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Shared e-scooter services and road safety: Evidence from six European countries
European Economic Review, 2023 We estimate the causal effect of shared e-scooter services on traffic accidents by exploiting the variation in the availability of e-scooter services induced by the staggered rollout across 93 cities in six countries. Police-reported accidents involving personal injuries in the average month increased by around 8.2% after shared e-scooters were ...
Cannon Cloud +2 more
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Transportation Research Interdisciplinary Perspectives, 2023 A rapid rise in the popularity of e-scooters has brought forth an increasing number of e-scooter-related conflicts, crashes, and injuries to pedestrians in many cities. There is a pressing need to understand the factors influencing the severity of injury
Milan Paudel +4 more
doaj +1 more source
Aspects of E-Scooter Sharing in the Smart City
Informatics, 2022 The contemporary urban environment faces such challenges as overloaded traffic, heavy pollution, and social problems, etc. The concept of the “smart city” allows solving some of these issues. One of the opportunities provided by the smart city is the development of micro-mobility and sharing services; contributing to the optimization of transport flows
Yelena Popova, Diana Zagulova
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The Chance of Getting Struck by a Car on an e-Scooter is Twice as High at Night
Findings, 2022 Nighttime crash risk is higher across all modes of transportation. Despite regulatory pressure to intervene in nighttime e-scooter riding, there is limited understanding of the number of crashes and crash rates by daytime and nighttime.
Nitesh R. Shah, Christopher R. Cherry
doaj +1 more source
Micromobility, Macro Goals: Aligning scooter parking policy with broader city objectives
Transportation Research Interdisciplinary Perspectives, 2021 Dockless electric scooters challenge cities seeking to regulate them amidst broader goals such as universal access. Cities are particularly concerned with improper scooter parking, which can impede access by other travelers.
Anne Brown
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E-scooter sharing schemes operational zones in Poland: Dataset on voivodeship capital cities
Data in Brief, 2020 In this paper, we present the vector dataset of the operational zones of e-scooter shared mobility services in the voivodeship capital cities in Poland.
Daniel Štraub, Agnieszka Gajda
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Do shared e-scooter services cause traffic accidents? Evidence from six European countries
, 2022 We estimate the causal effect of shared e-scooter services on traffic accidents by exploiting variation in availability of e-scooter services, induced by the staggered rollout across 93 cities in six countries. Police-reported accidents in the average month increased by around 8.2% after shared e-scooters were introduced.
Cloud, Cannon +2 more
openaire +2 more sources
Price and competition in emerging shared e-scooter markets
Research in Transportation Economics, 2023 The rapid deployment of shared dockless electric scooters (e-scooters) has resulted in attention from the public and regulators. Recurring issues include fleet size and the number of operators in the market. In this paper we study market development in two Norwegian cities and discuss how these experiences point towards future e-scooter regulation and ...
Jørgen Aarhaug +3 more
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Clutter and Compliance: Scooter Parking Interventions and Perceptions
Active Travel Studies, 2023 Shared e-scooter programs often generate complaints about improper parking because it create unappealing clutter and can make it difficult for pedestrians to use the sidewalk.
Anne Brown +2 more
doaj +2 more sources
E-Scooter Sharing: Leveraging Open Data for System Design
2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2020 With the shift toward a Mobility-as-a-Service paradigm, electric scooter sharing systems are becoming a popular transportation mean in cities. Given their novelty, we lack of consolidated approaches to study and compare different system design options. In this work, we propose a simulation approach that leverages open data to create a demand model that
Ciociola, Alessandro +4 more
openaire +1 more source