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Road safety status and analysis in Thailand and other Asian countries |
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| รหัสดีโอไอ | |
| Creator | 1. Pongrid Klungboonkrong 2. Jeremy Woolley 3. Surat Pramualsakdikul 4. Supakorn Tirapat 5. Wiroon Yotmeeboon 6. Nuthaphong Pattulee 7. Natthapoj Faiboun |
| Title | Road safety status and analysis in Thailand and other Asian countries |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2562 |
| Journal Title | Engineering and Applied Science Research |
| Journal Vol. | 46 |
| Journal No. | 4 |
| Page no. | 340-348 |
| Keyword | Road Traffic Fatalities (RTFs), Fatalities per vehicle, Fatalities per population, Asian countries, Road safety status and analysis |
| URL Website | https://www.tci-thaijo.org/index.php/easr/index |
| Website title | Engineering and Applied Science Research |
| ISSN | 2539-6161 |
| Abstract | Based on the Global Status Report on Road Safety 2018, the interrelationship of important road safety elements (such as Road Traffic Fatalities (RTFs), population, income levels, registered vehicles, law enforcement and others) of Thailand and other Asian countries could be achieved via a literature review and critical analysis. RTFs per 100,000 people had moderate correlations with motorization (registered vehicles per capita), while RTFs per 100,000 vehicles showed reasonable correlations with the number of registered vehicles per 100,000 people. When the number of registered vehicles per 100,000people increased, the RTFs per 100,000 vehicles decreased. The vehicles involved in RTFs in Thailand and other Asian countries were primarily 2/3-wheelers. As the proportion of 2/3- and 4-wheeled vehicles in Asian countries increased, the percentages of RTFs caused by 2/3- and 4-wheeled vehicles were enhanced. As the Gross National Incomes (GNIs) per capita of Asian countries enhanced, the road safety law enforcement was slightly better. Based on RTFs per 100,000 people, Thailand is one of the most hazardous countries for road transport in the world. In Thailand, a RTF (per 100,000 population) prediction model was derived using a limited time series with three RTF database sources. Motorization can potentially be used to predict the RTFs per 100,000 population in Thailand. In 2020, the anticipated RTFs per 100,000 people will be 29.4. That is greater than the target (18.0). Consequently, Thailand is unlikely to achieve its Sustainable Development Goals (SDGs) for road safety issues in the near future. |
