ANALYSIS OF FACTORS AFFECTING REAR-END CRASH SEVERITY USING STRUCTURAL EQUATION MODELING

被引：0

作者：

Boonyoo, Tassana ^{[1
]}

Champahom, Thanapong ^{[2
]}

Ratanavaraha, Vatanavongs ^{[3
]}

机构：

[1] King Mongkuts Univ Technol Thonburi, Traff & Transport Dev & Res Ctr TDRC, Bangkok 10140, Thailand

[2] Rajamongala Univ Technol Isan, Fac Business Adm, Dept Management, Nakhon Ratchasima 30000, Thailand

[3] Suranaree Univ Technol, Sch Transportat Engn, Inst Engn, Nakhon Ratchasima 30000, Thailand

来源：

SURANAREE JOURNAL OF SCIENCE AND TECHNOLOGY | 2022年 / 29卷 / 01期

关键词：

Rear-end collision; highway; latent variables; structural equation modeling; crash size; DRIVER INJURY SEVERITY; SAFETY PROPENSITY INDEX; SIGNALIZED INTERSECTIONS; PSYCHOMETRIC PROPERTIES; ACCIDENT PROBABILITIES; ROADWAY CRASHES; VEHICLE; BEHAVIOR; TRUCKS; RISKS;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Road accidents regularly cause a high number of fatalities. Thailand' s road accident fatality rate of 32.7 of every 100,000 people ranks the ninth in the world. Surprisingly, same-direction collisions comprise the highest proportion of crashes leading to fatality. To determine how best to minimize the number of fatalities and injuries, this research uses structural equation modeling (SEM) to examine factors affecting rear-end collisions' severity. According to SEM results, the driver factor had the greatest effect on collision severity, followed respectively by road and environmental factors. After assessing relevant factors, this study suggested that stakeholder organizations should play an important role in road design and maintenance and in driver training. The study also discussed driving and road policies in Thailand and other developed countries.

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页数：12

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