With the growing integration of active transportation and the affordability of crowdsourced data, there’s a clear opportunity to bridge the data gap in transportation planning and decision-making. This project aims to harness crowdsourced bicycle data, alongside land use and socio-economic data in Wisconsin, to create a robust framework for non-motorist safety enhancement. The primary objectives of this project include: (1) collecting extensive crowdsourced data to achieve comprehensive statewide coverage; (2) computing bicycle link-level volumes for various types of facilities, including on-street (streets, bike lanes) and off-street (trails); (3) analyzing cyclist injury risks, and producing detailed maps of bike ridership and crash hotspots; and (4) formulating policy recommendations based on the insights gained from the bike risk analysis.

Project Details


Project ID
GFG-2024-UW-MILWA-00146

Status
Ongoing

Start Date
October 1, 2025

End Date
June 30, 2026

Focus Areas
Data Analytics, Modeling and Simulation
Economy and Policy
Safety
Urban Mobility

Sponsors
US Dept Of Transportation
Wi Dept Of Transportation

Research Centers
Institute for Physical Infrastructure and Transportation (IPIT)

Principal Investigator

Qin, Xiao
Director, Institute for Physical Infrastructure and Transportation (IPIT)
Professor, Civil and Environmental Engineering University of Wisconsin-Milwaukee

Co-Principal Investigator

Li, Yang
Research Associate, Institute for Physical Infrastructure and Transportation (IPIT)