Spanish Young Adults' Perceptions of the Costs and Benefits of Risky Driving Behaviors

2012 ◽  
Vol 15 (2) ◽  
pp. 638-647 ◽  
Author(s):  
Mandeep K. Dhami ◽  
Rocío García-Retamero

We used an open-ended survey to elicit Spanish young adults' perceptions of the benefits and drawbacks of speeding and not wearing a seatbelt (or helmet).Around half of the sample reported past engagement in these two risky behaviors, although forecasted engagement was low. Past and forecasted risk taking were positively correlated. Participants provided more drawbacks than benefits of each risky behavior. Drawbacks typically referred to a combination of behavioral acts and social reactions (e.g., accident, punishment) that occurred during the journey. By contrast, benefits largely referred to personal effects (e.g., save time, comfort) that occurred after the journey had ended (speeding) or during the journey (not wearing a seatbelt/helmet). These findings contribute to our theoretical understanding of young adults' risk taking on the road, and to the development of road safety programs.

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A79-A80
Author(s):  
N Murugan ◽  
C Sagong ◽  
A S Cuamatzi Castelan ◽  
K Moss ◽  
T Roth ◽  
...  

Abstract Introduction Drowsy driving is a common occupational hazard for night shift workers (NSWs). While sleep loss is commonly identified as the primary culprit of drowsy driving, another critical factor to consider is circadian phase. However, the role of circadian phase in driving safety has not been well characterized in NSWs. This study examined if dim light melatonin offset (DLMOff, i.e. the cessation of melatonin secretion) is also a relevant phase marker of susceptibility to four different subtypes of risky on-the-road driving behaviors. Methods On-the-road driving was monitored over 8 weeks via a mobile application that tracked risky driving behaviors using accelerometer and GPS data from cell phones (N=15; 3052 total driving events recorded). Risky driving behaviors included: 1) frequency of hard-braking events, 2) frequency of aggressive-acceleration events, 3) duration of excessive-speeding, and 4) duration of phone-usage. At week 2, participants spent 24 hours in-lab where hourly saliva samples were collected and assayed for melatonin, and DLMOff was calculated. Phase angle of driving events relative to DLMOff was used as the predictor in nested mixed-effects regressions, with risky driving behaviors as the outcome variables. Results The most common occurrences of risky driving were phone-usage and hard-braking. On average, NSWs had 46.7% and 42.0% of driving events with at least one occurrence of phone-usage and hard-braking, respectively. Rates of aggressive-acceleration and speeding were 24.4% and 20.4%. Positive phase angles (i.e. driving after DLMOff) were associated with reduced rates of hard-braking and aggressive-acceleration, but not of phone-usage and excessive-speeding. Specifically, rates of hard-braking and aggressive-acceleration decreased by 4.5% (p<.01) and 3.4% (p=.05) every two hours following DLMOff, respectively. Conclusion The study suggests DLMOff appears to be an important variable for predicting accident risk in NSWs. If replicated, circadian phase should be considered in recommendations to increase occupational health and safety of NSWs. Support Support for this study was provided to PC by NHLBI (K23HL138166).


2021 ◽  
pp. 107-110
Author(s):  
О.О. Марокко

В статье рассматриваются некоторые социально-психологические аспекты повышения эффективности социальной рекламы в области безопасности дорожного движения. Автором отмечено, что для достижения цели субъект пропаганды дол- жен осознать взаимосвязь между его индивидуальным поведением на дороге и надежностью всей системы жизнеобеспечения. The article discuses some of the socio-psychological aspects of increasing of social advertising in the field of road safety. The author notes that in order to achieve the goal, the subject of propaganda must aware of the relationship between his individual behavior on the road and the reliability of the entire life support system.


2015 ◽  
Vol 77 (29) ◽  
Author(s):  
Nassiriah Shaari ◽  
Aeni Zuhana Saidin ◽  
Asmidah Alwi

Road safety campaigns and programs have been extensively introduced and implemented in Malaysia. However, their effectiveness is still being debated. Children especially will become the unfortunate victims of road accidents if they are unaware of the danger and precaution actions to be safe on the road. In response to that, this paper introduces an application as an alternative that inculcates road safety awareness to further support existing related programs and campaigns. Particularly, an interactive web application incorporating interactive multimedia elements has been designed and evaluated. Results on the usability test indicate a promising success and highlight aspects and issues that can be further focused for improvement and enhancement. 


