Details:

Creators:
Passmore, Reid ; Watkins, Kari E. ; Guensler, Randall
Passmore, Reid ; Watkins, Kari E. ; Guensler, Randall Less -
Corporate Creators:
National Center for Sustainable Transportation (NCST) ; Georgia Institute of Technology ; University of California, Davis, Institute of Transportation Studies
National Center for Sustainable Transportation (NCST) ; Georgia Institute of Technology ; University of California, Davis, Institute of Transportation Studies Less -
Corporate Contributors:
United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:
[+]
Access Bicycle Facility Preference Bicycle Networks Bicycle Route Choice Bicycle Travel First And Last Mile Travel Origin And Destination Public Transit Routes And Routing Safety Shortest Path Algorithms Shortest Path Routing Simulation Transit Centers Travel Time
Publication/ Report Number:
NCST-GT-RR-24-07
DOI:
https://doi.org/10.5281/zenodo.8097954
Resource Type:
Dataset
Geographical Coverage:
Atlanta (Georgia) ; United States
Atlanta (Georgia) ; United States Less -
Corporate Publisher:
National Center for Sustainable Transportation (NCST) (UTC)
Abstract:
Planners and engineers need to know how to assess the impacts of proposed cycling infrastructure projects, so that projects that have the greatest potential impact on the actual and perceived cycling safety are selected over those that would be less effective. Planners also need to be able to communicate these impacts to decision-makers and the public. This research addresses these problems using the BikewaySim cycling shortest path model. BikewaySim uses link impedance functions to account for link attributes (e.g., presence of a bike lane, steep gradients, the number of lanes) and find the least impedance path for any origin-destination pair. In this project, BikewaySim was used to assess the impacts of using time-only and time with attribute impedances, as well as two proposed cycling infrastructure projects, on 28,392 potential trips for a study area in Atlanta, Georgia. These impacts were visualized through bikesheds, individual routing, and betweenness centrality. Two metrics, percent detour and change in impedance, were also calculated. Results demonstrate that BikewaySim can effectively visualize potential improvements of cycling infrastructure and has additional applications for trip-planning. An expanded study area was also used to demonstrate bike + transit mode routing for four study area locations. Visualizations examine the accessibility to TAZs, travel time, and the utilized transit modes for each location. Compared to the walk + transit mode, the bike + transit mode provided greater access to other TAZs and reached them in a shorter amount of time. The locations near the center of the transit network where many routes converge offered the greatest accessibility for both the bike + transit and walk + transit modes. The difference in accessibility was greatest for locations near fewer transit routes. This research demonstrated how BikewaySim can be used to both examine the current cycling network and show changes in accessibility likely to result from new infrastructure. Both BikewaySim and TransitSim are open-source Python based tools that will be made available for practitioners to use in bicycle network planning. Future research will focus on calibrating link impedance functions with revealed preference data (cycling GPS traces) and survey response data (surveys on user preference for cycling infrastructure).

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Content Notes:
National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.8083359). NTL staff last accessed this dataset at its repository URL on 2024-04-25. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
Format:
ZIP
Funding:
69A3551747114
Collection(s):
University Transportation Centers
Main Document Checksum:
[+]
urn:sha256:274ac6710673c0884871841f5f4aca5c94d3db6cf7b49c061c6392e3fc0151dd
Download URL:
https://rosap.ntl.bts.gov/view/dot/74292/dot_74292_DS1.json
File Type:

Supporting Files

• No Additional Files

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