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Understanding E-Scooter Incidents Patterns in Street Network Perspective: A Case Study of Travis County, Texas
| Content Provider | MDPI |
|---|---|
| Author | Jiao, Junfeng Bai, Shunhua Choi, Seung Jun |
| Copyright Year | 2021 |
| Description | 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. |
| Starting Page | 10583 |
| e-ISSN | 20711050 |
| DOI | 10.3390/su131910583 |
| Journal | Sustainability |
| Issue Number | 19 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-09-24 |
| Access Restriction | Open |
| Subject Keyword | Sustainability Transportation Science and Technology E-scooter Safety Micro-mobility Street Network |
| Content Type | Text |
| Resource Type | Article |
