Motorcyclists’ intention to exceed the speed limit on a 90 km/h road: Effect of the type of motorcycles

Eyssartier, Chloé; Meineri, Sébastien; Guéguen, Nicolas

doi:10.1016/j.trf.2016.12.009

Cited by 17 publications

(17 citation statements)

References 34 publications

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“…Researchers are encouraged to pursue such types of research for various reasons. The reasons include understanding the attitude of motorcyclists towards their safety in addition to the road’s safety, understanding why young motorcyclists are involved in several collisions [ 56 ], and reducing road accidents [ 51 , 76 , 153 , 157 , 170 , 180 , 184 ]. Another reason is to improve the driving performance of motorcyclists, identify the causes behind motorcycle accidents [ 50 , 157 ], promote road safety [ 25 , 38 , 54 , 76 , 94 , 121 , 152 , 154 , 185 , 186 ], reduce motorcycle fatalities [ 108 , 159 ], avoid accidents [ 51 , 110 ], and improve road safety education amongst all motorcyclists [ 53 , 99 ].…”

Section: Discussionmentioning

confidence: 99%

“…However, a few of them used a dataset obtained by specifying the associated features and analysing research issues based on statistical approaches. Other studies focused on interview methods ( n = 9/89 articles), where interviews were held with the aid of a questionnaire, administered using a probabilistic sample [ 58 , 74 , 75 , 76 ] online to collect a dataset for analysis [ 25 ]. a one-on-one interview survey [ 41 ] or face-to-face interviews [ 43 ].…”

Section: Taxonomymentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Abdulwahid

Mahmoud

Zaidan

et al. 2022

IJERPH

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With the continuous emergence of new technologies and the adaptation of smart systems in transportation, motorcyclist driving behaviour plays an important role in the transition towards intelligent transportation systems (ITS). Studying motorcyclist driving behaviour requires accurate models with accurate and complete datasets for better road safety and traffic management. As accuracy is needed in modelling, motorcyclist driving behaviour analyses can be performed using sensors that collect driving behaviour characteristics during real-time experiments. This review article systematically investigates the literature on motorcyclist driving behaviour to present many findings related to the issues, problems, challenges, and research gaps that have existed over the last 10 years (2011–2021). A number of digital databases (i.e., IEEE Xplore®, ScienceDirect, Scopus, and Web of Science) were searched and explored to collect reliable peer-reviewed articles. Out of the 2214 collected articles, only 174 articles formed the final set of articles used in the analysis of the motorcyclist research area. The filtration process consisted of two stages that were implemented on the collected articles. Inclusion criteria were the core of the first stage of the filtration process keeping articles only if they were a study or review written in English or were articles that mainly incorporated the driving style of motorcyclists. The second phase of the filtration process is based on more rules for article inclusion. The criteria of inclusion for the second phase of filtration examined the deployment of motorcyclist driver behaviour characterisation procedures using a real-time-based data acquisition system (DAS) or a questionnaire. The final number of articles was divided into three main groups: reviews (7/174), experimental studies (41/174), and social studies-based articles (126/174). This taxonomy of the literature was developed to group the literature into articles with similar types of experimental conditions. Recommendation topics are also presented to enable and enhance the pace of the development in this research area. Research gaps are presented by implementing a substantial analysis of the previously proposed methodologies. The analysis mainly identified the gaps in the development of data acquisition systems, model accuracy, and data types incorporated in the proposed models. Finally, research directions towards ITS are provided by exploring key topics necessary in the advancement of this research area.

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Section: Discussionmentioning

confidence: 99%

Section: Taxonomymentioning

confidence: 99%

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Abdulwahid

Mahmoud

Zaidan

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…The study examined the factors (i.e., the amount of explained variance of self-reported speeding behaviour, and the intentions to exceed the speed limit by at least 20 km/h) contributing to improving predictions of speeding behaviour intention. Eyssartier et al [27] studied the speeding behaviour of motorcyclists based on an TPB model. The results showed that the predictors exceeding the speed limit were different in different types of motorcycles.…”

Section: Speeding Violation Prediction Methodmentioning

confidence: 99%

Speeding Violation Type Prediction Based on Decision Tree Method: A Case Study in Wujiang, China

Cheng

Lü

et al. 2019

Journal of Advanced Transportation

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The speeding violation has become a key concern in the traffic safety management, as it increases the risk of traffic crashes, as well as the severity of these crashes. This uncivilized phenomenon is prominent and presents an increasing trend in Wujiang in recent years, which severely endangers the road traffic safety. This study is approved by the Traffic Police Brigade of Wujiang Public Security Bureau and aims to explore the characteristic of the speeding violation behaviour and attempt to make an effective prediction about it. This study proposes a speeding violation type (including type 1 and type 2) prediction method using electronic law enforcement data obtained from the public security administration of Wujiang. Before the prediction, a speeding violation influence factor analysis based on the binary logical regression model is proposed. The binary logical regression analysis identifies that the license plate, season, speeding area, position, and rainfall are the influence factors of Wujiang’s speeding violation. Then a decision tree method is used to predict the speeding violation type according to the influence factors, and from which the speeding violation situations can be determined. The prediction results demonstrate that under the hypothetical conditions, the high speeding violation level (i.e., type 2) tends to occur under high rainfall environment, and the foreign license plate and autumn present a larger probability of high speeding violation level than the local license plate and other seasons (i.e., spring, summer, and winter), respectively. Finally, a model comparison between the proposed method and other tree-based approaches is conducted. The comparison results show that the decision tree method outperforms other methods in prediction performance (including accuracy, precision, recall, and classification error), runtime, and ROC curve, which indicates that the decision tree method is feasible in predicting the speeding violation type of Wujiang. Based on the findings, the traffic managers can macroscopically grasp the speeding violation situation of the whole road networks, which can be referred for making the related polices and taking intervention measures.

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“…Motorcycles vary in design and performance; riders often select their bike according to riding preferences, price, trip purposes, etc. Eyssartier highlighted the difference between motorcyclists according to the type of motorcycle they ride (Eyssartier et al 2017). Certain papers studied death/crash rates according to motorcycle type.…”

Section: Motorcycle Typementioning

confidence: 99%

Risk factors for motorcycle loss-of-control crashes

Hours

Martin

2018

Traffic Injury Prevention

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Motorcyclists’ intention to exceed the speed limit on a 90 km/h road: Effect of the type of motorcycles

Cited by 17 publications

References 34 publications

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Speeding Violation Type Prediction Based on Decision Tree Method: A Case Study in Wujiang, China

Risk factors for motorcycle loss-of-control crashes

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