Equitable Estimation of Accurate High-Injury Networks (HINs) for Vulnerable Road Users [Research Brief]

Pande, Anurag; Majumdar, Anandamayee; Kantorowski, Lucas Roman

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Equitable Estimation of Accurate High-Injury Networks (HINs) for Vulnerable Road Users [Research Brief]

2026-04-01
By Pande, Anurag ; Majumdar, Anandamayee ; Kantorowski, Lucas Roman

File Language:

English

Details

Creators:

Pande, Anurag ; Majumdar, Anandamayee ; Kantorowski, Lucas Roman
Corporate Creators:

San Jose State University. College of Business. Mineta Transportation Institute ; California Polytechnic State University, San Luis Obispo
Corporate Contributors:

State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

2459
Resource Type:

Brief
Geographical Coverage:

United States ; California
Edition:

Research Brief
Corporate Publisher:

San Jose State University. College of Business. Mineta Transportation Institute
Abstract:

This research examines whether police-reported crash data alone are sufficient for developing equitable and accurate HINs. The study evaluates the extent of underreporting by comparing police crash records with Emergency Medical Services (EMS) data and real-time 911 call data. Overall, the research assesses whether integrating alternative data sources can provide a more complete, timely, and representative picture of traffic injury risk to better support Vision Zero implementation.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/90154/dot_90154_DS1.pdf
File Type:

[PDF - 570.20 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:4168ffebb59b796109d828e25f9041beca4cade533b5e5d76b70b9fa5511097374df307b15b9734c20a70fe9cab148be809f21290a8a7304a10dbcbe7c6efb51

File Language:

English

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