Full Citation
Title: Active Mode Crash Exposure in Lincoln, Nebraska Integrating Location-Based Service (LBS) Data
Citation Type: Miscellaneous
Publication Year: 2023
ISBN:
ISSN:
DOI: 10.13140/RG.2.2.16670.92483
NSFID:
PMCID:
PMID:
Abstract: Recent crash reports have consistently shown an over-representation of crashes involving non-motorized roa d users relative to their share of the traveled person-miles. Addressing non- motorized transportation s ys tem u sers’ safety is crucial due to their vulnerability, as w ell a s to promote human and environmental health benefits. This study employs GIS to investigate various exposure measures for pedestrian and cyclist crashes in Lincoln, Nebraska. The analyses use multimodal traffic vol umes predicted from StreetLight Location-Based Services (LBS) data, along with demographic, socioeconomic, land use, and road characteristics data. In terms of predicting crashes, LBS-based traffic variables, such as vehicular, pedestrian, and bike volumes show promising accuracy. Pedestrian and bicycle volumes exhibit a strong correlation with crash rates, whereas vehicular volumes show a relatively weaker correlation. D emographic, socioeconomic, land use, and road characteristics attributes showed limited varying potential as individual predictors of crashes. The integration of these variables with LBS-based traffic data is recommended to enable the accurate identification of crash-prone locations. The paper highligh ths the importance of LBS data in an equitable transportation planning and decision-making process through the inclusion of older vehicles and non-motorized users.
Url: https://www.researchgate.net/publication/372829557
User Submitted?: No
Authors: Elayan, Mohammad; Aldridge, Nicholas; Hawkins, Jason
Publisher:
Data Collections: IPUMS NHGIS
Topics: Health
Countries: