Bayesian multivariate spatial modeling for crash frequencies by injury severity at daytime and nighttime in traffic analysis zones-Reference-Cited by-同舟云学术

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Bayesian multivariate spatial modeling for crash frequencies by injury severity at daytime and nighttime in traffic analysis zones

Published:2022-05-09 Issue: Volume: Page:1-8
ISSN:1942-7867
Container-title:Transportation Letters
language:en
Short-container-title:Transportation Letters

Author:

Zeng Qiang¹,Wang Fangzhou¹,Wang Qianfang¹,Pei Xin²,Yuan Quan³^ORCID

Affiliation:

1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, Guangdong, China

2. Department of Automation, Tsinghua University, Beijing, P.R. China

3. State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, P.R. China

Funder

Fundamental Research Funds for the Central Universities

Guangzhou Municipal Science and Technology Project

International Science and Technology Cooperation Programme

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Transportation

Link

https://www.tandfonline.com/doi/pdf/10.1080/19427867.2022.2072459

Reference48 articles.

1. Geographical unit based analysis in the context of transportation safety planning

2. Integrating Trip and Roadway Characteristics to Manage Safety in Traffic Analysis Zones

3. Multivariate spatial models of excess crash frequency at area level: Case of Costa Rica

4. Exploring a Bayesian hierarchical approach for developing safety performance functions for a mountainous freeway

5. A Full Bayesian multivariate count data model of collision severity with spatial correlation

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1. Exploring factors affecting the injury severity of highway-rail grade crossing crashes during the COVID-19 pandemic;Transportation Letters;2024-08-22

2. Investigating built environment and traffic flow impact on crash frequency in urban road networks;Accident Analysis & Prevention;2024-06

3. Analysis of crash severity in rear-end and angle collisions on an urban roundabout in heterogeneous non-lane-based traffic conditions;Transportation Letters;2024-04-10

4. Exploring differences in injury severity between occupant groups involved in fatal rear-end crashes: a correlated random parameter logit model with mean heterogeneity;Transportation Letters;2023-12-11

5. Investigating the spatial heterogeneity of factors influencing speeding-related crash severities using correlated random parameter order models with heterogeneity-in-means;Transportation Letters;2023-10-04

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