‐scooters are sought after for their cost‐effectiveness, sustainability, and efficiency in urban transportation. However, this popularity has been accompanied by a surge in injuries, prompting a deeper investigation into the factors influencing risk perceptions among e‐scooter users.MethodsUsing a qualitative approach, we conducted 19 interviews with those who attended an emergency department as a result of e‐scooter injury. We aimed to understand the psychosocial effects of these incidents and employed thematic analysis to discern recurrent patterns in participants' experiences, focusing on alterations in daily life, community response, perception shifts, and avenues to enhance safety awareness.ResultsThe findings underscored significant disruptions to daily life due to injuries, demonstrating enduring impacts on lifestyle and wellbeing. Participants exhibited a perceptual shift, transitioning from perceiving e‐scooters as enjoyable to viewing them as dangerous. Recommendations for enhancing safety awareness included accessible and clear safety education, pre‐ride briefings, real‐time safety guidance, temporal rental restrictions, and mandatory breathalysers before e‐scooter use.ConclusionsThe study underscores the importance of considering not only the individual experiences and perceptions of e‐scooter injuries but also the broader social context, including the night‐time economy. Leveraging peer narratives and community engagement is vital to reshape risk perceptions and promote harm reduction messages.So What?A comprehensive approach through proactive interventions and robust educational strategies is essential to foster responsible e‐scooter usage and prioritise public safety.

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Exploring the effect of perceived safety in first/last mile mode choices

Tzouras,

Pastia,

Kaparias

et al. 2024

Transportation

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Micro-mobility transport modes like e-bikes and e-scooters promise higher flexibility when covering the first/last mile trip from/to the public transport stop/station to the destination point and vice-versa. However, safety concerns about riding a micro vehicle in mixed traffic limit the flexibility of shared mobility modes and make conventional ones still more attractive, e.g., private car and walking. This study investigates the effect of perceived safety in first/last mile mode choice by conducting an image-based double stated preference experiment targeted at potential micro-mobility users and developing ordinal and mixed logistic regression models. The Value-of-Safety (VoS) is introduced. It refers to the additional distance a user is willing to exchange to avoid an unsafe path. Main findings show that shared space can be a middle-ground solution, as it reports lower heterogeneity among individuals in terms of safety perceptions. The intensive use of e-scooters in mixed-traffic decreases the perceived safety of pedestrians, while e-bikers are threatened by the existence of heavy motorized traffic. Low mean VoS is also reported for e-scooters, demonstrating the unwillingness of potential micro-mobility service users to either detour or use this micro vehicle. The mean VoS of the e-bike is estimated as almost equal to that of the private car. It could be, hence, concluded that perceived safety can systematically explain the unobserved disutility of e-bikes.

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E-scooter and bike-share route choice and detours: Modelling the influence of built environment and sociodemographic factors

Cited by 12 publications

References 77 publications

A mixed behavioural and data-driven method for assessing the shift potential to electric micromobility: evidence from Rome

A mixed behavioural and data-driven method for assessing the shift potential to electric micromobility: evidence from Rome

‘I mean, I wouldn't say I was sober’: Exploring the psychosocial impact of e‐scooter injuries and aligning a collaborative public health response

Exploring the effect of perceived safety in first/last mile mode choices

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