Traffic Injury Risk Based on Mobility Patterns by Gender, Age, Mode of Transport and Type of Road

González-Sánchez, Guadalupe; Olmo-Sánchez, María Isabel; Maeso-González, Elvira; Gutiérrez‐Bedmar, Mario; Garcı́a-Rodrı́guez, A.

doi:10.3390/su131810112

Cited by 14 publications

(10 citation statements)

References 43 publications

(74 reference statements)

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“…As different works on gender difference in road traffic injuries reported, male users have higher risk of injuries [ 66 – 71 ] due to various reasons such as their higher exposure to driving, patterns of risky traffic behaviours, and so on. The current study also indicated the same pattern, especially the common proportion in Iran.…”

Section: Discussionmentioning

confidence: 99%

Psychometric properties of the 12-item WHODAS applied through phone survey: an experience in PERSIAN Traffic Cohort

Shahedifar

Sadeghi‐Bazargani

Asghari‐Jafarabadi

et al. 2022

Health Qual Life Outcomes

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Background Due to limited capability to function in post-injury daily life injury, survivors need to be reliably assessed without need to commute more than necessary. The key action is to determine the level of functioning difficulties. Having the opportunity of conducting a national post-crash traffic safety and health cohort study, we aimed to translate into Persian and assess the psychometric properties of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) through phone surveys six month post injury. Methods First, having World Health Organization permission, we tested the translation validity by forward translation, expert panel evaluation, back-translation, pre-testing and cognitive interviewing, and finalizing the Persian WHODAS. Then, through a psychometric study within a national cohort platform, the validity, reliability and applicability of the 12-item WHODAS was assessed through phone surveys. We included data of 255 road traffic injury patients enrolled from the cohort at six-month follow-up. The psychometric assessment (internal consistency reliability and stability reliability) was conducted on test–retest data of 50 patients with an average 7-day time span. An exploratory factor analysis tested the construct validity using extraction method of principal component factor and oblique rotation on data from 255 patients. Regarding the multiple criteria including an eigenvalue > 0.9, Cattell’s scree test, cumulative variance, and the theoretical basis, the minimum number of factors were retained. Data were analyzed using STATA statistical software package. Results The respondents were mostly male (81%), employed (71%), educated (87%), and with a mean age of 37.7(14.9). The Persian version had high internal consistency reliability (Cronbach’s α = 0.93) and excellent stability reliability (ICC = 0.97, 95% CI: 0.92–0.98). An exploratory factor analysis retained four factors defining 86% of all the variance. Factors of Self-care, Mobility, and Cognition were completely retained. Conclusions The brief Pesrian WHODAS 2.0 was highly reliable and valid to be applied through phone interviews post injury.

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Section: Discussionmentioning

confidence: 99%

Psychometric properties of the 12-item WHODAS applied through phone survey: an experience in PERSIAN Traffic Cohort

Shahedifar

Sadeghi‐Bazargani

Asghari‐Jafarabadi

et al. 2022

Health Qual Life Outcomes

View full text Add to dashboard Cite

show abstract

“…The common causes of road accidents are bad eyesight, slow human reaction, speeding, overtaking, negligence of vehicle maintenance, incorrect application of driving aids, driver's mental state and physical fitness, abuse of alcohol and drugs, fatigue, lack of education and training, the influence of religion believes, vehicle ownership, and use of charms as protection by drivers [2]. In addition to these factors, age and gender are also closely related to road accidents, according to González-Sánchez et al [3]. On the other hand, Machata [4] categorized the behavior risk model as problems experienced by road users in perceiving, accepting and controlling risk.…”

Section: Iot-based Vehicle Monitoring and Driver Assistance Systemmentioning

confidence: 99%

"IoT-Based Vehicle Monitoring and Driver Assistance System Framework for Safety and Smart Fleet Management"

Rudrusamy,

Teoh,

Pang

et al. 2023

IJIE

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Curbing road accidents havealways been one of the utmost priority of nations worldwide. In Malaysia, the Traffic Investigation and Enforcement Department reported that Malaysia’s total number of road accidents haveincreased from 373,071 to 533,875 in the last decade. One of the significant causes of road accidentsis the driver’s behaviors. However, to regulate drivers’ behavior by the enforcement team or fleet operatorsischallenging, especially for heavy vehicles. In our research, we have proposed the Internet of Things (IoT) scalability framework and its’ emerging technologies to monitor and alert driver’s behavioral and driving patterns to reduceroad accidents. To prove this work, we have implementeda lane tracking,and iris detection algorithm, to monitor and alert the driver’s behavior when the vehicle sways away from the lane, and to detect if the driver is feeling drowsy. We implemented electronic devices such as cameras, a global positioning system module, a global system communication module, and a microcontroller as the hardware for an intelligent system in the vehicle. We also appliedface recognition for person identification using the same in-vehicle camera and recorded the working duration for authentication and operation health monitoring. With the GPS module, we monitored and alerted against permissible vehicle’s speed accordingly. We integrated IoT on the system for the fleet centre to monitor and alert the driver’s behavioral activities in real-time through the user access portal. We have validated it successfully on Malaysian roads. The outcome of this pilot project ensuresthe safety of drivers, public road users, and passengers. The impact of this framework leads to a new regulation by the government agencies towards merit and demerit system, real-time fleet monitoring of intelligent transportation systems, and socio-economy such as cheaper health premiums. The big data can be used to predict the driver’s behavioral in the future.

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“…In modeling, this paper followed the methodology presented by Washington et al [34]. Equation (7) shows the relationship between crash severity level and the explanatory variables.…”

Section: Mixed Logit Model (Mxl)mentioning

confidence: 99%

“…Many researchers have studied the critical factors in crash severity [5][6][7][8] and some focused on the effect of lighting conditions on crash severity [9][10][11][12][13][14][15][16]. Table 1 illustrates a selection of research conducted in this field, making it clear that lighting conditions influence injury severity.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Crash Severity of Texas Two Lane Rural Roads Using Solar Altitude Angle Based Lighting Condition

et al. 2022

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Many studies have examined the impact of factors affecting accident severity in rural areas; however, little attention has been paid to different lighting conditions (LCs), and less to the detailed categories and precise determining of twilight. In this paper, solar altitude angle (SAA), as a basis for differentiating and categorizing LCs, is proposed to investigate explanatory variables in much greater detail. For each LC, namely, dark, twilight, dark lit (dark with street lights) and daylight, separate random parameter models are developed to investigate the impacts of some factors on crash injury severity data of 2017 and 2018 in two lane rural roads of Texas. The model estimation results indicated that different LCs have various contributing factors, indeed, to each injury severity, further stressing the significance of investigating crashes based on SAA. The key differences include crash location, marked lane, grade direction, no passing zone, shoulder width, weekday and collision type. The important findings were that developing artificial lighting at intersections and LED raised pavement markers on two lane rural roads could lead to enhanced road safety under dark LCs. Furthermore, increasing shoulder width in straight segments of two lane rural roads is important for decreasing severe injury in daylight conditions.

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Traffic Injury Risk Based on Mobility Patterns by Gender, Age, Mode of Transport and Type of Road

Cited by 14 publications

References 43 publications

Psychometric properties of the 12-item WHODAS applied through phone survey: an experience in PERSIAN Traffic Cohort

Psychometric properties of the 12-item WHODAS applied through phone survey: an experience in PERSIAN Traffic Cohort

"IoT-Based Vehicle Monitoring and Driver Assistance System Framework for Safety and Smart Fleet Management"

Analysis of Crash Severity of Texas Two Lane Rural Roads Using Solar Altitude Angle Based Lighting Condition

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