Publication Type

Journal Article

Version

publishedVersion

Publication Date

10-2021

Abstract

Dockless electric scooter (E-scooters) services have emerged in the United States as an alternative form of micro transit in the past few years. With the increasing popularity of E-scooters, it is important for cities to manage their usage to create and maintain safe urban environments. However, E-scooter safety in U.S. urban environments remains unexplored due to the lack of traffic and crash data related to E-scooters. Our study objective is to better understand E-scooter crashes from a street network perspective. New parcel level street network data are obtained from Zillow and curated in Geographic Information System (GIS). We conducted local Moran’s I and independent Z-test to compare where and how the street network that involves E-scooter crash differs spatially with traffic incidents. The analysis results show that there is a spatial correlation between E-scooter crashes and traffic incidents. Nevertheless, E-scooter crashes do not fully replicate characteristics of traffic incidents. Compared to traffic incidents, E-scooter incidents tend to occur adjacent to traffic signals and on primary roads.

Keywords

e-scooter safety, micro-mobility, street network

Discipline

Transportation | Urban Studies

Research Areas

Integrative Research Areas

Publication

Sustainability

Volume

13

Issue

19

First Page

1

Last Page

13

ISSN

2071-1050

Identifier

10.3390/su131910583

Publisher

MDPI

Additional URL

https://doi.org/10.3390/su131910583

Download

Share

COinS