With the increasing availability and affordability, crowdsourced data has been considered to be a cost-effective way to bridge the data gap for decision making and performance measures. The anticipated objectives of this project are to: (1) collect crowdsourced bike data, land use, and relevant socio-economic data in Wisconsin, (2) compute bicycle link-level volumes based on the input variables for on-street bike facilities (e.g., streets, bike lanes, shared path, shoulders), and off-street bike facilities such as trails, (3) analyze the cyclist injury risk, and generate bike ridership maps and bike crash maps, and (4) provide policy recommendations based on bike risk analysis.

Project Details

Project ID


Start Date
December 1, 2022

End Date
September 30, 2023

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

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

Schneider,Robert J; Li, Yang
Associate Professor, Department of Urban Planning University of Wisconsin-Milwaukee; Research Associate, Institute for Physical Infrastructure and Transportation (IPIT)