Developing accident frequency prediction models for urban roads: A case study in São Paulo, Brazil

Isler, C.A., Huang, Y. orcid.org/0000-0002-1220-6896 and de Melo, L.E.A. (2024) Developing accident frequency prediction models for urban roads: A case study in São Paulo, Brazil. IATSS Research, 48 (3). pp. 378-392. ISSN 0386-1112

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Item Type: Article
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© 2023 International Association of Traffic and Safety Sciences. Production and hosting by Elsevier Ltd. CC BY-NC-ND 4.0 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: Urban roads; Crash prediction; Stepwise poisson regression; Road safety
Dates:
  • Published: October 2024
  • Published (online): 23 July 2024
  • Accepted: 4 July 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 28 Aug 2024 13:05
Last Modified: 28 Aug 2024 13:05
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.iatssr.2024.07.002
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
  • Sustainable Development Goals: Goal 15: Life on Land
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