Assessing the Variation of Curbside Safety at the City Block Level

Medury, Aditya; Vlachogiannis, Dimitris; Grembek, Offer

doi:uc/item/46n9669d

i

Assessing the Variation of Curbside Safety at the City Block Level

2020-06-01
By Medury, Aditya ; Vlachogiannis, Dimitris ; Grembek, Offer

File Language:

English

Details

Creators:

Medury, Aditya ; Vlachogiannis, Dimitris ; Grembek, Offer
Corporate Creators:

University of California, Berkeley. Safe Transportation Research and Education Center ; University of California, Berkeley. Institute of Transportation Studies
Corporate Contributors:

Senate Bill 1, the Road Repair and Accountability Act of 2017 ; University of California Institute of Transportation Studies
Subject/TRT Terms:
Publication/ Report Number:

UC-ITS-2019-15
DOI:

https://escholarship.org/uc/item/46n9669d
Resource Type:

Tech Report
Geographical Coverage:

California;United States
Edition:

Final Report (July 2018 – June 2020)
Corporate Publisher:

University of California Institute of Transportation Studies
Description:

Investigating the dynamics behind the likelihood of vehicle crashes has been a focal research point in the transportation safety field for many years. However, the abundance of data in today's world generates opportunities for deeper comprehension of the various parameters affecting crash frequency. This study incorporates data from many different sources including geocoded police-reported crash data, curbside infrastructure data and socio-demographic data for the city of San Francisco, CA. Findings revealed that the GFMNB model provides a better statistical fit than the FMNB and NB model in terms of AIC and log likelihood, while the NB model outperformed both mixture models in terms of BIC due to model complexity of the latter. Among the significant variables, TNC pick-ups/drop offs and duration of parked vehicles were positively associated with segment-level crashes.
Format:

PDF
Funding:

UC-ITS-2019-15
Download URL:

https://rosap.ntl.bts.gov/view/dot/67222/dot_67222_DS1.pdf
File Type:

[PDF - 4.01 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:b0e51121a937bdce89789ede41116faad0d782cd266ce6ac8b4674ae71df1bfe3dc05885d708ac8bb8520b5f744fc9b91395c13d390968e97043cddaae565b0c

File Language:

English

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.