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Anish Khadka1
and Inhi Kim2
*
1
Southeast University-Monash University Joint Graduate School, China
2
Department of Civil Engineering Monash University, Australia
*Corresponding author: Inhi Kim, Department of Civil Engineering Monash University, Australia; Tel: Tel: +61- 3-9905-4240;
Email:
Submission: July 25, 2018; Published: August 17, 2018
Road Rage: Where to Go?
Review Article
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Copyright ยฉ All rights are reserved by Inhi Kim.
Volume - 2 Issue - 1
Introduction
Road rage is a deeply rooted social problem and has become a
common phenomenon among road users. Over 85% of New South
Wales (NSW) drivers interviewed reported of being a victim of var-
ious forms of road rage while this figure is even higher in Brisbane
with 95% [1]. Nine out of ten US drivers believe aggressive drivers
pose a threat to their personal safety while 78% of the drivers re-
port of engaging in aggressive driving at least once in 2014 AAAFTS
[2]. The fact that road rage and aggressive driving is rated above
drink driving as the biggest safety concern reveals the seriousness
of the issue. Road rage can be defined as any hostile act conducted
by a road user towards another road user on the roadway, including
parking lots. These acts involve extreme forms of aggression like
physically assaulting road users (both driver/passenger), vehicles
or both. Road rage has become an easy medium to express anger,
frustration, and the annoyance of everyday conflicts and disagree-
ments on situations arising both on and off the roadway due to
power, ease of escape, anonymity, and protection associated with
vehicles.
Aggressive driving refers to reckless or dangerous driving in
the absence of anger [3]. There is a thin line between aggressive
driving and road rage with the only difference being the intention
of the driver. Aggressive driving often results in discomfort to other
road users and vice-versa; acting as a stimulus for either driver to
engage in milder forms of aggression that escalates to road rage.
Some of the milder forms of aggressive driving behavior include
honking, cutting across lanes, tailgating, shouting/cursing, etc. The
perpetrators of obscene gestures are also found to be equally on the
receiving end of it. Hemenway et al. [4] reported that, of the 46%
of drivers making obscene gestures to other drivers, 42% of them
were found to be on the recipient end. These acts of aggressive driv-
ing and provocations reduce the road safety of both perpetrators
as well as victims. Among the different aggressive driving behavior,
speeding is considered as the most dangerous by NHTSA (National
Highway Traffic Safety Administration). It is stated that 1km/h in-
crease in mean traffic speed is associated with 3% increase in the
incidence of injury crashes [5]. It is reported that more than $250.8
million in hospital charges was incurred by aggressive driving-re-
lated inpatients in Ohio, 2004-2009 [6]. Smart & Mann [7] found
that road rage is often concealed as the cause of the accident with
evidence from Ontario (1998), where 57.8 % of fatal accidents in-
volved unknown or reckless driving practices.
In the past literature, road rage/ anger has been measured by
examining self-reported scales on how drivers express their anger
under different driving scenarios using different measures like
Propensity for Angry Driving Scale (PADS), Driving Anger Scale
(DAS), Driving Behavior Questionnaire (DBQ), Driving Vengeance
Questionnaire (DVQ), etc. As the construct definitions differ in each
scale; these measures are heterogeneous [8]. Further, the factor
structure of these questionnaires are found to vary across coun-
tries due to the cultural, environmental differences and also due to
different analytical methods used; researchers have grouped DAS
items into three factors in study conducted in the UK [9], six fac-
tors in the USA and Spain and five factors in France [9-12]. Leal &
Pachana [13] assessed the validity of Aus-PADS (Australian PADS)
using various scales like novaco anger scale, impulsivity score, and
venturesomeness score along with aggressive behaviors like yell-
ing, gesturing at others. Deffenbacher et al. [10] state anger while
driving as a situation-specific form of anger as it is influenced by
many situational factors while the intensity of anger depends on
both state and trait anger characteristics. As road rage and aggres-
sive behavior are closely related, driving anger expression ques-
tionnaire like DAX (Driving Anger Expression) along with sociode-
Keywords: Novaco anger scale; Sociodemographic; Probit model
Abbriviations: PADS: Angry Driving Scale; DAS Driving Anger Scale DBQ: Driving Behavior Questionnaire; DVQ: Driving Vengeance Questionnaire;
NHTSA: National Highway Traffic Safety Administration; TAS: Trait Anger Scale
Advancements in Civil Engineering
& Technology
C CRIMSON PUBLISHERS
Wings to the Research
ISSN 2639-0574
Adv Civil Eng Tech Copyright ยฉ Inhi Kim
2/4
How to cite this article: Anish K, Inhi K. Road Rage: Where to Go?. Adv Civil Eng Tech.2(1). ACET.000526.2018. DOI: 10.31031/ACET.2018.02.000526
Volume - 2 Issue - 1
mographic characteristics like gender, income, age, marital status,
education, etc., driving history like driving exposure (miles driven)
and crash-related factors are used in the road rage studies. Wells
Parker et al. [14] used driving behavior measure developed by
James & Nahl [15] with various items grouped together into three
main subscales; verbal/frustration expression, threatening/angry
driving, and direct contact/confrontation.
