Developing a data fusion framework to map active transportation usage patterns in Orange County
The proposed research aims to create a set of adjustment factors accounting for the built environment, socio-economic, and land-use characteristics which can be applied to crowdsourced data so that policymakers and transportation practitioners across the Southern California region can begin to incorporate exposure estimates more reliably and consistently into their safety, infrastructure planning, and decision-making analysis. The proposed solution will be relatively easy to use and will bring potentially substantial cost and resource savings to communities throughout the country. Public agencies using crowdsourced data can benefit from the proposed methodologies for validating exposure estimates and reproducing methodologies for working with similar datasets. By bridging the gap between crowdsourced data and the resources needed to reliably use that data, these factors will put exposure estimates at the fingertips of communities that urgently need data but have not prioritized it due to resource constraints. This research will also provide insights into bicycling patterns that may be more broadly applicable, such as geographic and sociodemographic variables that consistently impact bicycling volumes in certain contexts or on certain street types regardless of context. These insights will be useful irrespective of whether a community has crowdsourced data or an established counting program. It will also highlight aspects of disparities in access to safe bicycling amenities that are often not well captured in count programs conducted by local authorities. The underrepresented communities which are often left out of planning decisions will be accounted for in the modeling framework by means of additional data acquired from US Census Bureaus’ American Community Survey.
Language
- English
Project
- Status: Active
- Funding: $78261
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Contract Numbers:
65A0674
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
METRANS Transportation Consortium
University of Southern California
Los Angeles, CA United States -
Project Managers:
Hong, Jennifer
Bruner, Britain
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Principal Investigators:
Roy, Avipsa
- Start Date: 20230701
- Expected Completion Date: 20240630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Bicycling; Crowdsourcing; Data fusion; Nonmotorized transportation; Travel patterns
- Geographic Terms: Orange County (California)
- Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Planning and Forecasting;
Filing Info
- Accession Number: 01899789
- Record Type: Research project
- Source Agency: Pacific Southwest Region University Transportation Center
- Contract Numbers: 65A0674
- Files: UTC, RIP
- Created Date: Nov 17 2023 11:04PM