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In Malaysia, as more than 50% of road collisions involve motorcyclists, the traffic safety of motorcyclists is critical and must be given priority. This study aims to understand the effects of attitudes, social influences, and control factors on the risky riding behavior of motorcyclists at unsignalized intersections in Malaysia. A motorcyclist-riding-behavior survey was conducted to collect and analyze the self-reported risky riding behaviors of motorcyclists. Three main analyses, namely, frequency and percentage, crosstabulation and test of independence (chi-squared), and logistic regression were adopted to assess the self-reported risky riding behavior and its correlation with outcomes, social influences, and factors. The obtained results show that negative outcomes (χ2 = 89.689, df = 54, p = 0.002) and negative social influences (χ2 = 32.554, df = 18, p = 0.019) are significantly associated with risky riding behavior, while control factors, inhibiting (χ2 = 66.889, df = 48, p = 0.037) and facilitating factors (χ2 = 96.705, df = 72, p = 0.028), have significant effects on risky riding behavior. A greater comprehension of motorcyclists’ risky riding behavior based on their self-reported risky riding behavior and beliefs can influence motorcyclists in making positive changes in their riding style.

A trip generation manual and database are important for transportation planners and engineers to forecast new trip generation for any new development. Nowadays, many petrol stations have fast-food restaurant outlets. However, this land use category has yet to be included in the Malaysian Trip Generation Manual. Therefore, this study attempted to develop a new trip generation model for the new category of “petrol station with convenience store and fast-food restaurant”. Significant factors influencing the trip generation were also determined. Manual vehicle counts at the selected sites were conducted for 3 h during morning, afternoon and evening peak hours. Regression analysis was used in this study to develop the model. A simple trip generation model based on the independent variable number of restaurant seats showed a greater value for the coefficient of determination, R2, compared with the independent variables gross floor area in thousand square feet and number of pumps. The multivariable trip generation model using three independent variables generated the highest R2 among all of the models but was still below a satisfactory level. Further study is needed to improve the model for this new land use category. We must ensure more accuracy in trip generation estimation for future planning and development.

This study on Malaysian motorcyclists was carried out due to the high fatality rate of motorcycle traffic accidents. A survey was conducted to assess demographic information, risky behavior engagement, positive affect, and risk perception among Malaysian motorcyclists. The results were analyzed using partial least square structural equation modeling to assess the survey’s reliability and validity. Consequently, a statistical model was created based on the hypothesis model where the relationship among each latent construct was evaluated, including risk perception, positive affect, risky behavior, and mediator personal characteristics. The model revealed that positive affect had the strongest positive relationship with the construct of risky behavior (t-value of 15.517), while the personal characteristics of the rider had a significant direct effect on risky behavior, with a t-value of 2.175. In addition, an indirect effect of personal characteristics on risky behavior through positive affect was also found to be significant (t-value = 3.885). These results concur with most studies conducted on motorist driving behavior showing that motorcyclist risky behavior engagement can potentially be reduced from the perspective of encouragement and empowerment instead of enforcement and deterrence. This study is important in identifying practical measures that can integrate road safety into a broader strategy for sustainable transportation.