Redirigiendo al acceso original de articulo en 22 segundos...
Inicio  /  Applied Sciences  /  Vol: 10 Par: 18 (2020)  /  Artículo
ARTÍCULO
TITULO

Assessing Significant Factors Affecting Risky Riding Behaviors of Motorcyclists

Wins Cott Goh    
Lee Vien Leong and Richard Jun Xian Cheah    

Resumen

This study was conducted in Malaysia, where motorcycle traffic accidents represent a high percentage of fatality among overall traffic accidents. Studies have shown that risk perception and positive outcome of risky riding behavior have a significant impact on a rider?s decision making. Therefore, this study is targeted at further understanding of Malaysian motorcyclists within the locality of their home country. A questionnaire survey was conducted to gather motorcycle rider?s information, together with their perception of the three factors mentioned above. A reliability test of the findings was analyzed using Cronbach?s Alpha, while a PCA analysis was conducted to determine the linear combinations that have maximum variance. Subsequently, a statistical model was constructed based on the latent variables? relations, the relation between the latent variables and observed variables, and also the hypothesis model. The model confirms that the positive affect of the risky behavior has a significant positive relationship with motorcyclists? risk behavior (estimate coefficient = 1.016). Findings in the model also show that older motorcyclists are less likely to take part in risky riding behavior while riding on the road, with an estimate coefficient of -0.037 and a negative relationship with positive affect (estimate coefficient = -0.032).

 Artículos similares

       
 
Massimiliano Pepe, Domenica Costantino and Vincenzo Saverio Alfio    
The aim of the paper is to identify a suitable method for assessing the deformation of structures (buildings, bridges, walls, etc.) by means of topographic measurements of significant targets positioned on the infrastructure under consideration. In parti... ver más
Revista: Infrastructures

 
Jiangtao Chen, Jiao Zhao, Wei Xiao, Luogeng Lv, Wei Zhao and Xiaojun Wu    
Given the randomness inherent in fluid dynamics problems and limitations in human cognition, Computational Fluid Dynamics (CFD) modeling and simulation are afflicted with non-negligible uncertainties, casting doubts on the credibility of CFD. Scientifica... ver más
Revista: Aerospace

 
Xin Tian and Yuan Meng    
The judicious configuration of predicates is a crucial but often overlooked aspect in the field of knowledge graphs. While previous research has primarily focused on the precision of triples in assessing knowledge graph quality, the rationality of predic... ver más
Revista: Algorithms

 
Pin-Hung Juan and Ja-Ling Wu    
In this study, we present a federated learning approach that combines a multi-branch network and the Oort client selection algorithm to improve the performance of federated learning systems. This method successfully addresses the significant issue of non... ver más
Revista: Algorithms

 
Valerii Kozlovskyi, Ivan Shvets, Yurii Lysetskyi, Mikolaj Karpinski, Aigul Shaikhanova and Gulmira Shangytbayeva    
The classification of the natural and anthropogenic destabilizing factors of a telecommunications network as a complex system is presented herein. This research shows that to evaluate the parameters of a telecommunications network in the presence of dest... ver más
Revista: Information