Factors influencing the use of cellular (mobile) phone during driving and hazards while using it

This study addressed the strategic decisions on not using a mobile phone at all while driving, and phone-related driving hazards among those drivers who do use one, reflecting tactical and operational level processes. A representative sample of 834 licensed drivers who own a mobile phone were interviewed on their phone use and hazards, background factors, and self-image as a driver. Logistic regression models indicated that older age, female gender, smaller amount of driving, and occupation promoted not using a phone at all while driving. Additionally, low skill level and high safety motivation contributed to this decision. Among those who used a phone while driving, exposure to risk in terms of higher mileage and more extensive phone use increased phone-related hazards, as also did young age, leading occupational position, and low safety motivation. Neither gender nor driving skill level had any effect on such self-reported hazards. This study clearly indicates that potential risks of mobile phones are being controlled at many levels, by strategic as well as tactical decisions and, consequently, phone-related accidents have not increased in line with the use of the mobile phones.     

Driver hand-held mobile phone use and safety belt use

The purposes of the study were to identify hand-held mobile phone use trends for Michigan and to compare safety belt use between users and nonusers. Mobile phone and safety belt use was investigated by a direct observation survey of drivers at intersections in Michigan. Data were weighted to calculate mobile phone use and safety belt use rates statewide. The study showed 2.7% of Michigan drivers were using a mobile phone at any given daylight time. Safety belt use of current mobile phone users was significantly lower than those not using mobile phones.     

Cell phone conversing while driving in New Zealand: prevalence, risk perception and legislation

This study investigated (i) the prevalence of conversing on a cell phone while driving in New Zealand, (ii) respondents’ perception of risk regarding this behaviour and (iii) attitudes towards legislation banning cell phone use while driving. In addition, the study examined the association between the prevalence of conversing on a cell phone and risk perception. Anonymous, self-reported, survey data was collected via the internet from 1057 drivers nationwide regarding the frequency of conversing on a cell phone, including hands-free and hand-held conversing, risk perception, views on legislation, and demographic information. A positive relationship was found between the frequency of conversing on a cell phone and risk perception; that is, as the frequency of conversing on a cell phone increased, the perceived risk of this behaviour decreased.     

Mobile phone use among motorcyclists and electric bike riders: A case study of Hanoi,Vietnam

Motorcyclist injuries and fatalities are a major concern of many developing countries. In Vietnam, motorcycles are involved in more than 70% of all road traffic crashes. This paper aims to explore the prevalence and factors associated with mobile phone use among motorcyclists and electric bike riders, using a case study of Hanoi, Vietnam. A cross-sectional observation survey was undertaken at 12 sites, in which each site was surveyed during a two-hour peak period from 16:30 to 18:30 for two weekdays and one weekend day. A total of 26,360 riders were observed, consisting of 24,759 motorcyclists and 1601 electric bike riders. The overall prevalence of mobile phone use while riding was 8.4% (95% CI: 8.06–8.74%) with calling having higher prevalence than screen operation: 4.64% (95% CI: 4.39–4.90%) vs. 3.76% (95% CI: 3.52–3.99%) respectively. Moreover, the prevalence of mobile phone use was higher among motorcyclists than electric bike riders: 8.66% (95%CI: 8.30–9.01%) vs. 4.43% (95% CI: 3.40–5.47%) respectively. Logistic regression analyses revealed that mobile phone use while riding was associated with vehicle type, age, gender, riding alone, weather, day of week, proximity to city centre, number of lanes, separate car lanes, red traffic light duration, and police presence. Combining greater enforcement of existing legislations with extensive education and publicity programs is recommended to reduce potential deaths and injuries related to the use of mobile phones while riding.     

