Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China

Jing, Peng; Wang, Jing; Chen, Long; Zha, Qifen

doi:10.1080/03081060.2018.1407508

Cited by 17 publications

(22 citation statements)

References 36 publications

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“…According to the TPB, people act after they have formed a BI, which in turn is mainly predicted by attitude (ATT) towards a specific behavior; subjective norm (SN), which represents the expectations of other important people; and perceived behavioral control (PBC), which is the sense of being able to perform the desired action [ 15 , 18 ]. The TPB emphasizes psychological factors of related behaviors and is a universal model that could predict and explain various PEBs, such as pollution reduction intention [ 19 ], choice of travel mode [ 10 , 20 , 21 ], energy-saving behavior [ 22 , 23 , 24 ], use of alternative transportation [ 25 , 26 ], low carbon consumption [ 27 ] and so on. Many meta-analytic reviews have confirmed that individual BI and actual behavior can be well explained and predicted by the TPB [ 28 , 29 ].…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Young People’s Behavioral Intentions towards Low-Carbon Travel: Extending the Theory of Planned Behavior

2021

IJERPH

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With the rapid development of China’s economy and the rapid growth of the population, the demand for traffic is gradually changing from slow to fast, and the traffic congestion, air pollution, climate change and public health problems are becoming increasingly prominent. As residents’ willingness for low-carbon travel plays a crucial role in alleviating the problems caused by traffic, many studies pay attention to this aspect, but young people are still an obviously neglected group in the study of willingness for low-carbon travel. The novelty of this study lies in the extension of environmental concern and perceived moral obligation to the theory of planned behavior to explore the factors influencing young people’s low-carbon travel behavioral intention. The structural equation modeling is validated with a sample of 235 young respondents. The results show that attitude, perceived behavior control, environmental concern and perceived moral obligation have a significant positive correlation with young people’s low-carbon travel behavioral intention, while subjective norm has not. By revealing young people’s intention of low-carbon travel, this study could help to enhance the understanding of young people’s low-carbon travel choices, and could provide guidance for how to guide young people to choose low-carbon travel in the future.

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Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Young People’s Behavioral Intentions towards Low-Carbon Travel: Extending the Theory of Planned Behavior

2021

IJERPH

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“…One of these theories, TPB, shows strong behavioural prediction ability and is the most widely used theoretical framework [13] to predict and explain different pro-environment travel (PET) behaviour. Since it is still imperfect, several scholars have attempted to integrate TPB with individual habits, personality traits, anticipated feelings of regret, self-identity, descriptive norms, social norms [10,[14][15][16][17][18][19][20][21] and other variables that can dramatically improve its predictive ability. It is, therefore, unwise to apply TPB to specific behavioural studies without careful consideration.…”

Section: Expansion and Application Of The Theory Of Planned Behaviourmentioning

confidence: 99%

“…After TPB was put forward, many researchers questioned its adequacy, because the structure proposed in the theory may not be sufficient to fully explain people's intentions and actions. They suggested that variables could be added that were related to prediction and interpretation in order to improve TPB's prediction ability [10,[14][15][16][17][18][19][20][21]. Fishbein and Ajzen pointed out that many other research studies added new variables, such as social norms, moral norms, personal norms and others; these improved the model's prediction ability, but this has only been verified in the study of specific behaviour [49].…”

Section: Habitmentioning

confidence: 99%

Expanding the Theory of Planned Behaviour to Reveal Urban Residents’ Pro-Environment Travel Behaviour

et al. 2019

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Exploring the mechanism that influences the choice of urban public travel mode is an important policy research topic that can promote urban residents’ pro-environment travel (PET) behaviour and relieve the pressure on urban traffic and environmental problems. By expanding the theory of planned behaviour by considering the effects of the quality of public transport service and individual behaviour, this paper establishes a mixed PET behaviour model. Grounded theory is used to analyse data obtained from in-depth interviews, with the aim of determining the relationships among different attributes of the quality of public transport service and PET. An empirical examination in the form of a questionnaire was conducted in Changsha, China, to obtain the intensity and mechanism of various factors influencing pro-environment behaviour decision-making. The results reveal three new pieces of information. First, the influence of many psychological variables (except subjective norms) is consistent with the prediction results of the theory of planned behaviour (TPB), and the predictions of the model are accurate. More specifically, intention (0.535) and habit (0.354) are key factors in PET behaviour, while attitude (0.527) has the most significant effect on intention towards PET behaviour. Second, the perceived service quality of public transport has a direct and significant impact on intention towards PET behaviour. Satisfaction with public transport service quality exerts a mediating effect on perceived service quality and PET behaviour. More specifically, operation and management (0.808) and vehicle environment (0.809) have the most important influence on intention towards PET behaviour. Last but not least, the extent of the influence of PET behaviour varies based on travellers’ demographic characteristics. The driving age, income and ownership of private cars show the greatest impact. The perceived service quality of public transport and travellers’ social and economic characteristics all play roles in the psychology of travel decisions, and are associated with PET behaviour on several distinct levels. From the perspectives of passenger psychology, public transport service quality and personal attributes of passengers, this paper provides a scientific basis for decision-making in transportation systems and the formulation of traffic intervention strategies to promote voluntary public reductions in carbon-intensive travel behaviour.

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“…The results indicate that these three indicators were consistently associated with intentions. Analogously, Jing et al proposed an extended TPB to delve into the psychological factors caused by the effects of adults' cognition and behavioral habits, and explored the factors' relationship paradigm [14].…”

Section: Introductionmentioning

confidence: 99%

Extending the Theory of Planned Behavior to Explore the Influence of Residents’ Dependence on Public Transport

Chau

Weng

et al. 2021

IEEE Access

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The accurate depiction and understanding of the influence mechanism of residents' dependence on public transport (RDPT) is an important foundation for increasing the proportion of green trips and alleviating urban traffic congestion. To explore the influence mechanism of RDPT, this paper extends the theory of planned behavior (TPB) by introducing objective factors of attributes, environment, and travel characteristics. The agglomerative nesting clustering algorithm and multiple structural equation modeling (SEM) are then developed to identify the RDPT levels and analyze the influence relationships between the integrated influencing factors and RDPT based on travel survey data. The results indicate that the objective variables have indirect impacts on RDPT by influencing psychological variable attitudes, subjective norms and perceived control and travel intention. The residents' self-selection (RSS) effects of different clusters are all detected under normal conditions, and the environment on RDPT is still significant after controlling for this effect. The findings reflect that the influence mechanisms of the three SEMs for different clusters are distinct, unlike those of the baseline model, and distinctive observation variables have dissimilar explanatory abilities for the travel intention of different residents. Therefore, some beneficial policy implications are proposed for residents, especially those who retain low and relatively low public transport dependence levels, to increase public transport usage while reduce the car usage based on the significant findings.

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Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China

Cited by 17 publications

References 36 publications

Young People’s Behavioral Intentions towards Low-Carbon Travel: Extending the Theory of Planned Behavior

Young People’s Behavioral Intentions towards Low-Carbon Travel: Extending the Theory of Planned Behavior

Expanding the Theory of Planned Behaviour to Reveal Urban Residents’ Pro-Environment Travel Behaviour

Extending the Theory of Planned Behavior to Explore the Influence of Residents’ Dependence on Public Transport

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