TY - JOUR PY - 2021// TI - Analysis of potential collisions between pedestrians and personal transportation devices in a university campus: an application of unmanned aerial vehicles JO - Journal of American college health A1 - Kim, Dohyung A1 - Park, Keunhyun SP - ePub EP - ePub VL - ePub IS - ePub N2 - 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.

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.

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.

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.

Language: en

LA - en SN - 0744-8481 UR - http://dx.doi.org/10.1080/07448481.2021.1967358 ID - ref1 ER -