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.

Highlights

  • Shared micro-mobility has rapidly increased in popularity as an alternative transportation mode in the United States [1,2,3]

  • Python ridership gradually in- incidents, and traffic incidents using gradually increases from creases from 6 a.m., hits its peak during the afternoon (12 p.m. to 5 p.m.), and incremen6 a.m., hits its peak during the afternoon (12 p.m. to 5 p.m.), and incrementally decreases tally decreases at nighttime

  • The present study contributes to shared micro-mobility research in several ways

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Summary

Introduction

Shared micro-mobility has rapidly increased in popularity as an alternative transportation mode in the United States [1,2,3]. Shared micro-mobility is a user-oriented transportation mode that is accessible [4]. Types of shared micro-mobility services include station-based bike-sharing, dockless bike-sharing, and E-scooter sharing. E-scooter services have emerged as a commonly used micro-mobility mode in cities [2,5,6,7]. The first E-scooter sharing program was launched in the U.S in September 2017 [8]. E-scooter services have become one of the most popular non-automotive alternatives for people to travel short distances in urban downtowns and universities [3,9]

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