It is not surprising that most studies have found males, particu-
larly young to be more likely associated with aggressive driving and
traffic violations as compared to females due to their endorsement
of reckless and angry driving style with motivating factors like
sense of control, impression management, and thrill Gonzรกlez Igle-
sias et al. [16]; Sullman et al. [17]. Wells Parker et al. [14] reported
that road rage subscale score of males was twice as high as female
while young drivers (age<30yrs) scored 3.5 times higher than old
drivers (age>50yrs). Researchers have contrasting view on the risk
of aggression among females; Lonczak et al. [3] advocate that as the
likelihood of driving with children is higher among females, it might
lead to frustrations and distractions while driving and Rabasca [18]
suggest females might release their stress at home on the roads by
driving aggressively. It is evident that males and females differ sig-
nificantly in both physical and psychological aspects. Thus, some of
the driving situations that trigger aggressive driving behavior and
the intensity of anger experienced among males might not have the
same influence on females and vice-versa. Police presence is found
to trigger anger among males while femaleโ€™s anger is associated
with traffic obstruction [3,16,17]. Further, gender difference is also
found in how drivers express anger; males adopt overt aggressive
behavior like physical aggression while females adopt covert ag-
gressive behavior like verbal aggression [19].
Wickens et al. [20] studied the potential of gender as modera-
tor in understanding aggressive driving behaviors and accident risk
factors. Most of the predictive factors like demographic character-
istics and general risk factors were found to be consistent across
genders. The difference in impact of education and income across
gender is reported; risk of aggression is higher among females with
university degree while males with post-secondary education. In
case of salary, females with high-income level ($30,000-$49,999)
whereas males with medium income level (income<$30,000) were
found to be associated with higher risk of aggression. Regardless
of gender, aggression is found to be common among drivers en-
gaged in substance abuse like drink-driving, cannabis use, etc. and
suffering from depression anxiety. Particularly among females, a
strong positive association was found between driving anger and
drinking frequency whereas negative associated between driving
anger and drinking quantity [3]. DAS score was found to be unre-
lated to frequency of driving or exposure [21]. The presence of pas-
senger influences the driving style, behavior, and degree of anger
experienced for most drivers. However, the nature of the influence
is bound to vary; the presence of family members or aged people
generally has a calming effect while the presence of the passenger
of similar age promotes rash/aggressive driving [22-24].
The modern-day living is characterized by fast-paced lifestyle
and difficulties in attaining work-life balance. The stress, frustra-
tion, anxiety, and annoyance of such lifestyle is fuelled by the delays
resulting from traffic congestion; which more often increases the
likelihood of aggression that is reflected in the driving behavior.
Congestion was considered as the main cause of increasing road
rage by about 86% of NSW drivers. Wickens et al. [20] found ag-
gression to be prevalent among drivers reporting of stressful driv-
ing. Violations, like running red lights and honking abruptly, were
found to be associated with frustrations resulting from congestion
and delays [22]. Further, weather conditions associated with high
temperature is found to induce anger with drivers reacting aggres-
sively to stopped vehicles at the green light [25]. The horn latency,
duration, and frequency can be used to assess aggression in such
scenarios [26]. Shinar & Compton [24] conducted an observational
study and found that the frequency of aggressive behavior showed
a strong linear relationship with congestion. However, further
studying the relative risk of aggressive driving on delays associated
with weekend and weekday congestion, it was found to be insignif-
icant, highlighting that value of time is a determinant of aggressive
behavior rather than congestion. This finding is also supported by
Underwood et al. [27] Who did not find evidence of more anger ex-
perienced by the driver under high levels of congestion.
