Data Fusion for Nonmotorized Safety Analysis (03-049) [supporting dataset]

Project Description: This project explored an emerging research territory, fusion of nonmotorized traffic data for estimating reliable and robust exposure measures. The researchers developed fusion mechanisms to combine five bike demand data sources in Austin and demonstrated the applicability of the fused estimate in two crash analyses. The data used in this study were gathered from five primary data sources: (a) actual bicycle volume counts, (b) bicycle-sharing data, (c) NHTS add-on data, (d) Strava data, and (e) StreetLight data. In addition, the sociodemographic and land-use data for building models were obtained from the American Community Survey, Austin Transportation Department, and other public data domains.

• Dataset URL:
  https://doi.org/10.15787/VTT1/ZSJK4Z
• Record URL:
  https://safed.vtti.vt.edu/wp-content/uploads/2021/08/03-049_SAFE-D-final-Ready-for-Site2.pdf
• Summary URL:
  https://safed.vtti.vt.edu/projects/data-fusion-for-non-motorized-safety-analysis/
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/60229
• Dataset URL:
  https://rosap.ntl.bts.gov/view/dot/61534
• Supplemental Notes:
  • The dataset supports report: Data Fusion for Nonmotorized Safety Analysis, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Texas A&M Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135

  Safety Through Disruption University Transportation Center (Safe-D)

  Texas A&M Transportation Institute
  College Station, TX  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Sener, Ipek Nese
  • 0000-0001-5493-8756
  • Munira, Sirajum
  • 0000-0002-4953-2628
• Publication Date: 2021-8-6

Language

• English

Media Info

• Media Type: Dataset
• Dataset: Version: 1.0 Integrity Hash: UNF:6:K8X0OFZvUP++TQXscAfiCw== [fileUNF]
• Dataset publisher:

  Dataverse

  ,    

Subject/Index Terms

• TRT Terms: Bicycle counts; Bicycle travel; Demographics; Traffic data; Vehicle sharing
• Geographic Terms: Austin (Texas)
• Subject Areas: Data and Information Technology; Pedestrians and Bicyclists;

Filing Info

• Accession Number: 01781782
• Record Type: Publication
• Contract Numbers: 69A3551747115/Project 03-049
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Sep 20 2021 2:52PM