Motorcyclist injury severity analysis: a comparison of Artificial Neural Networks and random parameter model with heterogeneity in means and variances-Reference-Cited by-同舟云学术

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Motorcyclist injury severity analysis: a comparison of Artificial Neural Networks and random parameter model with heterogeneity in means and variances

Published:2022-06-06 Issue:4 Volume:29 Page:500-515
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:

Se Chamroeun¹^ORCID,Champahom Thanapong²^ORCID,Jomnonkwao Sajjakaj¹^ORCID,Ratanavaraha Vatanavongs¹^ORCID

Affiliation:

1. School of Transportation Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand

2. Department of Management, Faculty of Business Administration, Rajamangala University of Technology Isan, Nakhon Ratchasima, Thailand

Funder

Suranaree University of Technology

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/17457300.2022.2081985

Reference75 articles.

1. Predicting Injury Severity Levels in Traffic Crashes: A Modeling Comparison

2. Development of Artificial Neural Network Models to Predict Driver Injury Severity in Traffic Accidents at Signalized Intersections

3. A statistical assessment of temporal instability in the factors determining motorcyclist injury severities

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

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1. Evaluating helmet-wearing of single-vehicle overspeeding motorcycle crashes: Insights from temporal instability in parsimonious pooled framework;Traffic Injury Prevention;2024-03-28

2. Modeling of single-vehicle and multi-vehicle truck-involved crashes injury severities: A comparative and temporal analysis in a developing country;Accident Analysis & Prevention;2024-03

3. A comparative analysis of factors affecting injury severity in speeding-related crashes on rural and urban roads;International Journal of Crashworthiness;2024-01-16

4. Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas;Safety;2023-12-12

5. Contributing factors to near-miss experiences of motorcyclists in Thailand: A random parameter probit model approach;Heliyon;2023-12

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