Investigating the association between neighbourhood characteristics and e-scooter safety

Author:

Heydari Shahram,Forrest MichaelORCID,Preston JohnORCID

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference64 articles.

1. Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods;Amoh-Gyimah;Accident Analysis and Prevention,2016

2. Modeling factors contributing to dockless e-scooter injury accidents in Austin;Azimian;Texas. Traffic Injury Prevention,2022

3. A new spatial and flexible multivariate random-coefficients model for the analysis of pedestrian injury counts by severity level;Bhat;Analytic Methods in Accident Research,2017

4. Legalisation of e-scooters in the UK: The injury rate and pattern is similar to those of bicycles in an inner city metropolitan area;Bodansky;Public Health,2022

5. Electric scooter injuries at Auckland City Hospital;Brownson;The New Zealand Medical Journal (Online),2019

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