Identifying the safety factors over traffic signs in state roads using a panel quantile regression approach-Reference-Cited by-同舟云学术

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Identifying the safety factors over traffic signs in state roads using a panel quantile regression approach

Published:2018-08-18 Issue:6 Volume:19 Page:607-614
ISSN:1538-9588
Container-title:Traffic Injury Prevention
language:en
Short-container-title:Traffic Injury Prevention

Author:

Šarić Željko¹,Xu Xuecai²³,Duan Li²,Babić Darko⁴

Affiliation:

1. Department of Traffic Accident Expertise, Faculty of Transport and Traffic Sciences, University of Zagreb, Zagreb, Croatia;

2. School of Civil Engineering and Mechanics, Huazhong University of Science and Technology, Hongshan District, Wuhan, China;

3. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore;

4. Department of Traffic Signaling, Faculty of Transport and Traffic Sciences, University of Zagreb, Zagreb, Croatia

Funder

Singapore Ministry of Education Academic Research Fund Tier 1

Fundamental Research Fund for the Central Universities

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/15389588.2018.1476688

Reference42 articles.

1. Examining pedestrian-injury severity using alternative disaggregate models

2. Random parameters multivariate tobit and zero-inflated count data models: Addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis

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

4. An empirical assessment of fixed and random parameter logit models using crash- and non-crash-specific injury data

5. A study of factors affecting highway accident rates using the random-parameters tobit model

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