Cognitive load and detection thresholds in car following situations: safety implications for using mobile (cellular) telephones while driving

This study was aimed at investigating drivers’ ability to detect a car ahead decelerating, while doing mobile phone related tasks. Nineteen participants aged between 20 and 29 years, (2000–125 000 km driving experience) drove at 80 km/h, 50 m behind a lead car, on a 30 km section of motorway in normal traffic. During each trial the lead car started to decelerate at an average of 0.47 m/s² while the participant either looked at the car in front (control), continuously dialed series of three random integers on a numeric keypad (divided visual attention), or performed a memory and addition task (non-visual attention). The results indicated that drivers’ detection ability was impaired by about 0.5 s in terms of brake reaction time and almost 1 s in terms of time-to-collision, when they were doing the non-visual task whilst driving. This impairment was similar to when the drivers were dividing their visual attention between the road ahead and dialing numbers on the keypad. It was concluded that neither a hands-free option nor a voice controlled interface removes the safety problems associated with the use of mobile phones in a car.     

The contribution of passengers versus mobile phone use to motor vehicle crashes resulting in hospital attendance by the driver

There is evidence that mobile phone use while driving (including hands-free) is associated with motor vehicle crashes. However, whether the effects of mobile phone use differ from that of passengers in the vehicle remains unclear. The aim of this research was to estimate the risk of crash associated with passenger carriage and compare that with mobile phone use. A case-control study (‘passenger study’) was performed in Perth, Western Australia in 2003 and 2004. Cases were 274 drivers who attended hospital following a motor vehicle crash and controls were 1096 drivers (1:4 matching) recruited at service stations matched to the location and time and day of week of the crash. The results were compared with those of a case-crossover study (‘mobile phone study’) undertaken concurrently (n = 456); 152 cases were common to both studies. Passenger carriage increased the likelihood of a crash (adjusted odds ratio (adj. OR), 95% confidence interval (95% CI), 1.6, 1.1–2.2). Drivers carrying two or more passengers were twice as likely to crash as unaccompanied drivers (adj. OR 2.2, 95% CI 1.3–3.8). By comparison, driver's use of a mobile phone within 5 min before a crash was associated with a fourfold increased likelihood of crashing (OR 4.1, 95% CI 2.2–7.7). Passenger carriage and increasing numbers of passengers are associated with an increased likelihood of crash, though not to the same extent as mobile phone use. Further research is needed to investigate the factors underlying the increased risks.     

Shifting attention across near and far spaces: Implications for the use of hands-free cell phones while driving

In three experiments, participants performed two tasks concurrently during driving. In the peripheral detection task, they responded manually to visual stimuli delivered through a LED placed on the internal rear mirror; in the conversation task, they were engaged in a conversation with a passenger, or through earphone-operated, loudspeaker-operated, or hand-held cell phones. Results showed that drivers were slower at responding to the visual stimuli when conversing through a hand-held cell phone or an earphone-operated cell phone than when conversing through a loudspeaker-operated cell phone or with a passenger. These results suggest that due to the brain coding the space into multiple representations, devices that make phone conversations taking place in the near, personal space make drivers slower at responding to visual stimuli, compared to devices that make the conversation occurring in a far space.     

Associations between driving under the influence of alcohol or drugs,speeding and seatbelt use among fatally injured car drivers in Norway

Since 2005, all fatal road traffic crashes in Norway have been analyzed in-depth by multidisciplinary investigation teams organized by the Norwegian Public Roads Administration (NPRA). During the period 2005–2010, 608 drivers of cars or vans were killed in road traffic crashes. Blood samples were collected from 372 (61%) of the drivers and analyzed for alcohol and a large number of psychoactive drugs at the Norwegian Institute of Public Health (NIPH). After coupling the analytical results with the NPRA crash database, 369 drivers with a fatal outcome were identified and included. Alcohol or drug concentrations in blood above the legal limits were found in 39.8% of the drivers who were investigated for alcohol or drug impairment; 33.9% had blood alcohol concentrations above 0.5 g/L or concentrations of drugs above the equivalent Norwegian legal impairment limits or concentrations of amphetamines above 200 μg/L. Among drivers with a fatal outcome who had been impaired by alcohol or drugs, 64.6% were unbelted and 71.7% were speeding when the crash occurred; whereas 24.2% and 33.2% of the sober drivers were unbelted or speeding, respectively. Statistically significant associations were found between impairment by alcohol or amphetamines and driving unbelted or speeding. Excessive speeding is one of the main reasons for road traffic crashes and together with being unbelted the main reasons for a fatal outcome. This behavior might in many cases be due to increased risk-taking or negligence of safety measures as a result of alcohol or drug use.     

