An integrated text mining, literature review, and meta-analysis approach to investigate pedestrian violation behaviours

Ghomi, Haniyeh; Hussein, Mohamed

doi:10.1016/j.aap.2022.106712

Cited by 15 publications

(6 citation statements)

References 140 publications

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“…In India, the violation commonly causes serious crashes (38). Moreover, it showed that pedestrian violations were one of the most dangerous behaviors that play a role in both the frequency and the severity of pedestrian collisions with vehicles (17).…”

Section: Resultsmentioning

confidence: 99%

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Investigating the behavior of pedestrians and related factors in northern Iran in 2021

et al. 2023

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Among all road users, pedestrian behavior is most unpredictable, and our knowledge of pedestrian behavior and compliance in northern Iran is limited. The aim of the study was to determine the self-reporting behavior of pedestrians and related factors in northern Iran in 2021. This cross-sectional study’s research tool included demographic characteristics, social characteristics, and a pedestrian behavior questionnaire (PBS – 43 questions). Data collection was randomly performed in 30 different passages around Rasht (a city in the north of Iran). We used the Poisson regression model and statistical software STATA version 15 for data analysis. With increasing age, pedestrians showed better crossing behavior ( p < 0.001, β = 0.202), and the behavior of female pedestrians was better than that of male pedestrians ( p < 0.001, β −4.79). As pedestrians, those with private jobs had worse crossing behavior than others ( p < 0.045, β = 9.380), and those pedestrians who mentioned they were motorcyclists before had worse crossing behavior than others ( p < 0.045, β = 9.380). The findings of this study can be used to establish pedestrian safety and preventative planning. In behavior change intervention programs, it is best to target young male pedestrians aiming to walk to their workplace, a private business. In addition, the behavior of pedestrians whose predominant means of transportation is the motorcycle must be corrected. It is necessary to conduct information campaigns and educational programs for pedestrians with common high-risk behaviors, especially errors and violations.

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Section: Resultsmentioning

confidence: 99%

“…A focus was placed on pedestrian distraction and walking speed. These are among the key factors that increase the likelihood of pedestrian violations (17). For pedestrian safety, behavior should be the center of attention (10).…”

Section: Research-article2023mentioning

confidence: 99%

Investigating the behavior of pedestrians and related factors in northern Iran in 2021

et al. 2023

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“…In general, pedestrian violations play a significant role in pedestrian-vehicle collisions’ frequency and severity. Accordingly, an analysis revealed that factors such as waiting time next to the street, traffic volume, walking speed, pedestrian distractions, bus stops, schools, and street parking are key factors increasing the likelihood of pedestrian violations [ 39 ].…”

Section: Discussionmentioning

confidence: 99%

The association between health literacy and pedestrian safety behavior among adults: a cross-sectional study

Zahedi,

Mohammadinia,

Dehghani

et al. 2024

BMC Public Health

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Introduction Pedestrians are considered the most vulnerable and complex road users as human behavior constitutes one of the fundamental reasons for traffic-related incidents involving pedestrians. However, the role of health literacy as a predictor of Pedestrian safety behavior remains underexplored. Therefore, the current study was designed to examine the level of health literacy and its association with the safety behavior of adult pedestrians in the city of Tabriz. Methods This cross-sectional analytical study was conducted among individuals aged 18 to 65 years in the metropolitan area of Tabriz from January to April 2023. Data were collected using the HELIA standard questionnaire (Health Literacy Instrument for adults), comprising 33 items across 5 domains (access, reading, understanding, appraisal, decision-making and behavior), as well as the Pedestrian Behavior Questionnaire (PBQ) consisting of 29 items. Data were analyzed using descriptive and analytical statistics (independent t-tests, ANOVA, and Pearson correlation coefficient) via SPSS-22 software. Results Based on the results, 94% (376 individuals) had excellent health literacy levels, and their safety behavior scores were at a good level. Health literacy and safety behavior were higher among the age group of 31 to 45 years, women, married individuals, those who read books, and individuals with higher education. However, safety behavior showed no significant association with education level (P > 0.05). There was a significant and positive relationship between health literacy and all its domains and pedestrian safety behavior (r = 0.369, P < 0.001). Conclusion This study underscores the significant impact of health literacy on pedestrians’ safety behavior. The findings reveal that higher levels of health literacy are associated with better safety behavior among individuals aged 18 to 63. Demographic factors such as age, gender, marital status, and education level also play a role in shaping both health literacy and safety behavior. By recognizing these relationships, interventions can be tailored to improve health literacy levels and promote safer pedestrian practices, ultimately contributing to a healthier and safer community in Tabriz city.

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“…More lanes, more heavy vehicles, and more traffic contribute to a reduced rate of pedestrian offenses in busy areas. 16 The traffic problem has spread continuously in urban areas due to population increases. A pandemic like COVID-19 and the growth of city distances have increased the growth of bikes and cars.…”

Section: Related Workmentioning

confidence: 99%

“…Many factors, such as lengthier waiting times before crossing, the presence of schools and bus stops, on‐street parking, lengthy crosswalks, lengthy blocks, and pedestrian distraction, are widely agreed upon as contributing to an increase in the incidence of pedestrian offenses. More lanes, more heavy vehicles, and more traffic contribute to a reduced rate of pedestrian offenses in busy areas 16 . The traffic problem has spread continuously in urban areas due to population increases.…”

Section: Related Workmentioning

confidence: 99%

Anomalous vehicle recognition in smart cities using persistent bloom filter: Memory efficient and intelligent monitoring

Kumar,

Singh

2023

Trans Emerging Tel Tech

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Globally, there is a rapid and significant change in the distribution of the urban population. Concerning which there is an increase in traffic rule violations in smart cities, resulting in traffic congestion and accidents. Anomalous vehicle recognition in smart cities is a critical issue that demands prompt and real‐time responsive solutions to address such situations. This article proposes an effective technique utilizing a persistent bloom filter to store and retrieve vehicle data, to improve road safety in urban locations. The technique employs distinct bloom filters to store vehicle data based on the hour, day, month, and year, which enables effective temporal membership queries on vast data. The proposed approach of anomalous vehicle recognition in smart cities using a persistent bloom filter is a memory‐efficient and intelligent monitoring technique. According to experimental analysis on large datasets such as “Montgomery County 911 Calls", “EMS and Fire Calls", “Seattle Fire Dept: 911", and “Traffic Violations in Montgomery County", the approach has the potential to boost query efficiency by up to 80% in comparison to conventional methods, in addition to decreasing storage space demands by up to 60%. The proposed approach has the potential to bridge the gap between research and practice in the field of urban safety and to enhance road safety while considering the dynamic changes in the road network. Employing traditional approaches to detect violations and monitor real‐time changes in a vast dataset of vehicles can be a laborious undertaking. The proposed technique provides a reliable and efficient approach to handling big data and improving traffic safety in smart cities.

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An integrated text mining, literature review, and meta-analysis approach to investigate pedestrian violation behaviours

Cited by 15 publications

References 140 publications

Investigating the behavior of pedestrians and related factors in northern Iran in 2021

Investigating the behavior of pedestrians and related factors in northern Iran in 2021

The association between health literacy and pedestrian safety behavior among adults: a cross-sectional study

Anomalous vehicle recognition in smart cities using persistent bloom filter: Memory efficient and intelligent monitoring

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