Network Screening on Low-Volume Roads Using Risk Factors

Details

• Creators:
  Huda, Kazi Tahsin ; Al-Kaisy, Ahmed
• Corporate Creators:
  University of North Carolina at Charlotte. Dept. of Engineering Technology and Construction Management ; Montana State University (Bozeman, Mont.). Department of Civil Engineering
• Corporate Publisher:
  MDPI
• Subject/TRT Terms:
  • Low volume roads
  • Crashes
  • Predictive models
  • Empirical methods
  • Computer networks
  • Regression analysis
  • Risk assessment crash prediction
  • Empirical Bayes
  • network screening
  • classifcation
  More +
• Resource Type:
  Journal Article
• Geographical Coverage:
  Oregon;United States
• Edition:
  https://doi.org/10.3390/futuretransp 4010013
• Description:
  This paper proposes a new method for network screening on rural low-volume roads. These roads are important as they provide critical access to agricultural land and tourist attractions. Most low-volume roads belong to the lowest functional class (local rural roads) and thus are built to lower design standards. Conventional hot spot network screening techniques may not be appropriate for low-volume roads due to the sporadic nature of crashes occurring on these roads. Conversely, sophisticated network screening approaches require extensive roadway and traffic data that are often unavailable to local agencies due to a lack of resources, and/or a lack of technical expertise. This research attempts to address these obstacles to low-volume road network screening which aims to identify candidate sites for safety improvements. The research used an extensive low-volume road sample from the state of Oregon and Empirical Bayes expected number of crashes in developing the proposed models for network screening. The proposed models do not require exact measurements of roadway geometric features as all geometric variables were classified into categories that are easy to compile by local agencies. Further, the method could be used with and without traffic data, without compromising the effectiveness of the network screening process.
• Content Notes:
  This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: Huda, K.T.; Al-Kaisy, A. Network Screening on Low-Volume Roads Using Risk Factors. Future Transp. 2024, 4, 257–269. https://doi.org/10.3390/futuretransp4010013
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/78279/dot_78279_DS1.pdf
• File Type:
  [PDF - 1.95 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:050cb0229813a430af09a01a541615988b1b84eb10578e2f48af99605b45f498c92d4d5d94d74bb38df4bb368cb03956e515d960a96070bf153313113bf2358c