Author(s):  
Chaopeng Tan ◽  
Nan Zhou ◽  
Fen Wang ◽  
Keshuang Tang ◽  
Yangbeibei Ji

At high-speed intersections in many Chinese cities, a traffic-light warning sequence at the end of the green phase—three seconds of flashing green followed by three seconds of yellow—is commonly implemented. Such a long phase transition time leads to heterogeneous decision-making by approaching drivers as to whether to pass the signal or stop. Therefore, risky driving behaviors such as red-light running, abrupt stop, and aggressive pass are more likely to occur at these intersections. Proactive identification of risky behaviors can facilitate mitigation of the dilemma zone and development of on-board safety altering strategies. In this study, a real-time vehicle trajectory prediction method is proposed to help identify risky behaviors during the signal phase transition. Two cases are considered and treated differently in the proposed method: a single vehicle case and a following vehicle case. The adaptive Kalman filter (KF) model and the K-nearest neighbor model are integrated to predict vehicle trajectories. The adaptive KF model and intelligent driver model are fused to predict the following vehicles’ trajectories. The proposed models are calibrated and validated using 1,281 vehicle trajectories collected at three high-speed intersections in Shanghai. Results indicate that the root mean square error between the predicted trajectories and the actual trajectories is 5.02 m for single vehicles and 2.33 m for following vehicles. The proposed method is further applied to predict risky behaviors, including red-light running, abrupt stop, aggressive pass, speeding pass, and aggressive following. The overall prediction accuracy is 95.1% for the single vehicle case and 96.2% for the following vehicle case.


2018 ◽  
Vol 19 (12) ◽  
pp. 217-220
Author(s):  
Michał Rubach ◽  
Konrad Waluś

The appearance of slush on the road is determined by the intensity of precipitation, ambient temperature, surface and dew point temperature, atmospheric pressure and road traffic. The condition of slush (mixture of snow, ice, sand and chemicals such as salt) significantly affects the scope of road safety and the acceleration achieved in the driving processes. The agglomeration of slush in the space between the wheel and the wheel arches increases the resistance of the vehicle movement and increases the load on the suspension system and the steering. Excess snow and ice increases the risk of damage to these systems and may affect the steering and stability of the vehicle. The process of "deposition" of slush is particularly noticeable in environmental conditions with high humidity, and ambient and surface temperatures are below zero degrees Celsius. The article presents the idea of a system for removing slush from wheelhouse liners.


2016 ◽  
Vol 4 (1) ◽  
pp. 10-16
Author(s):  
Miloš Poliak ◽  
◽  
Štefánia Semanová ◽  
Peter Varjan

The paper deals with the issue of efficiency of financial support for public passenger transport from public funds from the perspective of improving road safety. The aim is to verify the hypothesis that financing public passenger transport from public funds is a significant tool to influence the number of passengers carried by individual automobile transport, and thus it can be a tool for influencing road safety in a particular territory. The first part of the paper analyses the sources for financial support of public passenger transport. The last part analyses possible impacts of financing public passenger transport on the road safety in relation to the specified hypothesis.


Author(s):  
Mekelleche Fatiha ◽  
Haffaf Hafid

Vehicular Ad-Hoc Networks (VANETs), a new mobile ad-hoc network technology (MANET), are currently receiving increased attention from manufacturers and researchers. They consist of several mobile vehicles (intelligent vehicles) that can communicate with each other (inter-vehicle communication) or with fixed road equipment (vehicle-infrastructure communication) adopting new wireless communication technologies. The objective of these networks is to improve road safety by warning motorists of any event on the road (accidents, hazards, possible deviations, etc.), and make the time spent on the road more pleasant and less boring (applications deployed to ensure the comfort of the passengers). Practically, VANETs are designed to support the development of Intelligent Transportation Systems (ITS). The latter are seen as one of the technical solutions to transport challenges. This chapter, given the importance of road safety in the majority of developed countries, presents a comprehensive study on the VANET networks, highlighting their main features.


2012 ◽  
Vol 23 (1) ◽  
pp. 71-82
Author(s):  
Kazimierz Jamroz

Abstract To ensure that road transport safety measures are effective and efficient, forecast tools should be applied to help with strategic decision-making. Models of road safety measures provide such tools. The paper presents a proposed macro model of road accident casualties. The proposed models of road accident fatalities are built from a database covering more than fifty countries worldwide. The concepts of model design can be used for developing factor-based models to describe strategic societal risk on the road networks of selected countries worldwide. One of the concepts was applied to model the number of road accident fatalities. The analyses used Smeed’s model and its modifications developed for the needs of this analysis.


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