Impact of E-Scooters on Pedestrian Safety: A Field Study Using Pedestrian Crowd-Sensing
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by
Anindya Maiti, Nisha Vinayaga-Sureshkanth, Murtuza Jadliwala, Raveen Wijewickrama, Greg P. Griffin
2020
Abstract
The popularity and proliferation of electric scooters (e-scooters) as a
micromobility solution in our cities and urban communities has been rapidly
rising. Rent-by-the-minute pricing and a healthy competition between
micromobility service providers is also benefiting riders with low trip costs.
However, an unprepared urban infrastructure, combined with uncertain operation
policies and poor regulation enforcement, has resulted in e-scooter riders
encroaching public spaces meant for pedestrians, thus causing significant
safety concerns both for themselves and the pedestrians. As a consequence, it
has become critical to understand the current state of pedestrian safety in our
urban communities vis-à-vis e-scooter services, identify factors that
impact pedestrian safety due to such services, and determine how to support
pedestrian safety going forward. Unfortunately, to date there have been no
realistic, data-driven efforts within the research community that address these
issues. In this work, we conduct a field study to empirically investigate and
characterize new safety issues that arise due to the introduction of e-scooter
services, from the pedestrians' perspective. By crowd-sensing real-time
encounter data between e-scooters and pedestrian participants on two
urban university campuses over a three-month period, we uncover encounter
statistics and mobility trends that could identify potentially unsafe
spatio-temporal zones for pedestrians. This first-of-its-kind work also
provides a blueprint on how crowd-sensed micromobility data can enable similar
safety-related studies in other urban communities.
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