Volume 22, Issue 4 (11-2023)
TB 2023, 22(4): 28-40 |
Back to browse issues page
Research code: 13314
Ethics code: IR.SSU.SPH.REC.1401.042
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Mazloomy Mahmoodabad S S, zeidabadi B, Rajabalipour M R. An Application of the Theory of Planned Behavior to Predict the Protective Behaviors from Urban Traffic Accidents. TB 2023; 22 (4) :28-40
URL: http://tbj.ssu.ac.ir/article-1-3469-en.html
URL: http://tbj.ssu.ac.ir/article-1-3469-en.html
Ph.D. Student in Health Education and Health Promotion , zeidabadi.b@gmail.com
Full-Text [PDF 825 kb]
(233 Downloads)
| Abstract (HTML) (324 Views)
Full-Text: (511 Views)
An Application of the Theory of Planned Behavior to Predict the Protective Behaviors from Urban Traffic Accidents
Seyed Saeed Mazloomy Mahmoodabad (Ph.D.(1, Batool zeidabadi (Ph.D.)2, Mohammad reza Rajabalipour (Ph.D.)3
1.Professor Department of Health Education and Health Promotion, Social Determinants of Health Research Cneter, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
2.Corresponding Author: Ph.D. Student in Health Education and Health Promotion, Department of Health Education and Health Promotion, Public Health School, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Email: Zeidabadi.b@gmail.com, Tel:09132479270
3.Ph.D. Student in Health Education and Health Promotion, Department of Health Education and Health Promotion, Public Health School, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abstract
Introduction: Iran has the highest annual fatality rate in traffic accidents among countries in the world. This study is designed to predict the protective behaviors of intra-urban traffic accidents based on the constructs of the theory of planned behavior (TPB).
Methods: This descriptive-analytic study was conducted in 2022 in Yazd city on 140 people with driver's license using stratified random sampling method. Data were collected through a questionnaire with three parts including demographic variables, evaluation of the TPB constructs, and assessment of socio-cultural factors of driving behaviors. Data analysis was performed by SPSS version 26 using one-sample t-test, Chi-square, and univariate linear regression tests.
Results: In this study, the mean age of subjects was 39/1 with a standard deviation of 11. Based on the results of the study, 33% of the variance related to protective driving behavior could be predicted with the variables included in the model. The constructs of behavioral intention (β=0/414, p<0/0001) and perceived behavioral control (β= 0/246 p= 0/003) were the determinants of protective behaviors in Yazd city drivers.
Conclusion: In the present study, the perceived behavioral control was the strongest predictor of protective behavioral intention in intra-urban driving. Sometimes, performing a behavior necessitates the acquisition of skills that a person lacks, and increasing perceived behavioral control can lead to improved driving skills. Therefore, TPB offers an effective theoretical framework for increasing the efficacy of traffic accident prevention initiatives.
Keywords: Planned Behavior, Traffic Accidents, Accidents, Protective Behavior, Driving
References
1-Hossien F, Atefeh D. Epidemiology of road traffic mortality and injuries in Yazd, Iran during 2003-2008. Chinese journal of traumatology. 2011;14(05):293-296. [Persian]
2-Kananikandeh S. The Survey of Determinants of the Accidents in Ahar-Tabriz Road in 2017: A Short Report. Journal of Rafsanjan University of Medical Sciences. 2019;18(8):849-858.
3-Qazimirsaeed A, Khosravi H, Rafieian M & etal. Walkability Policies in Developing Countries: What Do People Need and Prefer in Iran? Sustainability. 2022;14(17):108-08. [Persian]
4-Cabrera-Arnau C, Bishop SR. Urban population size and road traffic collisions in Europe. PLoS one. 2021;16(8):e0256485.
5-Argote-Aramendiz K, Molloy MS, Hart A & etal. Effect of road safety laws on deaths and injuries from road traffic collisions in Colombia. Prehospital and disaster medicine. 2020;35(4):397-405.
