Exposure based geographic analysis mode for estimating the expected pedestrian crash frequency in urban traffic zones; case study of Tehran

Author:

Almasi Seyed Ahmad,Behnood Hamid Reza

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference55 articles.

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2. Almasi, S.A., Behnood, H.R., Arvin, R., 2021. Pedestrian crash exposure analysis using alternative geographically weighted regression models.Journal of advanced transportation,2021.

3. Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions;Bozdogan;Psychometrika,1987

4. Spatial zero-inflated negative binomial regression models: application for estimating frequencies of rear-end crashes on Thai highways;Champahom;J. Transport. Safety Security,2020

5. Associating pedestrian crashes with demographic and socioeconomic factors;Chimba;Case Stud. Transport Policy,2018

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