@article{ref1,
title="Analysis of potential collisions between pedestrians and personal transportation devices in a university campus: an application of unmanned aerial vehicles",
journal="Journal of American college health",
year="2021",
author="Kim, Dohyung and Park, Keunhyun",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVE: To identify factors that contribute to near-miss collisions between pedestrians and personal transportation devices (PTDs) in a university campus using a novel data collection method, unmanned aerial vehicle (UAV). PARTICIPANTS: A total of 3,349 pedestrians and 173 PTD riders were detected through UAV observations. <br><br>METHODS: The researchers employed UAV technology to capture and geocode the interactions and behavior of pedestrians and PTD riders. Then, a multilevel logistic regression model examined factors that contribute to near-miss collisions between pedestrians and PTDs. <br><br>RESULTS: The model outputs indicate that higher speed, non-bicycle PTDs (eg, skateboard and scooter), and some preventive actions, like reducing speed, deviating, and weaving, increase the probability of a PTD rider getting involved in a near-miss collision. <br><br>CONCLUSIONS: Findings can guide campus planners to redesign the streets as a safe environment for all transportation modes and implement appropriate regulations and education programs, especially for non-bicycle PTD riders.<p /> <p>Language: en</p>",
language="en",
issn="0744-8481",
doi="10.1080/07448481.2021.1967358",
url="http://dx.doi.org/10.1080/07448481.2021.1967358"
}