6-Hamzeh B, Najafi F, Karamimatin B & etal. Epidemiology of traffic crash mortality in west of Iran in a 9 year period. Chinese journal of traumatology. 2016;19(02):70-4.[Persian]
7-Nasiri N, Sharifi H, Rezaeian M& etal . Determining factors affecting deaths caused by traffic accidents in the south of Kerman Province. Iranian Journal of Epidemiology. 2019;15.(1).[Persian]
8-Zadeh KH, Sadegh R, Daliri S. Estimation of burden and caused by traffic accidents. Safety promotion and injury prevention (Tehran). 2016;4(4):253-260. [Persian]
9-https://www.amar.org.ir/. Off-road vehicle accidents resulting in death, injury and damage Statistics Office Iran: https://www.amar.org.ir/; 2020 [
10-Ehteshamrad S, Saffarzadeh M, Mamdoohi A & etal. Behavior of parents and children in the way they use public transport. A case study of Iranian households. Case studies on transport policy. 2022;10(1):454-462.[Persian]
11-Abaspor A, Kabiri T, Safakhah S & etal. Identification of accident-prone axes and root causes of road causes and Human Traffic Accidents on Highway 44 in Semnan Province. Semnan police knowledge quarterly. 2020. 110-78:(34).[Persian]
12-Shadkam N, Mahboub-Ahari A, Imani A & etal. Analysis of direct medical expenses resulting from road traffic injuries in the city of Tabriz. Archives of Trauma Research. 2017;6(4):69-75.[Persian]
13-Giummarra MJ, Beck B, Gabbe BJ. Classification of road traffic injury collision characteristics using text mining analysis: Implications for road injury prevention. PloS one. 2021;16(1):e0245636.
14-Damsere-Derry J, Palk G, King M. Road accident fatality risks for “vulnerable” versus “protected” road users in northern Ghana. Traffic injury prevention. 2017;18(7):736-743.
15-Hovden J, Albrechtsen E, Herrera IA, editors. A need for new theories, models and approaches to occupational accident prevention? Working on Safety Conference; 2008.
16-Taravatmanesh S, Hashemi-Nazari SS, Ghadirzadeh MR & etal. Epidemiology of fatal traffic injuries in the Sistan and Baluchistan province in 2011. Safety promotion and injury prevention (Tehran). 2015;3(3):161-168. [Persian]
17-Jafari MR, Vosoughi S, Abadi M & etal. Comparing road safety conditions in Iran with ten Southeast Asian countries using road safety index. Iran Occupational Health. 2017;14(5):118-129. [Persian]
18-Madah M, Rezai A, Mirfallah Nasiri N. Investigation of Statistics and Accidents and Road Fatalities. Statistical Centre of Iran: Tehran, Iran. 2020.[Persian]
19-Ashoogh M, Aghamolaei T, Ghanbarnejad A & etal. Utilizing the theory of planned behavior to Prediction the safety driving behaviors in truck drivers in Bandar Abbas 1392. Iranian Journal of Health Education and Health Promotion. 2013;1(3):5-14.[Persian]
20-Sadeghnejad F, Niknami S, Hydarnia A & etal. Using Extended Parallel Process Model (EPPM) to improve seat belt wearing among drivers in Tehran, Iran. Payesh (Health Monitor). 2016;(1): 11-103.[Persian]
21-Mazloumi MS, Mehri A, Morovati SMA& etal . Application of extended model of planned behavior in predicting helmet wearing among motorcyclist clerks in Yazd (2006). 2008. [Persian]
22-Leandro M. Young drivers and speed selection: A model guided by the Theory of Planned Behavior. Transportation research part F: traffic psychology and behaviour. 2012;15(3):219-32.
23-Warner HW, Åberg L. Drivers’ decision to speed: A study inspired by the theory of planned behavior. Transportation Research Part F: Traffic Psychology and Behaviour. 2006;9(6):427-33.
24-Haghdoost Z, Masoumi G, Moslehi S & etal. Design and psychometric evaluation of sociocultural scale predicting the incidence of road traffic crashes in drivers. Journal of injury and violence research. 2022;14(3).[Persian]
25-AmirKafi M. A study of effective factors on driving violations of the motorcyclists. Journal of Iranian Social Studies. 2014;8(2):5-36.[Persian]
26-Ajzen I. Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior 1. Journal of applied social psychology. 2002;32(4):665-83.
27-Ajzen I. The theory of planned behavior. Organizational behavior and human decision processes. 1991;50(2):179-211.
28-Moan IS. Whether or not to ride with an intoxicated driver: Predicting intentions using an extended version of the theory of planned behaviour. Transportation research part F: traffic psychology and behaviour. 2013;20:193-205.
29-Poulter DR, Chapman P, Bibby PA & etal. An application of the theory of planned behaviour to truck driving behaviour and compliance with regulations. Accident analysis & prevention. 2008;40(6):2058-64.
30-Bazargan-Hejazi S, Teruya S, Pan D & et al. The theory of planned behavior (TPB) and texting while driving behavior in college students. Traffic injury prevention. 2017;18(1):56-62.[Persian]
31-Fishbein M. An integrative model for behavioral prediction and its application to health promotion. 2009.
