Examining risky riding behavior in India using Motorcycle rider behavior questionnaire

Chouhan, Shivam Singh; Kathuria, Ankit; Sekhar, Chalumuri Ravi

doi:10.1016/j.aap.2021.106312

Cited by 31 publications

(24 citation statements)

References 17 publications

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“…Stephens et al (2017) found that stunt behaviour was linked to a higher risk of being involved in a crash. Chouhan, Kathuria and Sekhar (2021) explained that stunts had the lowest mean score out of the four categories assessed, implying stunt was the uncommon deviant riding behaviours found among Indian riders. Sumit et al (2021) reported that stunts were significantly linked to self-reported near-miss crash incidents and traffic fines paid in the previous three months.…”

Section: Stunt Factormentioning

confidence: 98%

“…Despite being uncommon behaviour, speed violations enhanced the risk of being involved in a near-miss crash among Australian MTW riders (Stephens et al, 2017). Chouhan, Kathuria and Sekhar (2021) concluded that speed violation had the highest mean score among the four categories (control error, traffic error, stunt and speed violation), indicating frequent erratic riding behaviours among Indian MTW riders. et al (2011) found that safety violation was the most frequently observed behaviour among Persian MTW riders.…”

Section: Speed Violationmentioning

confidence: 99%

“…It was also highlighted that traffic error was the most common aberrant riding behaviour among Vietnamese riders, and minimizing traffic error would greatly decrease traffic risks (Trung Bui, Saadi and Cools, 2020). Chouhan, Kathuria and Sekhar (2021) concluded that traffic error had the largest incidence rate ratio, indicating it as the most important predictor of crash risk probability for Indian MTW riders. Traffic error had high positive correlations with violations, control errors and stunts but was weaker and negatively associated with protective equipment.…”

Section: Traffic Errormentioning

confidence: 99%

“…According to Trung Bui, Saadi and Cools (2020), control errors were found to be significantly and strongly related to the overall number of MTW crashes and offences among Vietnamese riders. Chouhan, Kathuria and Sekhar (2021) observed that a rider's age has a major impact on control error behaviour; MTW riders aged above 40 years execute this activity more frequently than MTW riders aged below 40 years, and older male MTW riders may commit control errors more often than teenage or female MTW riders. The probability of riders committing control errors was found to be significantly higher for those who had previously paid fines for traffic violations compared to those who had not.…”

Section: Control Errormentioning

confidence: 99%

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Motorised two-wheeler Rider Behaviour Questionnaire: State of the Art

Krishnakishore¹

2022

European Transport/Trasporti Europei

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Motorised Two-Wheeler (MTW) ownership has increased worldwide, especially in emerging countries. The growing usage of MTW vehicles has resulted in several issues, one of the most serious of which is an increase in fatality rates. Therefore, it is essential to understand the MTW rider behaviour for a safe operation and minimise crash likelihood. Motorised two-wheeler Rider Behaviour Questionnaire (MRBQ) is one such survey instrument used for this purpose. In previous decades, many researchers have attempted to examine numerous factors related to the MRBQ survey in various countries. This study aims to review research papers that have examined various factors used in MRBQ studies from various nations and highlight state-of-the-art conclusions. In addition, the study emphasises the research gaps that are critical for factors related to rider behaviour that can be incorporated in the MRBQ survey. This review will benefit the researchers working in the area of MTW safety and MRBQ studies, as well as be useful to decision makers for analysis and policy implementation.

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Section: Stunt Factormentioning

confidence: 98%

Section: Speed Violationmentioning

confidence: 99%

Section: Traffic Errormentioning

confidence: 99%

Section: Control Errormentioning

confidence: 99%

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Motorised two-wheeler Rider Behaviour Questionnaire: State of the Art

Krishnakishore¹

2022

European Transport/Trasporti Europei

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“…Özkan et al (2012) and Sakashita et al (2014) developed a different method, a reliable tool to measure motorcyclist behaviour from the viewpoint of the motorcyclists themselves. A major benefit of this data collection method is the provision of a large variety of data to measure behavioural factors affecting motorcyclists' accident risk, in the form of reporting all motorcyclist errors, offences and traffic hazards (Chouhan et al, 2021). Motorcycle equipment and technologies that fundamentally change the characteristics and severity of accidents are also analysed (Motevalian et al, 2011).…”

Section: Factors Influencing Motorcycle Accidentsmentioning

confidence: 99%

Identification of motorcycle accidents hotspots in the Czech Republic and their conditional factors: The use of KDE+ and two‐step cluster analysis

Kraft

Marada

Petříček

et al. 2022

Geographical Journal

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In recent decades, there has been a significant increase in the number of newly registered motorcycles worldwide. However, there is not only an increase in the number of motorcycles in traffic but also an increase in the number of conflicts between motorcyclists and the surrounding environment. A relatively significant research gap can be identified in the relationship between spatial factors and motorcycle accident rates. This paper analyses the spatiotemporal patterns of motorcycle accidents and studies their underlying factors. The KDE+ method (an extension of the kernel density estimation method) is used to identify concentrations of motorcycle accident key hotspots. To study the underlying traffic accident determinants, a two‐step cluster analysis is used. The analysis is based on the database of motorcycle accidents in the Czech Republic from 1 January 2016 to 31 December 2020. The paper achieves a few main findings. By applying the KDE+ method, the most dangerous sections of the road network in the Czech Republic were identified, where a significant accumulation of motorcycle accidents occur. Motorcycle accidents are highly seasonal. Motorcycle accidents tend to accumulate in the afternoon, especially during the summer months. Concerning the frequency of accidents and the collective risk index, urban traffic, that is the traffic density, is an important cause of motorcycle accidents, along with the winter period with rather unfavourable weather conditions, and especially the directional conditions—curves and intersections—are among the hazardous sections.

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