Mobile phone use while cycling: A study based on the theory of planned behavior

Jiang, Kang; Yang, Zhiwei; Feng, Zhongxiang; Yu, Zhenhua; Bao, Shan; Huang, Zhipeng

doi:10.1016/j.trf.2019.05.020

Cited by 50 publications

(23 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As proposed in H2, subjective norm and dependency intention could be influential factors in explaining the variation in teenagers’ MP dependency. The finding is consistent with previous findings that applied TPB to online shopping,58 education,60 gaming,62 excessive social network use,57 and MP use in different scenarios (i.e., mobile phone use while crossing the road, cycling and driving) 78–80. Liao et al (2007) studied continued use of e-services and found that subjective norm affected behavioral intention, which in turn affected actual behaviors 81.…”

Section: Discussionsupporting

confidence: 90%

“…Piazza et al (2019) found that subjective norm significantly predicted the intention to use mobile phone while crossing the street 79. Jiang et al (2019) and Holland and Rathod (2013) reported the significant effect of subjective norm on MP use while cycling and driving, respectively 78,82. However, other scholars have reported different results.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

<p>The Effect of Parental Phubbing on Teenager’s Mobile Phone Dependency Behaviors: The Mediation Role of Subjective Norm and Dependency Intention</p>

Liu¹,

Wang²,

Gu³

et al. 2019

PRBM

View full text Add to dashboard Cite

PurposeThe aims of this study were to examine (a) the effects of parental phubbing on teenagers’ mobile phone dependency and (b) the mediating roles of subjective norm and dependent intention of underlying this relationship.MethodsWe recruited 605 middle school students in Beijing, China and they completed the parental phubbing behaviors, subjective norm, dependency intention, and mobile phone dependency behavior questionnaires.ResultsThe results of the structure equation modeling revealed that parental phubbing behaviors significantly increased teenager’s mobile phone dependency behaviors in two indirect ways. First, parental phubbing reinforced teenagers’ mobile phone dependency intention, which in turn increased the likelihood of mobile phone dependency. Second, parental phubbing enhanced the tendency of parental mobile phone dependence norm perceived by teenagers, and thus reinforced their mobile phone dependency intention, ultimately increasing mobile phone dependency.ConclusionWe concluded that parental phubbing is a significant indicator of teenager mobile phone dependency and that mobile phone dependency intention plays a mediation role between them. In addition, the perceived parental mobile phone dependency norm played a mediation role between parental phubbing and mobile phone dependency intention and indirectly influenced the level of mobile phone dependency behaviors through the mediation effect of mobile phone dependency intention.

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

<p>The Effect of Parental Phubbing on Teenager’s Mobile Phone Dependency Behaviors: The Mediation Role of Subjective Norm and Dependency Intention</p>

Liu¹,

Wang²,

Gu³

et al. 2019

PRBM

View full text Add to dashboard Cite

show abstract

“…The stronger behavioral intentions people have, the more likely they would perform the behaviors [27]. The behavioral intentions in a particular manner are predictive of one's actual behaviors [11,28,29]. Furthermore, the extended TPB is useful in predicting driving intentions and behaviors, such as cycling [28], pedestrians' road crossing [30], and speeding [31].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Perceived behavioral control (PBC) refers to the degree of control over a particular behavior by perceived promotional or hindering factors in the process of behavior execution [28]. PBC indicates how difficult it is for an individual to perform the behaviors.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

Intention of Risk-Taking Behavior at Unsignalized Intersections Under the Connected Vehicle Environment

et al. 2021

View full text Add to dashboard Cite

With the rapid emergence of connected vehicle (CV) technologies, there is a shortage of research to understand CV technology's effect on drivers' risk-taking behavioral intentions. This paper aims to analyze driver responses to the real-time information by comparing their reactions to driving intentions between the CV and non-CV environments. A multi-group structural equation model (SEM) is employed to explore the heterogeneity in the relationships between behavioral intentions, attitudes, subjective norms, perceived behavioral control, and risk perceptions under the two different environments. This study reveals two key findings: 1) regarding driver responses to the theory of planned behavior (TPB) model, there are significant differences in attitudes and risk perceptions between the CV and non-CV environments; 2) irrespective of driving environments, risk-taking behavioral intentions are directly related to perceived behavioral control and risk perceptions. While intentions are directly related to attitudes but not associated with subjective norms under the non-CV environment. In contrast, intentions are directly related to subjective norms but not associated with attitude under the CV environment. The findings provide a theoretical basis for using TPB to evaluate CV technology's effects and understanding the differences between the CV and non-CV environments. INDEX TERMS Connected vehicles, Risky driving intentions, Structural equation model, Theory of planned behavior, Unsignalized intersections.

show abstract

The influence of personal and public health and smart applications on biking behavior in South Korea

Kim

Hall

2022

J of Consumer Behaviour

View full text Add to dashboard Cite

Bicycling is an important form of active transport that contributes to sustainability mobility as a result of its role in personal and public health and emissions reduction. The significance of which has grown since the COVID‐19 pandemic outbreak. However, biking studies have neglected, in theoretical terms, developing an understanding of why consumers bike. Therefore, this research designs and verifies an extended theory of planned behavior adding personal and public health and a moderator of perceived smart application usage to help explain such consumer behavior. This study is based on a digital survey of South Koreans who biked for leisure, tourism, and/or work, utilizing partial least squares‐structural equation modeling with multi‐group analysis and Fuzzy‐set Qualitative Comparative Analysis. Results revealed that personal health is most important to cyclists, followed by public health, attitude, and subjective norm. Interestingly, people with perceived high usage of smart applications for biking show stronger relationships between public health and attitude and perceived behavioral control and behavioral intention than low users. In contrast, individuals with perceived low usage of smart applications for biking reveal a stronger relationship between attitude and behavioral intention than high users. The high and low user groups of smart applications also distinctively differ in levels of cycling behavior. Consequently, this work offers several theoretical and managerial implications for research and practice.

show abstract

Mobile phone use while cycling: A study based on the theory of planned behavior

Cited by 50 publications

References 34 publications

<p>The Effect of Parental Phubbing on Teenager’s Mobile Phone Dependency Behaviors: The Mediation Role of Subjective Norm and Dependency Intention</p>

<p>The Effect of Parental Phubbing on Teenager’s Mobile Phone Dependency Behaviors: The Mediation Role of Subjective Norm and Dependency Intention</p>

Intention of Risk-Taking Behavior at Unsignalized Intersections Under the Connected Vehicle Environment

The influence of personal and public health and smart applications on biking behavior in South Korea

Contact Info

Product

Resources

About