WatchOut

Chin, Hyojin; Zabihi, Hengameh; Park, Sangkeun; Yi, Mun Yong; Lee, Uichin

doi:10.1145/3027063.3053188

Cited by 11 publications

(6 citation statements)

References 6 publications

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“…In the studies focusing on user feedback, the number of participants in the evaluation was limited. However, obtaining real-time information, managing distractions by putting a limitation on smartphone use, and receiving accident detection alerts and driving behavior feedback were perceived as significantly helpful by the users ( 12 , 13 , 22 , 39 , 54 ). Users had mentioned that they could buy the apps according to their reliability, price, and user-friendliness ( 22 ).…”

Section: Discussionmentioning

confidence: 99%

Functionalities of Mobile Solutions for Preventing Road Traffic Health and Safety Issues in the Context of Information Management Cycle

Aghayari,

Kalankesh,

Sadeghi-Bazargani

et al. 2023

Transportation Research Record: Journal of the Transportation R

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In the present study, researchers thoroughly analyzed the peer-reviewed literature on mobile solutions for road traffic health and safety issues with regard to their functionalities in the context of information management. A comprehensive review of papers reporting mobile solutions for road traffic health and safety was conducted using relevant eligibility criteria. Electronic sources were searched using a combination of keywords. To analyze the mobile solutions reported in the studies, the researchers deployed different aspects of the information management cycle and functionality of apps for preventing road traffic health and safety issues. Overall, 68 studies met the inclusion criteria and were included in the final analysis. A total of 72.1% of the studies reported using only the in-built sensors of smartphones in their solutions for data collection. Several processing approaches for the data were found, which can be referred to as threshold value setting, image processing, fuzzy logic, and decision tree. According to the finding, the highest percentage of processing techniques utilized in the mobile solutions belonged to threshold value setting technique (23.5%) followed by image processing technique (10.3%). The applications of mobile solutions in studies commonly include recording and providing feedback on driving behavior, real-time alerts for road conditions, accident detection, and drowsiness management. Finally, fulfilling these targets could affect humans, the physical environment, and the vehicle factors toward preventing road traffic health and safety issues. The domain researchers and developers of mobile solutions can revisit and enhance the functionalities with attention to the full cycle of information management, including data collection, data analysis, interventions, and data application in their initiatives.

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Section: Discussionmentioning

confidence: 99%

Functionalities of Mobile Solutions for Preventing Road Traffic Health and Safety Issues in the Context of Information Management Cycle

Aghayari,

Kalankesh,

Sadeghi-Bazargani

et al. 2023

Transportation Research Record: Journal of the Transportation R

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“…To date, there has been minimal empirical application of SCT to ascertain the extent to which it offers explanatory potential that can be reliably used to inform program and campaign planning as well as intervention design (Rakotonirainy et al . 2014; Chin et al . 2017).…”

Section: Literature Review and Hypothesis Formationmentioning

confidence: 99%

“…In driving and road safety contexts, the application of SCT is limited and focuses predominantly on social norms as a method to influence driving behaviour (Chin et al . 2017).…”

Section: Literature Review and Hypothesis Formationmentioning

confidence: 99%

“…SCT considers the relationships between these constructs as reciprocal and dynamic. To date, there has been minimal empirical application of SCT to ascertain the extent to which it offers explanatory potential that can be reliably used to inform program and campaign planning as well as intervention design (Rakotonirainy et al 2014;Chin et al 2017). SCT was applied in this study to identify determinants of behaviour.…”

Section: Literature Review and Hypothesis Formationmentioning

confidence: 99%

“…In driving and road safety contexts, the application of SCT is limited and focuses predominantly on social norms as a method to influence driving behaviour (Chin et al 2017). In this study, four constructs of the SCT (outcome expectation, attitudes, social norms and perceived barriers) were used to explain the context.…”

Section: Literature Review and Hypothesis Formationmentioning

confidence: 99%

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Reducing koala roadkill: a social marketing formative study

et al. 2023

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Context. Koalas are an Australian icon and their numbers are seriously declining. In some regions, a key threat to koalas is vehicle strikes. Therefore, understanding what might convince people to be more vigilant and willing to slow down in areas with high koala numbers is an important research undertaking. Aims. This study aims to use the wildlife value orientation (WVO) framework, a valuebased segmentation process, to extend conservation insight. It will do this by demonstrating the application of social cognitive theory (SCT), to investigate how wildlife beliefs can help in identifying worthwhile groups to target with wildlife conservation interventions. The findings of this study can be used to benefit koalas by assisting conservation planning efforts to decrease driving speed and promote positive changes in driving behaviour. Method. Data collection through intercept surveys was employed by convenience sampling in 2019. A total of 661 responses were collected from residents of a koala priority conservation area in Queensland, Australia. Respondents were asked about their wildlife values, beliefs, attitudes, norms, barriers, and intentions to slow down, while driving in a koala area. Four key groups were identified based on respondents' WVO (i.e. mutualists, pluralists, traditionalists and distanced) and multigroup structural equation modelling was conducted to understand group differences. Key results. The analysis identified several significant psychographic factors that influenced people's intentions to protect koalas dependent on what wildlife value respondents held. Injunctive norms were important, positively influencing the intention of traditionalists and pluralists to slow down while driving in a koala area. Individual attitude positively influenced safe driving intention for pluralists, while perceived barriers negatively influenced mutualists' intention to slow down. Other groups did not show similar results. Conclusion. A person's WVO can influence their intention to protect koalas by modifying their driving behaviour. Various social marketing approaches can benefit conservation strategies aimed at different WVO groups with targeted messages and interventions for each group. Implications. This paper demonstrates the value of SCT in explaining people's intention to slow down to protect koalas. The identification of group differences demonstrates that varied approaches are required to deliver behavioural change to benefit koalas.

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