Exploring temporal interactions of crash counts in California using distinct log-linear contingency table models-Reference-Cited by-同舟云学术

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Exploring temporal interactions of crash counts in California using distinct log-linear contingency table models

Published:2021-06-14 Issue:3 Volume:28 Page:360-375
ISSN:1745-7300
Container-title:International Journal of Injury Control and Safety Promotion
language:en
Short-container-title:International Journal of Injury Control and Safety Promotion

Author:

Cheng Wen¹,Singh Mankirat¹,Clay Edward¹^ORCID,Kwong Jerry²,Cao Menglu¹,Li Yihua³,Truong Aaron²

Affiliation:

1. Department of Civil Engineering, California State Polytechnic University, Pomona, Pomona, CA, USA

2. Division of Research, Innovation and System Information, California Department of Transportation, Sacramento, CA, USA

3. Department of Logistics Engineering, Logistics and Traffic College, Central South University of Forestry and Technology, Hunan, China

Funder

this study was provided by Caltrans

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457300.2021.1928231

Reference77 articles.

1. An assessment of the effect of driver age on traffic accident involvement using log-linear models

2. Geo-spatial and log-linear analysis of pedestrian and bicyclist crashes involving school-aged children

3. Investigating influence factors of traffic violation using multinomial logit method

4. A note on modeling vehicle accident frequencies with random-parameters count models

5. Heavy-Vehicle Crash Rate Analysis: Comparison of Heterogeneity Methods Using Idaho Crash Data

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1. Space-time analysis of accident frequency and the role of built environment in mitigation;Transport Policy;2024-05

2. Examination of factors associated with the temporal stability assessment of crash severity by using generalised linear model—A case study;PLOS ONE;2024-04-19

3. Exploration of the contributing factors to the walking and biking travel frequency using multi-level joint models with endogeneity;Journal of Traffic and Transportation Engineering (English Edition);2022-12

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