| Author | Piyapong Srirat |
| Call Number | AIT Thesis no.TE-07-07 |
| Subject(s) | Traffic accidents--Thailand--Nakhon Ratchasima
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| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. TE-07-07 |
| Abstract | In Thailand, the absence of accident data is widely acknowledged. The main organizations collect accident data only for their interested area, but the integration of databases can not be found in order to share data among various related agencies. The differences between two data sources or missing data in either source, called under-reporting, is one of the major problems as encountered during the accident analysis. This study is to apply the results from the integration between two accident databases collected by the Department of Highways (DOH) and the Royal Thai Police in accident under-reporting to improve the present road safety condition. The reason for comparing between DOH data and the police data is because they have rather the same characteristics of the data. They included the characteristics of site of crash, location of accident occurrence, date, time, probably cause, property damage and also number of person killed and injured. Conversely, the hospital data collect the case of severity, disability and death, but not providing the property damage. The proposed study establishes the amount of under-report accident data on DOH's highways and identifies the significant factors affecting under-reporting of accident data by using logistic regression techniques. It was identified as the most suitable approach and a set of sequential binary logistic regression models was developed to identify the influential factor. The result shows that 59.3 percent of under-reporting accident data was found from DOH data when comparing to the police accident data. In addition, four variables were found to affect under-reporting of DOH database. All these four variables, (District of Highways, number of fatality, number of serious injury and distance) have significant level at 5-10 percent and different trends were shown. It was found that the under-report data of District of Highway No.2 has 7.519 times higher than District of Highways No.1. As the distance increase by 1 kilometer the odds will promote the event under-reporting about 1.071 times by controlling other variables in the model. It was also found that the number of fatality and serious injury is unexpected to occur. As the number of fatality and serious injury increase by 1 person the odds will promote the event under-reporting by 3.973 and 9.734 times respectively by controlling other variables in the model. The contribution of this thesis is useful for the development of more accurate and reliable of the accident data collection process. More efficient and appropriate countermeasures can be used to identify the level of road safety problem and lead to developing correct prioritization of problems. |
| Year | 2008 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. TE-07-07 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Kunnawee Kanitpong |
| Examination Committee(s) | Pichai Taneerananon;Nakatsuji, Takashi |
| Scholarship Donor(s) | Royal Thai Government Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2007 |