United States Department of Transportation
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.
i
Non-Motorized Count Program and Risk Factors Assessment
-
2025-03-01
[PDF-9.84 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final [March 2022 - March 2025]
-
Corporate Publisher:
-
Abstract:Non-motorized volumes at different locations in a transportation network are important data for understanding safety and travel needs for people who bike and walk. In Georgia, however, there are limited data about non-motorized volumes in transportation systems given, and in general, these modes volumes are difficult to predict due to high variability spatially and temporally. It is of interest to Georgia DOT and other transportation agencies how to leverage existing proxy (i.e., indirect) data to better understand biking and walking travel. The research in this technical report explores several facets of non-motorized volumes, proxy data, and safety: (1) the use of proxy data in non-motorized counting through literature review, (2) time series classification of proxy data using machine learning, (3) Bayesian time series models and proxy data for predicting biking and walking volumes at a high resolution, (4) and the relationship among non-motorized volumes and other bicycle and pedestrian risk factors. This work found that some proxy data, specifically Strava data for bicyclists and Automated Traffic Signal Performance Metrics data for pedestrians, are useful for predicting high- resolution biking and walking volumes, but that sufficient observed data are needed in places where traffic volumes vary greatly hourly or daily. Transportation agencies and researchers should use this work to direct future non-motorized counting and modeling.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
