A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics-Reference-Cited by-同舟云学术

A joint probability model for pedestrian crashes at macroscopic level: Roles of environment, traffic, and population characteristics

Published:2021-02 Issue: Volume:150 Page:105898
ISSN:0001-4575
Container-title:Accident Analysis & Prevention
language:en
Short-container-title:Accident Analysis & Prevention

Author:

Su Junbiao,Sze N.N.^ORCID,Bai Lu

Funder

Hong Kong Polytechnic University

Research Grants Council, University Grants Committee

Publisher

Elsevier BV

Subject

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

Reference93 articles.

1. Analysis of types of crashes at signalized intersections by using complete crash data and tree-based regression;Abdel-Aty;Transportation Research Record,2005

2. Geographical unit based analysis in the context of transportation safety planning;Abdel-Aty;Transportation Research Part A: Policy and Practice,2013

3. Spatial analysis of fatal and injury crashes in pennsylvania;Aguero-Valverde;Accident Analysis & Prevention,2006

4. A bayesian multivariate hierarchical spatial joint model for predicting crash counts by crash type at intersections and segments along corridors;Alarifi;Accident Analysis & Prevention,2018

5. Macroscopic modeling of pedestrian and bicycle crashes: A cross-comparison of estimation methods;Amoh-Gyimah;Accident Analysis & Prevention,2016

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