32-Conner M, Smith N, McMillan B. Examining Normative Pressure in The Theory of Planned Behavior: Impact of Gender and Passengers on Intentions to Break the Speed Limit. Planned Behavior: Routledge; 2017. 85-99.
33-Forward SE. Intention to speed in a rural area: Reasoned but not reasonable. Transportation research part F: traffic psychology and behaviour. 2010;13(4):223-32.
Seyed Saeed Mazloomy Mahmoodabad (Ph.D.(1, Batool zeidabadi (Ph.D.)2, Mohammad reza Rajabalipour (Ph.D.)3
1.Professor Department of Health Education and Health Promotion, Social Determinants of Health Research Cneter, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
2.Corresponding Author: Ph.D. Student in Health Education and Health Promotion, Department of Health Education and Health Promotion, Public Health School, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. Email: Zeidabadi.b@gmail.com, Tel:09132479270
3.Ph.D. Student in Health Education and Health Promotion, Department of Health Education and Health Promotion, Public Health School, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abstract
Introduction: Iran has the highest annual fatality rate in traffic accidents among countries in the world. This study is designed to predict the protective behaviors of intra-urban traffic accidents based on the constructs of the theory of planned behavior (TPB).
Methods: This descriptive-analytic study was conducted in 2022 in Yazd city on 140 people with driver's license using stratified random sampling method. Data were collected through a questionnaire with three parts including demographic variables, evaluation of the TPB constructs, and assessment of socio-cultural factors of driving behaviors. Data analysis was performed by SPSS version 26 using one-sample t-test, Chi-square, and univariate linear regression tests.
Results: In this study, the mean age of subjects was 39/1 with a standard deviation of 11. Based on the results of the study, 33% of the variance related to protective driving behavior could be predicted with the variables included in the model. The constructs of behavioral intention (β=0/414, p<0/0001) and perceived behavioral control (β= 0/246 p= 0/003) were the determinants of protective behaviors in Yazd city drivers.
Conclusion: In the present study, the perceived behavioral control was the strongest predictor of protective behavioral intention in intra-urban driving. Sometimes, performing a behavior necessitates the acquisition of skills that a person lacks, and increasing perceived behavioral control can lead to improved driving skills. Therefore, TPB offers an effective theoretical framework for increasing the efficacy of traffic accident prevention initiatives.
Keywords: Planned Behavior, Traffic Accidents, Accidents, Protective Behavior, Driving
References
1-Hossien F, Atefeh D. Epidemiology of road traffic mortality and injuries in Yazd, Iran during 2003-2008. Chinese journal of traumatology. 2011;14(05):293-296. [Persian]
2-Kananikandeh S. The Survey of Determinants of the Accidents in Ahar-Tabriz Road in 2017: A Short Report. Journal of Rafsanjan University of Medical Sciences. 2019;18(8):849-858.
3-Qazimirsaeed A, Khosravi H, Rafieian M & etal. Walkability Policies in Developing Countries: What Do People Need and Prefer in Iran? Sustainability. 2022;14(17):108-08. [Persian]
4-Cabrera-Arnau C, Bishop SR. Urban population size and road traffic collisions in Europe. PLoS one. 2021;16(8):e0256485.
5-Argote-Aramendiz K, Molloy MS, Hart A & etal. Effect of road safety laws on deaths and injuries from road traffic collisions in Colombia. Prehospital and disaster medicine. 2020;35(4):397-405.
6-Hamzeh B, Najafi F, Karamimatin B & etal. Epidemiology of traffic crash mortality in west of Iran in a 9 year period. Chinese journal of traumatology. 2016;19(02):70-4.[Persian]
7-Nasiri N, Sharifi H, Rezaeian M& etal . Determining factors affecting deaths caused by traffic accidents in the south of Kerman Province. Iranian Journal of Epidemiology. 2019;15.(1).[Persian]
8-Zadeh KH, Sadegh R, Daliri S. Estimation of burden and caused by traffic accidents. Safety promotion and injury prevention (Tehran). 2016;4(4):253-260. [Persian]
9-https://www.amar.org.ir/. Off-road vehicle accidents resulting in death, injury and damage Statistics Office Iran: https://www.amar.org.ir/; 2020 [
10-Ehteshamrad S, Saffarzadeh M, Mamdoohi A & etal. Behavior of parents and children in the way they use public transport. A case study of Iranian households. Case studies on transport policy. 2022;10(1):454-462.[Persian]
11-Abaspor A, Kabiri T, Safakhah S & etal. Identification of accident-prone axes and root causes of road causes and Human Traffic Accidents on Highway 44 in Semnan Province. Semnan police knowledge quarterly. 2020. 110-78:(34).[Persian]
12-Shadkam N, Mahboub-Ahari A, Imani A & etal. Analysis of direct medical expenses resulting from road traffic injuries in the city of Tabriz. Archives of Trauma Research. 2017;6(4):69-75.[Persian]
13-Giummarra MJ, Beck B, Gabbe BJ. Classification of road traffic injury collision characteristics using text mining analysis: Implications for road injury prevention. PloS one. 2021;16(1):e0245636.
