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Trans. Planning Journal

Title Modelling Motorcyclists’ Behavior of Idling Stop on Red Light Using Survival Analysis
Author Jiann-Sheng Wu, Yu-Yuan Hsiao and Yin-Chia Su
Summary   Aiming at the issues of global warming as well as energy saving and carbon reduction, we, in this study, investigate motorcyclists’ will to turn off the engine at a red light, and its influence factors by means of a questionnaire. Using the Cox proportional hazard model in survival analysis, we further modeled the relationship between them. The result shows that motorcyclists’ behavior of not idling at a red light is significantly influenced by six variables: global warming awareness, willingness to reduce air pollution by not idling, belief of ruling a non-idling stop by enforcement, belief of not idling by following other motorcyclists, age, and family population. As a whole, there appears to be a positive trend between relative risk and variables. The stronger the recognition of the environment, the higher the relative risk is, i.e. the higher the will to turn off the engine at a red light is. Nevertheless, the relative risk decreases by 1% as the age increases by 1 year. It depicts that the younger the motorcyclist is, the more he will accept the concept of not idling to save energy and reduce carbon. After further investigation, we find that the will to not idle will totally increase from 2.545% to 14.618%, if the recognition of environment can be escalated.
Vol. 40
No. 2
Page 161
Year 2011
Month 6
Count Views:526
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