Accident; analysis and prevention
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A longitudinal study was conducted to investigate the effects of injury type and discharge placement on mortality, falls, hospital admissions, and changes in activities of daily living (ADLs) over a 12-month period among older fallers. Of 762 community-dwelling people aged 65 years or older who visited an emergency department (ED) of a general hospital in Taiwan due to a fall, 273 sustained a hip fracture, 157 had a vertebral fracture, 47 had a distal forearm fracture, 102 had a traumatic brain injury, and 183 had soft-tissue injuries. Results showed that, compared to patients with a soft-tissue injury, those with TBI had significantly higher risks of dying (rate ratio (RR)=3.59) and hospital admissions (RR=3.23) and better improvement in ADLs (1.93 points) at 6 months post-injury, and those who sustained a hip fracture (4.26 and 4.41 points), a vertebral fracture (3.81 and 3.83 points), or a distal-forearm fracture (2.80 and 2.80 points) had significantly better improvement in ADLs at 6 and 12 months post-injury. ⋯ In conclusion, among the five major fall injury types in older people, TBIs result in the highest risk of death and hospital admissions, while hip and vertebral fractures exhibited the largest improvement during the first year after injury. Additionally, nursing home care may be associated with increased risks of death and hospital admissions than home care. In addition to primary prevention of falls, further research to investigate mechanisms leading to TBIs during a fall is needed to facilitate effective secondary fall-prevention programs for older people.
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Text messaging while driving can be distracting and significantly increases the risk of being involved in a collision. Compared to freeway driving, driving in a tunnel environment introduces factors that may interact with driver attentional resources to exacerbate the effects of distraction on driving safety. With planning and design of the 18km Stockholm Bypass tunnel ongoing, and because of the potentially devastating consequences of crashes in long tunnels, it is critical to assess the effects of driver distraction in a tunnel environment. ⋯ Collectively, results imply that driver distraction in tunnels is associated with generally similar driving decrements as freeway driving; however, the potential consequences of these decrements in tunnels remain significantly more serious. Future research should attempt to elucidate the nature of any differential compensatory behavior in tunnel, compared to freeway, driving. In the meantime, drivers should be advised to refrain from text messaging, especially when driving in tunnels.
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Pedestrians on Delhi roads are often exposed to high risks. This is because the basic needs of pedestrians are not recognized as a part of the urban transport infrastructure improvement projects in Delhi. Rather, an ever increasing number of cars and motorized two-wheelers encourage the construction of large numbers of flyovers/grade separators to facilitate signal free movement for motorized vehicles, exposing pedestrians to greater risk. ⋯ After the construction of the grade separator, the waiting time of pedestrians at the starting point of crossing has increased and the correlation between waiting times and gaps accepted by pedestrians show that after certain time of waiting, pedestrians become impatient and accepts smaller gap size to cross the road. A Logistic regression model is fitted by assuming that the probability of road crossing by pedestrians depends on the gap size (in s) between pedestrian and conflicting vehicles, sex, age, type of pedestrians (single or in a group) and type of conflicting vehicles. The results of Logistic regression explained that before the construction of the grade separator the probability of road crossing by the pedestrian depends on only the gap size parameter; however after the construction of the grade separator, other parameters become significant in determining pedestrian risk taking behavior.
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Previous research on the theory of planned behavior (TPB) is characterized by cross-sectional tests of the model's proposed causal relationships. In the absence of effective experimental techniques for changing the TPB's cognitive antecedents, the present research aimed to provide a stronger non-experimental test of the model, using causal analyses of two-wave panel data. Two studies of driver behavior were conducted in which naturally occurring within-participant changes in TPB constructs were measured over time, and used to predict corresponding within-participant changes in both intentions and behavior. ⋯ Injunctive norm and perceived controllability did not predict intention or behavior-change. Additionally, direct (unhypothesized) relationships with behavior were found for affective attitude, descriptive norm and anticipated regret. The implications of the findings for theory and the development of effective behavior-change interventions are discussed.
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The objective of this paper is to develop crash estimation models at traffic analysis zone (TAZ) level as a function of land use characteristics. Crash data and land use data for the City of Charlotte, Mecklenburg County, North Carolina were used to illustrate the development of TAZ level crash estimation models. Negative binomial count models (with log-link) were developed as data was observed to be over-dispersed. ⋯ The coefficient for single-family residential area was observed to be negative, indicating a decrease in the number of crashes with an increase in single-family residential area. Models were also developed to estimate these crashes by severity (injury and property damage only crashes). The outcomes can be used in safety conscious planning, land use decisions, long range transportation plans, and, to proactively apply safety treatments in high risk TAZs.