Geofence planning for electric scooters

Liazos, Alexandros; Iliopoulou, Christina; Κεπαπτσόγλου, Κωνσταντίνος; Bakogiannis, Efthimios

doi:10.1016/j.trd.2021.103149

Cited by 23 publications

(8 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Geofences can also be used for setting variable speed limits for e-scooters depending on road network characteristics, for instance limiting speeds when entering pedestrian zones (Gössling, 2020). Devising and maintaining geofencing plans can alleviate safety concerns for both cities and operators (Liazos, 2022).…”

Section: )mentioning

confidence: 99%

How Can We Make Shared E-scooter Systems Safer? Municipal Perspectives on Safety in Shared E-scooter Programs

Cipriani

2024

Preprint

View full text Add to dashboard Cite

Dockless shared electric scooters (e-scooters) are quickly becoming a popular mobility choice in urban areas. E-scooter systems have spread rapidly to cities across North America since 2017. Their ubiquity in urban centres has significant impacts on transportation ecosystems in cities, and has raised significant concerns around safety, public health, accessibility, and public space use. There is a need to better understand how e-scooters can be integrated into existing transportation systems while considering public health and safety. This study examines how municipalities perceive and are responding to issues of public health and safety posed by e-scooters by interviewing municipal staff who oversee e-scooter programs. The results show that municipalities describe similar experiences to those documented in the academic literature. In particular, they identify four safety challenges: e-scooter riders as a new category of vulnerable road users, getting accurate safety data, issues with sidewalk riding and improper parking, and rider behaviour. Recommendations are provided to aid municipal planners in developing local escooter policies around safety in Canada.

show abstract

Section: )mentioning

confidence: 99%

How Can We Make Shared E-scooter Systems Safer? Municipal Perspectives on Safety in Shared E-scooter Programs

Cipriani

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Travel costs were calculated using Google maps, while QGIS TM was used to determine road grades. The gradient threshold for e-bike deployment was assumed as 8% [29,30]. The battery capacity of the e-cargo bikes was assumed as 450 Wh (2).…”

Section: Overviewmentioning

confidence: 99%

Last-Mile Logistics Network Design under E-Cargo Bikes

Papaioannou

Iliopoulou

Κεπαπτσόγλου

2023

Future Transportation

Self Cite

View full text Add to dashboard Cite

E-cargo bikes, i.e., electric bicycles equipped with baskets for transporting goods, are perceived as an advantageous solution for urban last-mile logistics. Particularly for short distances and low volumes of goods, the use of e-cargo bikes is ideal in urban areas where access of conventional cars may be prohibited. In this context, this study presents an e-cargo bike routing model for urban deliveries. The problem is formulated as a Capacitated Vehicle Routing Problem (CVRP), which takes several aspects into account, such as restrictions on bicycle capacity, road grade and workload balancing. A mathematical model is constructed to solve the problem, and a Genetic Algorithm (GA) is applied. Results on a case study in Athens, Greece are presented and analyzed, highlighting the applicability of the model in real-world operations, yielding reasonable results in short computational times.

show abstract

“…Studies that attempted to plan micro-mobility networks monothematically focused on the determination of the sharing the location of systems or dockless vehicles, so that door-to-door travel with minimum operational cost is ensured [30][31][32][33]. Other works considered micro-mobility networks as part of a multimodal transport network; their approach objected to increasing network connectivity and coverage [34,35].…”

Section: Introductionmentioning

confidence: 99%

Describing Micro-Mobility First/Last-Mile Routing Behavior in Urban Road Networks through a Novel Modeling Approach

Tzouras,

Mitropoulos,

Koliou

et al. 2023

Sustainability

Self Cite

View full text Add to dashboard Cite

E-scooters aspire to provide flexibility to their users while covering the first/last mile of a multimodal trip. Yet, their dual travel behavior, i.e., utilizing both vehicles’ roadways and pedestrians’ sidewalks, creates new challenges to transport modelers. This study aims to model e-scooter riding behavior in comparison to traditional urban transport modes, namely car and walking. The new modeling approach is based on perceived safety that is influenced by the road environment and affects routing behavior. An ordinal logistic model of perceived safety is applied to classify road links in a 7-point Likert scale. The parametric utility function combines only three basic parameters: time, cost, and perceived safety. First/last mile routing choices are modeled in a test road network developed in Athens, Greece, utilizing the shortest-path algorithm. The proposed modeling approach proved to be useful, as the road environment of an urban area is heterogenous in terms of safety perceptions. Indeed, the model outputs show that the flexibility of e-scooters is limited in practice by their low-perceived safety. To avoid unsafe road environments where motorized traffic dominates, e-scooter riders tend to detour. This decision-making process tool can identify road network discontinuities. Nevertheless, their significance regarding routing behavior should be further discussed.

show abstract

Geofence planning for electric scooters

Cited by 23 publications

References 39 publications

How Can We Make Shared E-scooter Systems Safer? Municipal Perspectives on Safety in Shared E-scooter Programs

How Can We Make Shared E-scooter Systems Safer? Municipal Perspectives on Safety in Shared E-scooter Programs

Last-Mile Logistics Network Design under E-Cargo Bikes

Describing Micro-Mobility First/Last-Mile Routing Behavior in Urban Road Networks through a Novel Modeling Approach

Contact Info

Product

Resources

About