Ahmed Sajid Hasan , Md.Arifuzzaman Nayeem , Deep Patel, Omar Al-Sheikh, Mohammad Jalayer
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This study seeks to synthesize existing research on global seat belt compliance behavior by examining contributing factors, advanced data collection methods, analytical techniques, and safety countermeasures. The goal is to identify research gaps and propose strategies to improve compliance and enhance road safety. 75 studies and relevant technical reports published between 2001 and 2023, sourced from databases such as Google Scholar, TRID, ScienceDirect, PubMed, Scopus, and Web of Science, were reviewed using a robust search and selection process. The review highlights that seat belt use is influenced by driver demographics, roadway design, trip features, and temporal factors. It highlights the methods used to collect and analyze seat belt use data, including observational surveys, roadside and in-vehicle cameras, and advanced machine learning techniques such as Convolutional Neural Networks. The analysis also emphasizes the effectiveness of the “3 E’s” approach—engineering, education, and enforcement. The findings demonstrated that the compliance rate across geographic regions varies because of the robustness of the 3E policy. 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引用次数: 0
摘要
不遵守安全带仍然是一个严重的全球问题,大大增加了交通碰撞中严重伤害和死亡的风险。尽管开展了广泛的宣传活动,并在安全方面取得了进步,但仍有相当数量的司机和乘客继续不受约束地出行。要解决这一问题,需要全面了解全球安全带合规性趋势、影响安全带使用的因素、收集和分析安全带合规性数据的持续做法,以及提高合规性的有效策略。本研究旨在通过考察影响因素、先进的数据收集方法、分析技术和安全对策,综合现有的全球安全带合规行为研究。目标是确定研究差距,并提出改善合规和加强道路安全的战略。2001年至2023年间发表的75项研究和相关技术报告,来自b谷歌Scholar、TRID、ScienceDirect、PubMed、Scopus和Web of Science等数据库,通过强大的搜索和选择过程进行了审查。该综述强调,安全带的使用受到驾驶员人口统计学、道路设计、旅行特征和时间因素的影响。它强调了用于收集和分析安全带使用数据的方法,包括观察调查、路边和车载摄像头,以及卷积神经网络等先进的机器学习技术。分析还强调了“3e”方法(工程、教育和执行)的有效性。研究结果表明,由于3E政策的稳健性,不同地理区域的合规率有所不同。本研究确定了当前研究中的差距,并提供了可操作的战略,通过创新的数据收集、分析和有针对性的干预措施,提高安全带的合规性,旨在加强全球交通安全。
Seat belt compliance behavior of drivers and passengers: A review of data collection, analysis, contributing factors and safety countermeasures
Seat belt non-compliance remains a critical global issue, significantly increasing the risk of severe injuries and fatalities in traffic collisions. Despite widespread awareness campaigns and safety advancements, a substantial number of drivers and passengers continue to travel unrestrained. Addressing this issue requires a comprehensive understanding of the seat belt compliance trend across the globe, the factors influencing seat belt use, the ongoing practices to collect and analyze seat belt compliance data, and effective strategies for improving compliance. This study seeks to synthesize existing research on global seat belt compliance behavior by examining contributing factors, advanced data collection methods, analytical techniques, and safety countermeasures. The goal is to identify research gaps and propose strategies to improve compliance and enhance road safety. 75 studies and relevant technical reports published between 2001 and 2023, sourced from databases such as Google Scholar, TRID, ScienceDirect, PubMed, Scopus, and Web of Science, were reviewed using a robust search and selection process. The review highlights that seat belt use is influenced by driver demographics, roadway design, trip features, and temporal factors. It highlights the methods used to collect and analyze seat belt use data, including observational surveys, roadside and in-vehicle cameras, and advanced machine learning techniques such as Convolutional Neural Networks. The analysis also emphasizes the effectiveness of the “3 E’s” approach—engineering, education, and enforcement. The findings demonstrated that the compliance rate across geographic regions varies because of the robustness of the 3E policy. This study identifies gaps in current research and offers actionable strategies to improve seat belt compliance through innovative data collection, analysis, and targeted interventions aimed at enhancing global traffic safety.
期刊介绍:
Accident Analysis & Prevention provides wide coverage of the general areas relating to accidental injury and damage, including the pre-injury and immediate post-injury phases. Published papers deal with medical, legal, economic, educational, behavioral, theoretical or empirical aspects of transportation accidents, as well as with accidents at other sites. Selected topics within the scope of the Journal may include: studies of human, environmental and vehicular factors influencing the occurrence, type and severity of accidents and injury; the design, implementation and evaluation of countermeasures; biomechanics of impact and human tolerance limits to injury; modelling and statistical analysis of accident data; policy, planning and decision-making in safety.