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A platform for research: civil engineering, architecture and urbanism
Assessing Self-Reported Risky Riding Behavior of Motorcyclists at Unsignalized Intersections for Sustainable Transportation
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.
Assessing Self-Reported Risky Riding Behavior of Motorcyclists at Unsignalized Intersections for Sustainable Transportation
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.
Assessing Self-Reported Risky Riding Behavior of Motorcyclists at Unsignalized Intersections for Sustainable Transportation
Lee Vien Leong (author) / Shafida Azwina Mohd Shafie (author) / Peng Kheng Gooi (author) / Wins Cott Goh (author)
2021
Article (Journal)
Electronic Resource
Unknown
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