Abstract
This paper evaluated the impacts of various factors on theyoungcyclist's intention of aberrant crossing behaviors atintersections. Bicycles were classified into conventional bikes andelectric bikes (hereinafter referred to as e-bikes). Data were collectedfrom 374 participants in Nanjing, China. The hierarchical multiplelinear regressionanalysis was conducted to estimate the impacts ofvarious factor variables based on the theory of planned behavior (TPB).The results showed that three key traditional TPB variables includingattitudes, subjective norm, perceived behavioral control (PBC) accountedfor 50% of all variances in two scenarios plus the variables of pastbehavior with 3% of variance, conformity tendency in bikes scenario andanticipated affect with 1% of variance in e-bikes scenario constitutingtwo modified TPB model. Three key traditional TPB variables resulted inan abundant increase of 42% of thevariance in e-bikes, which is 6%higher than that in another scenario. The all selected predictingvariables accounted for 66% of variance for e-bikes and 60% for bikesin predicting the crossing intentions. The findings of this study canhelp come up with interventions and educations measures for aberrantcrossing behaviors based on the effect analysis of variables onintention.
Cite
CITATION STYLE
Zheng, Y., & Zhang, G. (2015). Evaluating the Impact of Factors on Young Cyclists’ Intention of Aberrant Crossing at Intersections in China Based on Theory of Planned Behavior. In Proceedings of the International Conference on Chemical, Material and Food Engineering (Vol. 22). Atlantis Press. https://doi.org/10.2991/cmfe-15.2015.106
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