Road rage is found to be more common in urban areas as com-
pared to rural areas [4]. The odds of experiencing different forms
of road rage (milder or severe) is found to differ by regions [28].
Conner & Smith [6] reported that greater proportion of aggres-
sive driving in rural areas involved unsafe speed and following too
closely in urban areas. Pfeiffer et al. [29] carried out a study among
road rage victims at medico-legal center in Hamburg and reported
that 68.1% of cases involved physical violence while in more than
half of the cases involving objects utilized (31%) used vehicle as a
weapon. Positive correlation is found between road rage incidents
and use of high-performance vehicles [30]. Kaysi & Abbany [31]
developed a binary probit model to predict aggressive drivers at
un-signalized intersections using factors like sports car ownership,
young age, and speed of vehicles on the major street. The nega-
tive impact of gun culture and its sensitivity towards road rage is
evident from studies reporting positive correlations between the
presence of a gun in vehicle and aggressive or illegal driving be-
havior [4,32]. Drivers with drink-driving behaviors, past records of
accidents and tickets, and excessive speeding habit were found to
be associated with threatening/angry driving subscale. Benavidez
et al. [33] conducted a study on drug-dependent patients and found
that the percentage of patients involved in road rage (perpetrator
or victim) was significantly high as compared to general drivers as
well as drivers reporting drug use in the past year. Serious forms
of road rage like physical assault was found to be frequent among
cocaine and both cocaine and heroin-dependent patients.
Underwood et al. [27] carried out a study by considering both
questionnaires and diary approach to account for the fact that
many accidents and details are forgotten by the respondents. Fur-
ther, the author states that when considering crash involvement in
the study; near crashes are more advantageous than actual crashes
as their frequencies are comparable to the frequency of aggression
experienced by drivers and they are also reported to have a signifi-
3/4
How to cite this article: Anish K, Inhi K. Road Rage: Where to Go?. Adv Civil Eng Tech.2(1). ACET.000526.2018. DOI: 10.31031/ACET.2018.02.000526
Adv Civil Eng Tech Copyright ยฉ Inhi Kim
Volume - 2 Issue - 1
cant association. This finding is also supported by the study carried
out by Sullman et al. [17]. Most near crash scenarios were found to
be followed by anger, especially when the driver is not at fault. The
author states that low traffic density may provide more opportu-
nities for rash drivers to drive carefree as compared to high traffic
density, thus, increasing the chances of near accident and with it
the potentially aggressive situations as well. Further, hostile actions
and mild social deviance were found to be associated with both an-
ger and near-accident experience. This highlights how aggressive
and reckless driving behavior of other drivers can perpetuate road
rage among victims and cause a ripple effect. The form of retaliation
to offenderโ€™s reckless driving; direct (victim engaging in aggressive
driving behavior) or indirect (use laws like reporting to police to
punish offender) is found to depend on the level of seriousness of
the offense as well as trust and confidence in justice system [24].
With the ever-increasing auto ownership, the traffic demand
exceeds infrastructural supply. Parking facilities, especially in ur-
ban areas are limited and disputes over reserved parking spaces of-
ten escalate to verbal and even physical aggression among road us-
ers. Drivers driving with high beam lights on at night, especially in
highways lacking dividers separating opposing traffic movements
is a common act of discourtesy that provokes anger among drivers.
Among the anger-provoking driving situations in DAS, discourte-
sy is consistently rated as the highest in studies carried out among
drivers in UK, USA, New Zealand, Tukey, France, and Malaysia [17].
The likelihood of aggression over discourtesy was found to be sig-
nificant among novice and young drivers. Abdu et al. [35] conduct-
ed a study using driving simulator to analyze the causal relation-
ship between driving ability and state anger. The participants were
examined on both angry and normal state to analyze the difference
in driving behavior under different states. State anger was found to
increase risk-taking behaviors like exceeding speed limit instructed
and crossing yellow lights; however, it did not compromise skill of
the drivers (assessed by emergency maneuvers).
