1 research methods and models of driver behavior studies
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Research methods and models of driver behavior
studies
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Measures of crashes and injury rates
Number of injuries Not useful for making comparisons
Number of deaths Not useful for making comparisons
Fatalities per 10.000 vehicle A limitted measure because it omits non-motorized
transport Fatalities per 100.000 population Fatalities per vehicle-km traveled
Does not take into account non-motorized transport
Road traffic accident statistics from Turkey
In 2012, total of 1.296.636 car accidents happened in which 3750 people died and 268.102 people were injured in Turkey (EGM, 2013).
Road fatalities per 100.000 inhabitants per year was 12, and road fatalities per 100.000 motor vehicles was 97.1 in Turkey (Wikipedia, 2013)
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WHO, 2013
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Motorization and crash rates
Smeed’s law involvement of each vehicle in a fatal crash
decreases as the number of cars in a country increase. WHY?
factors which co-vary with the increasing (improvements in transportation infrastructure, higher urbanization etc.) motorization can explain this relationship
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Variables of interest in traffic safety research
Independent variable E.g., speed, alcohol intake
Dependent variable E.g., crash likelihood
Control variables Variables that can affect dependent variable
so their level should be constant E.g., education level, SES status
Variables of interest in traffic safety research
Confounding variables Variable that is not controlled or
manipulated but might affect the results E.g., exposure to traffic
Intervening variables Variable that intervenes between independent
and dependent variable E.g., phone use driving performance
accident
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Research methods in traffic pychology
Self-report methods Observational methods Labaratory research Instrumented vehicle studies Case-control studies
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Research methods in traffic pychology
Self-report method Includes questionnaires, inventories,interviews etc. Based on the self-reports of the subjects ADVANTAGES
easy to apply inexpensive provide more detailed information reach large number of people
DISADVANTAGES Forgetting past driving behavior Social desirability concerns..
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Research methods in traffic pychology
Observational studies Roaduser behavior is observed on the road Direct vs unobstrusive observation
Direct observation >researcher is visible to road users while making the observation
Unobstrusive observation> researcher is not visible to road users
Advantages Directt observation of the behaviors, no social
desirability bias Disadvantages
You can not observe every behavior, such as past accident involvement 10
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Research methods in traffic pychology
Laboratory research Digital simulation studies
Computer programs run a hypothetical situation
Advantage Experimenter has the complete control of the
situation Disadvantage
Generalizing the results from the lab to real world is limitted
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Research methods in traffic pychology
Driving simulator studies How valid are the
results of the driving simulator studies?
Research methods in traffic pychology
Instrumented vehicle studies
Detailed data related to road traffic safety can be collected
High validity!
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Research methods in traffic pychology
Case-control studies an epidemiological study design ‘ a sampling strategy in which the population
under study is selected based on the presense or absence of an event of interest (i.e., health, condition, disease, death) (Lazcano et al., 2001).
The aim is to identify causal factors of the events of interest by comparing characteristics of both groups (case and control group)
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Research methods
Validity of the studies Did the study actually measured the
thing it reportedly measure?
Are the findings stable and replicable in other studies?
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Research methods
Threats to the validity Biases in the reports of police accident
data Biases in self-reports Problems in stimulator studies
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Theories and models of driver behavior
Hierarchical decision making theories Based on the idea that driving requires hierarchical
decision making E.g., Janssen (1979) proposed a hierarchical system for
the driving decisions Strategic level
General planning (which route to choose, when to live etc.) Maneuvering level
Tactical/navigation level decisions (how to avoid obstacles, when to change lanes..)
Control level Mostly unconscious and include moment to moment actions
(accelerating, changing gears etc.)
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Theories and models of driver behavior
Attention and information processing models People have a limited attention capacity
Attention is allocated to multiple things when driving
Limited capacity human information processing model by Wickens (1992)
A limitted capacity model of driver information processing by Shinar (1978)
Limited capacity human information processing model by Wickens, 1992
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Theories and models of driver behavior
Rational decision making models Based on the idea that people are rational
decision makers but their rationality is biased in many ways
Sivak’s (2002) ‘bounded rationality’ application for driver behavior
people’s rationality is bounded or limitted in some situations so they modify their behaviors based on experience
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Theories and models of driver behavior
Rational decision making models Ajzen’s theory of planned behavior
Behavior is determined by intentions which are based on our attitudes, subjective norms, and perceived behavioral control
Attitudes – evaluation of the behavior Subjective norm – how the close other think about
engaging in a certain behavior Perceived behavioral control – perceived control
level on the behavior
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Theories and models of driver behavior
Theory of Planned Behavior (Ajzen, 1991)
Attitudes
Subjective Norm
Intention Behavior
PerceivedBehavioralComponent
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Theories and models of driver behavior
Motivational models Driver motivations are the key
determinants of the driving style and safety
We have different motivations for driving Mobility Minimizing risk
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Theories and models of driver behavior
Motivational models They emphasize the human motivation as the
key determinants of driving style and safety
E.g., Risk homeostasis theory (Wilde, 1998, 1992) People want to reduce risk to a non-zero level which
they can tolerate Target level of risk vs perceived level of risk
In order to improve safety in long run, target level of risk should be changed
Risk Homeostasis Theory, Wilde, 1998, 2002)
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Theories and models of driver behavior
Integrative models On-road behaviors are determined both by
motivational factors and information processing limits
Classification for aberrant behaviors by Reason et al. (1990) Driving violations
Deliberate actions that are considered to be unsafe. E.g., speeding, drinking and driving
Driving errors Failures of planned actions to achieve their intended
consequences. E.g., selecting a wrong lane, forgeting the place of your car in a car park