Risk Perception of Bicycle/Scooter Riders Risky Behaviors

Taleqani, Ali Rahim; Hough, Jill

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Risk Perception of Bicycle/Scooter Riders Risky Behaviors

2020-12-01
By Taleqani, Ali Rahim ; Hough, Jill

File Language:

English

Details

Creators:

Taleqani, Ali Rahim ; Hough, Jill
Corporate Creators:

Upper Great Plains Transportation Institute ; Small Urban and Rural Transit Center, North Dakota State University
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

SURTCOM 20-04
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Upper Great Plains Transportation Institute
Abstract:

Bicycle and scooter use entails significant safety and health risks. News stories have described the reckless behavior of users across the United States with the emergence of micromobility options. This paper investigates risky behaviors associated with U.S. bicycle and scooter riding adults. Two separate surveys were administered through the Qualtrics platform. Participants were asked to rate the severity and frequency of 20 risky behaviors of riders on five Likert scales. The risk matrix is built based on the magnitude and frequency of each risk, and ordered logistic regression is applied to identify significant factors. Regression analysis revealed that age and income are significant factors shared between both survey groups. Education level and living in urban areas are two statistically significant factors explaining the different risky behaviors with bicycles or scooters. In general, the survey results show that participants perceive there is a low risk associated with reckless behaviors.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/72638/dot_72638_DS1.pdf
File Type:

[PDF - 1.30 MB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:dfa87f2384210827df750b65e32b93d91a9c30b5033078144fa8ac63dcd93531f26e3a6ffc0b084cfd2fd4a148ee1257755109739ea7e2d1a634c22a530734f6

File Language:

English

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