An analysis of red light running behavior among motocyclists in Nakhon Ratchasima Province | |
| Author | Gamage, Hasitha Dilshani Dabare |
| Call Number | AIT Caps. Proj. no.CIE-13-07 |
| Subject(s) | Motorcyclists -- Thailand -- Nakhon Ratchasima Motorcyclists -- Accidents -- Thailand -- Nakhon Ratchasima Traffic accidents -- Thailand -- Nakhon Ratchasima |
| Note | A capstone project report submitted in partial fulfillment of the requirement for the Degree of Bachelor of Science in Engineering in Civil and Infrastructure Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. CIE-13-07 |
| Abstract | In most of the developed and developing countries, motorcyclists contribute to a major portion of the accidents. Especially accidents related to intersections. When considering Thailand, number of motorcycle accidents due to red light running has increased at a very high rate. Red light running occurs when motorists cross the stop line of an intersection to go through or to turn left, after the onset of yellow light. Several enforcement and engineering countermeasures has been taken in order to prevent red light running behavior among drivers, such as mounting red light cameras and charging expensive fines. But red light running rate has not dropped in a significant manner yet. Several researches have been done in order to determine the red light running characteristics among motorcyclists. But the behaviors are not fully understood. This research is another addition to the literature, which analyzes and evaluates the red light running characteristics of motorists in Nakong Rachchasima province in Thailand. As the preliminary step, data were collected in thirty three intersections; all the approaches of the intersection were recorded, three times a day during weekdays and weekends for one hour. After recording data, videos were reviewed again to collect data on red light running and yellow light running behavior among motorcyclists. Factors such as gender, age, helmet wearing, number of pillion passengers, motorcycle type were considered to determine the motorcyclist characteristics. Then the data sets were analyzed using binary logistic regression analysis method. This was performed using STATA 10.0 Analyzed results were as expected. According to the analyzed data; each and every factor has its negative or positive impact to the red light running behavior. According to the data, young age, male drivers who does not wear helmets and motorists who rides alone have more tendencies to run the red light. |
| Year | 2013 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. CIE-13-07 |
| Type | Capstone Project |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Civil and Infrastructure Engineering (CIE) |
| Chairperson(s) | Kunnawee Kanitpong;Vasin Kiattikomol; |
| Degree | Capstone Project (B.Sc.)-Asian Institute of Technology, 2013 |
| Contributor(s) | Heenpellage, Dhanushka Karunarathna Hewa |