Theory of Planned Behavior and Delivery Riders’ Red-light Running Behavior--Model

2020 ◽  
Author(s):  
Xiaoyan Shen ◽  
Fan Zhang ◽  
Huitao Lv ◽  
Shanshan Wei ◽  
Zhicheng Sun
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Red Light ◽  
Behavior Model ◽  
Red Light Running

scholarly journals Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Tianpei Tang ◽  
Hua Wang ◽  
Xizhao Zhou ◽  
Hao Gong
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Psychological Factors ◽  
Red Light ◽  
Equation Modeling ◽  
Predictive Utility ◽  
Red Light Running ◽  
Prototype Willingness Model ◽  
Behavior Change Interventions ◽  
Tpb Model

To date, electric bikers’ (e-bikers’) red-light running (RLR) behavior is often viewed as one of the main contributors to e-bike-related accidents, especially for traffic scenarios with high e-bike ridership. In this paper, we aim to understand e-bikers’ RLR behavior based on structural equation modeling. Specifically, the predictive utility of the theory of planned behavior (TPB), prototype willingness model (PWM), and their combined form, TPB-PWM model, is used to analyze e-bikers’ RLR behavior, and a comparison analysis is made. The analyses of the three modeling approaches are based on the survey data collected from two online questionnaires, where more than 1,035 participant-completed questionnaires are received. The main findings in this paper are as follows: (i) Both PWM and TPB-PWM models could work better in characterizing e-bikers’ RLR behavior than the TPB model. The former two models explain more than 80% (81.3% and 81.4%, respectively) of the variance in e-bikers’ RLR behavior, which is remarkably higher than that of the TPB model (only 74.3%). (ii) It is also revealed that RLR willingness contributes more on influencing the RLR behavior than RLR intention, which implies that such behavior is dominated by social reactive decision-making rather than the reasoned one. (iii) Among the examined psychological factors, attitude, perceived behavioral control, past behavior, prototype perceptions (favorability and similarity), RLR intention, and RLR willingness were the crucial predictors of e-bikers’ RLR behavior. Our findings also support designing of more effective behavior-change interventions to better target e-bikers’ RLR behavior by considering the influence of the identified psychological factors.

scholarly journals Predicting blood donation intentions and behavior among Australian blood donors: testing an extended theory of planned behavior model

Transfusion ◽  
2009 ◽  
Vol 49 (2) ◽  
pp. 320-329 ◽  
Author(s):  
Barbara M. Masser ◽  
Katherine M. White ◽  
Melissa K. Hyde ◽  
Deborah J. Terry ◽  
Natalie G. Robinson
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Blood Donors ◽  
Blood Donation ◽  
Behavior Model ◽  
Extended Theory ◽  
And Behavior

The Theory of Planned Behavior model and students' intentions to use bioenergy: A cross-cultural perspective

2016 ◽  
Vol 89 ◽  
pp. 627-635 ◽  
Author(s):  
Pradipta Halder ◽  
Janne Pietarinen ◽  
Sari Havu-Nuutinen ◽  
Sinikka Pöllänen ◽  
Paavo Pelkonen
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Cross Cultural ◽  
Behavior Model ◽  
Cultural Perspective
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