Analysis of driver behaviours towards road safety measures using DBQ in the Indian context

Gupta, Lokesh; Goswami, Shubham; Kumar, Rakesh

doi:10.5507/tots.2021.001

Cited by 15 publications

(12 citation statements)

References 33 publications

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“…Previous studies have highlighted the importance and effectiveness of self-protective measures such as helmets and protective clothing [58] in reducing crash-related fatalities. In addition, the policymakers should implement strict regulations for drivers driving underage or without a proper valid license, because unless the licensing procedure in India is regulated and closely monitored, the quality of the driver will be questionable [59]. Graduated driving license programmes for better driving skills that already exist in the European Union and Australia [60] are the need of the hour in a country such as India as well.…”

Section: Recommendationsmentioning

confidence: 99%

An Exploration of Characteristics and Time Series Forecast of Fatal Road Crashes in Manipal, India

et al. 2022

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Road crashes are the sixth leading cause of death in India. There has been a fourfold increase in the number of road traffic crashes in India in the last four decades and an increase of 9.8 times in the fatalities associated with that exponential increase. Manipal is a coastal place with a population of approximately 50,000 inhabitants lying in between the western Mountain range and the Arabian sea. The study’s objective is to explore the characteristics of fatal road crashes in Manipal from 2008–2018 using the data pertaining to fatal crashes retrieved from the office of the superintendent of police. Furthermore, it aims to forecast crashes by time series analysis prediction. The results show that most of the fatal crashes are due to exceeding the lawful speed limit, followed by driving under the influence of alcohol and going ahead and overtaking. The time series analysis forecasted the number of fatal crashes until the year 2025 and predicted that there will be an increase in the number of fatal road crashes by 4.5%. The results also provide essential leads for initiating specific intervention programmes targeting the causes of fatal road crashes.

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Section: Recommendationsmentioning

confidence: 99%

An Exploration of Characteristics and Time Series Forecast of Fatal Road Crashes in Manipal, India

et al. 2022

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“…Incorrect driver behavior at unsignalized intersections can impact vehicles on main roads and interfere with efficiency and safety (Zhang et al, 2016). A recent study using the Driver Behavior Questionnaire (DBQ) discovered that road users' personal characteristics and driving experience significantly influence offense, fault, and ignorance (Gupta et al, 2021). Farooq et al (2020) examine driver behavior in various countries using the Fuzzy Analytic Hierarchy Process (FAHP), concluding that violations are the most significant driver behavior in Turkey, Pakistan, and China.…”

Section: │mentioning

confidence: 99%

“…All these studies demonstrate that questionnaires can be used to examine driver behavior. Gupta et al (2021) proposes that qualitative studies be used in future research to understand drivers' thoughts and motivations better. As a result, field observation, questionnaires, and interviews will be used in this study to obtain an in-depth analysis of driver behavior in Indonesia.…”

Section: │mentioning

confidence: 99%

Evaluation of Driver Behavior when Crossing Unsignalized Intersection from Minor Road to Major Road

Aramita¹,

Maimunah²,

Purwanto³

et al. 2022

cset

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An example of aggressive driving behavior is the driver who immediately commits a violation when passing through an unsignalized intersection. Aggressive driving behavior may endanger other road users. Numerous studies have demonstrated that lowering aggressive driving behavior should lower the number of fatal and serious traffic accidents. Therefore, it is crucial to concentrate on the significance of driver behavior, especially at unsignalized intersections. The purpose of this study was to investigate drivers' understanding of appropriate behavior when crossing an unsignalized intersection from a minor road to a major road, to investigate the reasons for driver violations at such intersections, and to determine the relationship between cognitive and affective factors and drivers' behavior at such intersections. This study used observation, questionnaires, and interviews as the primary data-gathering methods. While the findings of the interviews were processed using Milles Huberman's theory, the questionnaire data were examined using multiple linear regression. The study's findings suggest that most drivers understand appropriate behavior while maneuvering from a minor to a major road; however, observational data reveals that 46.38% of drivers do not act on their understanding. Additionally, the driver's actions, such as feeling safe and being too indolent to stop the car, contributed to the infraction. The analysis's results also show that cognitive and affective elements favorably influence drivers' decisions at unsignalized intersections.

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“…The current study's findings have also generated evidence for the local authorities about the importance of strict law enforcement for traffic violations. In addition, the findings of the current study may be of value for decision-makers to implement strict regulations for motorcyclists riding underage or without a proper valid license because unless the licensing procedure in India is regulated and closely monitored, the quality of the rider will be questionable [22,41].…”

Section: Practical Implicationsmentioning

confidence: 99%

“…To this end, Elliot et al [15] developed the motorcycle rider behaviour questionnaire (MRBQ) based on the driver behaviour questionnaire (DBQ) that has been widely used, for example to assess driver behaviour in relation to crash involvement among truck drivers [17] and car drivers [20] in different countries. Studies show that participants who have a higher score on the DBQ are more likely to be involved in crashes in the past as well as in the future [21,22].…”

Section: Introductionmentioning

confidence: 99%

Risky motorcycle riding behaviour among young riders in Manipal, India

et al. 2021

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Background Motorcycles are one of the most commonly used transportation modes in low and middle-income countries. In India, motorized two-wheelers comprise 70% of the total vehicle population, and motorcycle users are considered the most vulnerable road users. It is essential to understand the risky riding behaviour and associated factors among the motorcyclists to develop evidence-based traffic safety programs targeting motorcycle riders. The purpose of the current study was two-fold. First, it aimed to determine the appropriate structure of a modified version of the MRBQ among young riders in Manipal, India. Second, it assessed to what extent MRBQ factors were associated with self-reported crash involvement and violations. Methods The motorcycle rider behaviour questionnaire (MRBQ) is a 43-item scale that assesses five aspects of risky motorcycle rider behaviour, i.e., violations, control errors, traffic errors, stunts, and protective equipment. The MRBQ, along with measures of socio-demographic variables and the number of motorcycle crashes, was filled out by 300 young motorcycle riders who were in the age group of 18–25 years and had been riding for at least the past three years (93% males, 92.3% students). Results Five factors emerged out of the MRBQ after an exploratory factor analysis: traffic errors, control errors, stunts, protective equipment, and violations. Cronbach’s alpha for these factors ranged from .66 to .82. Reports of performing stunts and committing violations were positively associated with self-reported near-crash experiences over the past three months. Riders reporting stunts, violations and using a motorcycle of 125-200 cc reported having received more fines in the last three months. These findings were confirmed in both univariate and multivariate binary logistic regression models. Conclusion The study assessed the factor structure of a modified version MRBQ and the extracted factors associations with self-reported crash involvement. The factor structure revealed in the current study is consistent with MRBQ factor structures found in other countries. However, the support for a relationship between MRBQ factors and self-reported crashes was less significant. The findings suggest that if replicated by future studies, local policymakers are advised to focus on the five MRBQ factors while planning future interventions to achieve a reduction in the number of road crashes among motorcyclists.

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Analysis of driver behaviours towards road safety measures using DBQ in the Indian context

Cited by 15 publications

References 33 publications

An Exploration of Characteristics and Time Series Forecast of Fatal Road Crashes in Manipal, India

An Exploration of Characteristics and Time Series Forecast of Fatal Road Crashes in Manipal, India

Evaluation of Driver Behavior when Crossing Unsignalized Intersection from Minor Road to Major Road

Risky motorcycle riding behaviour among young riders in Manipal, India

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