Using HLM to investigate the relationship between traffic accident risk of private vehicles and public transportation

2019 ◽  
Vol 119 ◽  
pp. 148-161 ◽  
Author(s):  
Tzu-Ying Chen ◽  
Rong-Chang Jou
Author(s):  
SoonYeol Lee ◽  
SoonChul Lee

The present study was conducted to determine the effects of driving stress on traffic accident risk. Specifically, the study verified whether a driver's speed desire frustration plays a control role in the relations between driving stress and traffic accident risk. As a result, a driver's speed desire frustration level played a control role in the relation between driving stress and traffic accident risk. This indicates that a driver's speed desire frustration level change driving stress sensitivities, thus changing the effects of selecting coping behavior types and causing differences in total traffic accident risk. The results show that the mere concentration on driving stress management cannot sufficiently lower the traffic accident risks caused by driving stress. This is because driving stress have indirect influences on traffic accident risk. Hence, it will be necessary to seek how to reduce driving stress and control coping behavior types in order to lower the traffic accidents risk by the stress.


Author(s):  
Soonyeol Lee ◽  
Soonchul Lee

The present study was conducted to determine the effects of driving stress on traffic accident risk. Specifically, this study verified the effects of driving stress on drivers' coping behaviors and the aptitude of mediating models through which coping behavior types affect traffic accident risk. As a result, driving stress directly increased traffic accident risk and indirectly affected them through(good and bad) coping behavior types. This indicates that driving stress directly and indirectly affect traffic accident risk by the medium of(good and bad) coping behavior types in multilateral ways.(Commercial and leisure-purposed) driving purposes showed significant differences in the relations between driving stress and traffic accident risk. Specifically, commercial drivers were affected by driving stress, compared to leisure-purposed drivers. As they were unable to defer or abandon driving even under driving stress, commercial drivers responded to the stress more sensitively and increased traffic accident risk by selecting inappropriate(bad) coping behaviors. The results show that the mere concentration on driving stress management cannot sufficiently lower the traffic accident risks caused by driving stress. This is because driving stress have indirect influences on traffic accident risk. Hence, it will be necessary to seek how to reduce driving stress and control coping behavior types in order to lower the traffic accidents risk by the stress.


2020 ◽  
pp. 0013189X2094950 ◽  
Author(s):  
Marc L. Stein ◽  
Julia Burdick-Will ◽  
Jeffrey Grigg

The challenge of a long and difficult commute to school each day is likely to wear on students, leading some to change schools. We used administrative data from approximately 3,900 students in the Baltimore City Public School System in 2014–2015 to estimate the relationship between travel time on public transportation and school transfer during the ninth grade. We show that students who have relatively more difficult commutes are more likely to transfer than peers in the same school with less difficult commutes. Moreover, we found that when these students change schools, their newly enrolled school is substantially closer to home, requires fewer vehicle transfers, and is less likely to have been included among their initial set of school choices.


2021 ◽  
Vol 11 (1) ◽  
pp. 592-605
Author(s):  
Melchior Bria ◽  
Ludfi Djakfar ◽  
Achmad Wicaksono

Abstract The impacts of work characteristics on travel mode choice behavior has been studied for a long time, focusing on the work type, income, duration, and working time. However, there are no comprehensive studies on the influence of travel behavior. Therefore, this study examines the influence of work environment as a mediator of socio-economic variables, trip characteristics, transportation infrastructure and services, the environment and choice of transportation mode on work trips. The mode of transportation consists of three variables, including public transportation (bus rapid transit and mass rapid transit), private vehicles (cars and motorbikes), and online transportation (online taxis and motorbike taxis online). Multivariate analysis using the partial least squares-structural equation modeling method was used to explain the relationship between variables in the model. According to the results, the mediating impact of work environment is significant on transportation choices only for environmental variables. The mediating mode choice effect is negative for public transportation and complimentary for private vehicles and online transportation. Other variables directly affect mode choice, including the influence of work environment.


2021 ◽  
Vol 30 ◽  
Author(s):  
Yi-Chun Liu ◽  
Vincent Chin-Hung Chen ◽  
Yao-Hsu Yang ◽  
Yi-Lung Chen ◽  
Michael Gossop

Abstract Aims Although the relationship between attention-deficit/hyperactivity disorder (ADHD) and transport accidents has been shown, there is limited information on the relationship between medication and dose–response effects and transport accident risk. This study aims to determine whether young people with ADHD, including adolescents, are more prone to transport accidents than those without, and the extent to which methylphenidate (MPH) prescription in these patients reduces the risk. Methods We identified 114 486 patients diagnosed with ADHD from Taiwan's National Health Insurance Research Database from 1997 to 2013. Using a Cox regression model, we compared the risk of transport accidents between ADHD and non-ADHD groups and estimated the effect of MPH on accidents. Furthermore, we applied a self-control case-series analysis to compare the risk of accidents during the medication periods with the same patients' non-medication periods. Results Male ADHD patients had a higher risk of transport accidents than non-ADHD individuals (adjusted hazard ratio [aHR] = 1.24, [95% confidence interval (CI) 1.10–1.39]), especially for those comorbid with epilepsy, oppositional defiant disorder/conduct disorder (ODD/CD), and intellectual disabilities (ID). Female ADHD patients showed no relationship, except for comorbid with autism spectrum disorder (ASD) or ID. We found a reduced risk of transport accidents in patients with ADHD with MPH medication than those without MPH, with a plausible dose–response relationship (aHR of 0.23 to 0.07). A similar pattern was found in self-controlled case-series analysis. Conclusions Male patients with ADHD, especially those comorbid with epilepsy, ODD/CD, or ID, were at high risk of transport accidents. Female patients, when comorbid with ASD or ID, also exhibited a higher risk of accidents. MPH treatment lowered the accident risk with a dose–response relationship.


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