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"The aim of this study was to examine and compare the psychological factors influencing driver speeding behavior in 3 cities in Southeast Asia, focusing on developing counties, using the Theory of Planned Behaviour (TPB). Data was collected from 570 respondents in the urban areas of Khon Kaen in Thailand, Vientiane in Laos and Phnom Penh in Cambodia. The psychological factors of TPB include attitude (AT), subjective norm (SN) and perceived behavioral control (PBC). These factors were employed to explain speeding intentions in urban road environments. The Structural Equation Models (SEM) was used to examine and explain speeding intentions. The results indicated that the TPB could explain the variance by intentions of drivers in Khon Kaen, Vientiane and Phnom Penh at 33%, 46%, and 84%, respectively. The most significant of the psychological factors for Khon Kaen drivers was determined by AT, while the speeding intentions of Vientiane drivers and Phnom Penh drivers were determined by PBC. From this data, the authorities of each city should create and implement safety policies that can improve these psychological factors, which could have a positive effect on drivers’speeding intentions in urban road environments. The outcome of this study could be useful for understanding the speeding attitudes of drivers in three different countries and would be beneficial for the development and introduction of preventative safety measures in these countries as well."

"The aim of this studywas to examine and compare the psychological factors influencing driverspeeding behavior in 3 cities in Southeast Asia, focusing on developingcounties, using the Theory of Planned Behaviour (TPB). Data was collected from570 respondents in the urban areas of Khon Kaen in Thailand, Vientiane in Laosand Phnom Penh in Cambodia. The psychological factors of TPB include attitude(AT), subjective norm (SN) and perceived behavioral control (PBC). Thesefactors were employed to explain speeding intentions in urban roadenvironments. The Structural Equation Models (SEM) was used to examine andexplain speeding intentions. The results indicated that the TPB could explainthe variance by intentions of drivers in Khon Kaen, Vientiane and Phnom Penh at33%, 46%, and84%, respectively. The most significant of the psychological factors for KhonKaen drivers was determined by AT, while the speeding intentions of Vientianedrivers and Phnom Penh drivers were determined by PBC. From this data, theauthorities of each city should create and implement safety policies that canimprove these psychological factors, which could have a positive effect ondrivers?speeding intentions in urban road environments. The outcome of thisstudy could be useful for understanding the speeding attitudes of drivers inthree different countries and would be beneficial for the development andintroduction of preventative safety measures in these countries as well."

"The aim of this study was to examine and compare psychological factors influencing car drivers’ and motorcycle riders’ speeding intentions (IN), using the Theory of Planned Behaviour (TPB). The psychological factors modules included Attitude (AT), Subjective Norm (SN) and Perceived Behavioural Control (PBC). These were employed to explain speeding intentions in urban road environments. A sample of 188 car drivers and 174 motorcycle riders were collected from the two universities within Khon Kaen, Thailand. The Structural Equation Model (SEM) was used to examine and explain speeding intentions. The results indicated that the TPB could explain 33% and 41% of the variance of intentions by car drivers and motorcycle riders, respectively. The most significant psychological factor for car drivers was determined by attitude (AT), while the speeding intention of motorcycle riders was attributed to perceived behavioural control (PBC). The authorities in Khon Kaen Province should determine safety policies that can improve these psychological factors, which could have various effects or outcomes on changing car drivers’ and motorcycle riders’ speeding intentions. The outcome of this study could help to understand car drivers’ and motorcycle riders’ speeding intentions in urban road environments and it could be useful for development of safety measures."

"Natural disasters can be very devastating for the victims, so that the sooner they get back to their daily life and routine the easier for them to overcome the traumatic event of the disasters..."