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Volume 9, Issue 1 (3-2023)
jhehp 2023, 9(1): 47-54 |
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Abbaspour A, Hajimiri K, Arghami S. Are Demographic Characteristics Able to Predict Risky Behaviors of Pedestrians?. jhehp 2023; 9 (1) :47-54
URL: http://jhehp.zums.ac.ir/article-1-573-en.html
URL: http://jhehp.zums.ac.ir/article-1-573-en.html
1- Department of Occupational Health and Safety Engineering, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.
2- Social Determinants of Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran; Department of Health Education and Promotion, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.
3- Department of Occupational Health and Safety Engineering, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran; Research & Technology Group of Road Traffic Injury Prevention (RTIP), Zanjan University of Medical Sciences, Zanjan, Iran.
2- Social Determinants of Health Research Center, Zanjan University of Medical Sciences, Zanjan, Iran; Department of Health Education and Promotion, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran.
3- Department of Occupational Health and Safety Engineering, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran; Research & Technology Group of Road Traffic Injury Prevention (RTIP), Zanjan University of Medical Sciences, Zanjan, Iran.
Abstract: (1460 Views)
Background: Despite the considerable health benefits of walking on human health, pedestrian traffic accidents seriously threaten people’s safety. Specifically, the risky behaviors of pedestrians may lead to dangerous situations while crossing the road. Few studies have examined the relationship between high-risk pedestrian behaviors and some of their characteristics. The present study aimed to investigate the risky behaviors of pedestrians and their relationship to some demographic variables while crossing the street.
Methods: This descriptive-analytical study was conducted among 700 pedestrians over 18 years old. Data were collected using the Pedestrian Violations Questionnaire (PVQ). Convenience sampling was done in areas with different socioeconomic levels. The data were analyzed by the SPSS version 16 using an independent t-test, one-way ANOVA, chi-square, and Fisher exact tests at a significance level of 0.05.
Results: The results indicated a significant relationship between risky pedestrian behaviors and demographic variables, including age, marital status, and education. However, there was no statistically significant difference between the risky behaviors of females and males and their involvement in accidents.
Conclusion: Pedestrian risky behaviors seem to be strongly correlated with age. Education can also be a predictor of risky behaviors.
Methods: This descriptive-analytical study was conducted among 700 pedestrians over 18 years old. Data were collected using the Pedestrian Violations Questionnaire (PVQ). Convenience sampling was done in areas with different socioeconomic levels. The data were analyzed by the SPSS version 16 using an independent t-test, one-way ANOVA, chi-square, and Fisher exact tests at a significance level of 0.05.
Results: The results indicated a significant relationship between risky pedestrian behaviors and demographic variables, including age, marital status, and education. However, there was no statistically significant difference between the risky behaviors of females and males and their involvement in accidents.
Conclusion: Pedestrian risky behaviors seem to be strongly correlated with age. Education can also be a predictor of risky behaviors.
Type of Study: Original Article |
Subject:
Occupational and Industrial Health
Received: 2023/01/19 | Accepted: 2023/02/27 | Published: 2023/03/11
Received: 2023/01/19 | Accepted: 2023/02/27 | Published: 2023/03/11
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