SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Medury A, Grembek O, Loukaitou-Sideris A, Shafizadeh K. Accid. Anal. Prev. 2019; 130: 99-107.

Affiliation

College of Engineering and Computer Science, California State University, Sacramento, CA, USA.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.aap.2017.08.014

PMID

28847409

Abstract

In this paper, the non-motorized traffic safety concerns in and around three university campuses are evaluated by comparing police-reported crash data with traffic safety information sourced from the campus communities themselves. The crowdsourced traffic safety data comprise of both self-reported crashes as well as perceived hazardous locations. The results of the crash data analysis reveal that police-reported crashes underrepresent non-motorized safety concerns in and around the campus regions. The spatial distribution of police-reported crashes shows that police-reported crashes are predominantly unavailable inside the main campus areas, and the off-campus crashes over-represent automobile involvement. In comparison, the self-reported crash results report a wide variety of off-campus collisions not involving automobiles, while also highlighting the issue of high crash concentrations along campus boundaries. An assessment of the perceived hazardous locations (PHLs) reveals that high concentrations of such observations at/near a given location have statistically significant association with both survey-reported crashes as well as future police-reported crashes. Moreover, the results indicate the presence of a saturation point in the relationship between crashes and PHLs wherein beyond a certain limit, an increasing number of traffic safety concerns may not necessarily correlate with a proportional increase in the number of crashes. These findings suggests that augmenting our existing knowledge of traffic safety through crowdsourcing techniques can potentially help in better estimating both existing as well as emerging traffic safety concerns.

Copyright © 2017 Elsevier Ltd. All rights reserved.


Language: en

Keywords

Bicycle safety; Crash reporting; Crowdsourcing; Pedestrian safety; University campuses

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print