Security factors on the intention to use mobile banking applications in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM - with perceived cyber security,risk, and trust

The convenience and accessibility of mobile banking applications has resulted in this becoming the preferred method of banking in the UK. Although popular amongst a younger generation, uptake is significantly lower among the older generation of those aged 55+, with some attributing this to cyber security and privacy concerns.This study proposes a model that can be used to measure the influence of cyber security factors on intention to use mobile banking applications, in the UK 55+. The unified theory of acceptance and use of technology (UTAUT) model was modified to include perceived cyber security risk, perceived cyber security trust, and perceived overall cyber security. Unlike similar studies which have been solely quantitative, this research brings further insight using a mixed-methods approach which harnesses both qualitative and quantitative data.The research model was tested using partial-least-squares structural equation modelling on coded questionnaire data, collected from 191 participants. Qualitative data was analysed through a thematic analysis. Both sets of data were analysed using a final convergent mixed-method. The results show that performance expectancy followed by perceived cyber security risk are the main determinants of intention to use mobile banking applications in the UK 55+.     

Assessing the side-effects of ICT development: E-waste production and management: A case study about cell phone end-of-life in Manado,Indonesia

The rapid evolution of ICT devices, together with an increasingly wide spread of the Internet and features such as social networks, results in a tremendous increase in the number of discarded cell phones. While the number of cell phone users is increasing very fast in Indonesia, the fate of phones once they are not used anymore is largely unclear. This study aimed at obtaining an overview of E-waste management in Indonesia using a critical case study approach, assessing the cell phone life cycle. The study was carried out in Manado, a medium-sized provincial capital in Indonesia, which has received government awards for its waste management. Yet, the study found indications that E-waste is ending up in landfills, and that dedicated legislation and monitoring systems for E-waste were lacking. As a result, there was little take-back action by producers, consequently leading to a lack of user awareness regarding E-waste disposal. The problems the Indonesian government is facing are twofold: first, E-waste is smuggled into the country in the form of used devices; second, a large number of second-hand devices with unknown sources are circulating within the country uncontrolled. From the current number of subscribers, it is estimated that more than 9.500 tons of waste are produced annually in Indonesia from cell phones alone, and the amount is steadily increasing. While the current study focused on the life cycle of cell phones, the situation for other electronic devices is likely to be very similar. Sustainable management of E-waste generated from the use of cell phones as well as other ICT devices is required not only to provide economic benefits from recycling of the valuable substances they contain, but most importantly for environmental protection. The results of this study indicate that an incentive system should play a key role in any take-back system for cell phones.     

Individual difference factors in risky driving: the roles of anger/hostility, conscientiousness, and sensation-seeking

Motor vehicle crashes claim the lives of more Americans than any other cause of injury. One factor long recognized as relevant to predicting dangerous driver behavior is the driver's personality. This study examines the independent and combined roles of three personality traits--sensation-seeking, conscientiousness, and anger/hostility--in predicting risky driving behavior. Seventy-three participants completed personality and driving history questionnaires, and also engaged in a virtual environment (VE) task designed to assess risk-taking driving behavior. Each facet of personality was correlated to risky driving behavior in independent univariate analyses. In multivariate analyses, sensation-seeking emerged as the best predictor of self-reported driving violations. Anger/hostility and the interactive effect of anger/hostility by sensation-seeking also emerged in a multivariate analysis predicting one measure of self-reported driving violations. No personality trait predicted risky driving in the VE in multivariate analyses. Results are discussed with respect to previous work in the field, challenges involved in measuring the constructs of interest, and implications to prevention.