14-Damsere-Derry J, Palk G, King M. Road accident fatality risks for “vulnerable” versus “protected” road users in northern Ghana. Traffic injury prevention. 2017;18(7):736-743.
15-Hovden J, Albrechtsen E, Herrera IA, editors. A need for new theories, models and approaches to occupational accident prevention? Working on Safety Conference; 2008.
16-Taravatmanesh S, Hashemi-Nazari SS, Ghadirzadeh MR & etal. Epidemiology of fatal traffic injuries in the Sistan and Baluchistan province in 2011. Safety promotion and injury prevention (Tehran). 2015;3(3):161-168. [Persian]
17-Jafari MR, Vosoughi S, Abadi M & etal. Comparing road safety conditions in Iran with ten Southeast Asian countries using road safety index. Iran Occupational Health. 2017;14(5):118-129. [Persian]
18-Madah M, Rezai A, Mirfallah Nasiri N. Investigation of Statistics and Accidents and Road Fatalities. Statistical Centre of Iran: Tehran, Iran. 2020.[Persian]
19-Ashoogh M, Aghamolaei T, Ghanbarnejad A & etal. Utilizing the theory of planned behavior to Prediction the safety driving behaviors in truck drivers in Bandar Abbas 1392. Iranian Journal of Health Education and Health Promotion. 2013;1(3):5-14.[Persian]
20-Sadeghnejad F, Niknami S, Hydarnia A & etal. Using Extended Parallel Process Model (EPPM) to improve seat belt wearing among drivers in Tehran, Iran. Payesh (Health Monitor). 2016;(1): 11-103.[Persian]
21-Mazloumi MS, Mehri A, Morovati SMA& etal . Application of extended model of planned behavior in predicting helmet wearing among motorcyclist clerks in Yazd (2006). 2008. [Persian]
22-Leandro M. Young drivers and speed selection: A model guided by the Theory of Planned Behavior. Transportation research part F: traffic psychology and behaviour. 2012;15(3):219-32.
23-Warner HW, Åberg L. Drivers’ decision to speed: A study inspired by the theory of planned behavior. Transportation Research Part F: Traffic Psychology and Behaviour. 2006;9(6):427-33.
24-Haghdoost Z, Masoumi G, Moslehi S & etal. Design and psychometric evaluation of sociocultural scale predicting the incidence of road traffic crashes in drivers. Journal of injury and violence research. 2022;14(3).[Persian]
25-AmirKafi M. A study of effective factors on driving violations of the motorcyclists. Journal of Iranian Social Studies. 2014;8(2):5-36.[Persian]
26-Ajzen I. Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior 1. Journal of applied social psychology. 2002;32(4):665-83.
27-Ajzen I. The theory of planned behavior. Organizational behavior and human decision processes. 1991;50(2):179-211.
28-Moan IS. Whether or not to ride with an intoxicated driver: Predicting intentions using an extended version of the theory of planned behaviour. Transportation research part F: traffic psychology and behaviour. 2013;20:193-205.
29-Poulter DR, Chapman P, Bibby PA & etal. An application of the theory of planned behaviour to truck driving behaviour and compliance with regulations. Accident analysis & prevention. 2008;40(6):2058-64.
30-Bazargan-Hejazi S, Teruya S, Pan D & et al. The theory of planned behavior (TPB) and texting while driving behavior in college students. Traffic injury prevention. 2017;18(1):56-62.[Persian]
31-Fishbein M. An integrative model for behavioral prediction and its application to health promotion. 2009.
32-Conner M, Smith N, McMillan B. Examining Normative Pressure in The Theory of Planned Behavior: Impact of Gender and Passengers on Intentions to Break the Speed Limit. Planned Behavior: Routledge; 2017. 85-99.
33-Forward SE. Intention to speed in a rural area: Reasoned but not reasonable. Transportation research part F: traffic psychology and behaviour. 2010;13(4):223-32.
Type of Study: Research |
Subject:
other
Received: 2022/11/8 | Accepted: 2023/03/5 | Published: 2023/11/11
Received: 2022/11/8 | Accepted: 2023/03/5 | Published: 2023/11/11
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