Apart from state anger, trait anger is a crucial aspect that gov-
erns the individualโ€™s propensity to become angry as well as the
intensity of anger. This characteristic differs among individuals as
some drivers have greater tendency to act aggressively towards
provocations and external situational factors of both minor as well
as major nature. TAS (Trait Anger Scale) is used to measure the
trait anger. It is found to be associated with frequent involvement
in crashes, aggressive driving, and anger towards other road users
[36]. Deffenbacher et al. [21] did not find the correlation between
trait anger and crash rates in their study, however, it was found to
be associated with various crash risk conditions like loss of concen-
tration, vehicular control, and close calls. Smoking is found to be
associated with greater crash risk due to distractions [3].
Road rage is a deeply rooted problem as it can be associated
with adolescence behaviors & upbringing to various situational fac-
tors. Taubman Ben Ari & Katz Ben Ami [37] examined the concept
of โ€œfamily climate for road safetyโ€ stating the importance of paren-
tal monitoring, guidance, control, communication and parent-ado-
lescent relationship in shaping the adolescent behavior as it was
found to be significantly associated with reckless driving and lack
of commitment towards safety. Vassallo et al. [38] carried out a lon-
gitudinal study to address the claim that โ€œantecedents of risky driv-
ing can be noticed at early ages prior to driving commencementโ€.
The author grouped drivers based on levels of risky driving behav-
ior as low, medium, and high to analyze behavioral differences at
various stages of childโ€™s development. Insignificant and minor dif-
ferences were found between drivers belonging to different catego-
ries during infancy & early childhood and childhood (mid and late)
respectively. However, the differences were evident among low and
high groups during early childhood (12-14 years) while the groups
differed significantly during early adulthood (19-20 years). It is re-
ported that the odds of self-reported driving aggression increase by
two folds for individuals with conduct disorder (CD) as compared
to CD absentees. Although, negative association was found between
childhood CD and driver aggression, it wasnโ€™t significant [39].
The complex interaction between different modes and driver/
passenger behaviors are bound to result in frequent frustration
and annoyance among road users. Deffenbacher et al. [40] studied
the impacts of relaxation and cognitive-relaxation intervention for
driving anger against no treatment case and concluded that both
treatments lowered trait anger while increasing adaptive and con-
structive expression. It is essential to analyze both causes (state
and trait) and consequences of aggressive driving behaviors and
anger experienced by drivers to design interventions and strategies
to reduce the increasing road rage.
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Adv Civil Eng Tech Copyright ยฉ Inhi Kim
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How to cite this article: Anish K, Inhi K. Road Rage: Where to Go?. Adv Civil Eng Tech.2(1). ACET.000526.2018. DOI: 10.31031/ACET.2018.02.000526
Volume - 2 Issue - 1
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Road Rage: Where to Go?_Crimson Publishers

  • 1. Anish Khadka1 and Inhi Kim2 * 1 Southeast University-Monash University Joint Graduate School, China 2 Department of Civil Engineering Monash University, Australia *Corresponding author: Inhi Kim, Department of Civil Engineering Monash University, Australia; Tel: Tel: +61- 3-9905-4240; Email: Submission: July 25, 2018; Published: August 17, 2018 Road Rage: Where to Go? Review Article 1/4 Copyright ยฉ All rights are reserved by Inhi Kim. Volume - 2 Issue - 1 Introduction Road rage is a deeply rooted social problem and has become a common phenomenon among road users. Over 85% of New South Wales (NSW) drivers interviewed reported of being a victim of var- ious forms of road rage while this figure is even higher in Brisbane with 95% [1]. Nine out of ten US drivers believe aggressive drivers pose a threat to their personal safety while 78% of the drivers re- port of engaging in aggressive driving at least once in 2014 AAAFTS [2]. The fact that road rage and aggressive driving is rated above drink driving as the biggest safety concern reveals the seriousness of the issue. Road rage can be defined as any hostile act conducted by a road user towards another road user on the roadway, including parking lots. These acts involve extreme forms of aggression like physically assaulting road users (both driver/passenger), vehicles or both. Road rage has become an easy medium to express anger, frustration, and the annoyance of everyday conflicts and disagree- ments on situations arising both on and off the roadway due to power, ease of escape, anonymity, and protection associated with vehicles. Aggressive driving refers to reckless or dangerous driving in the absence of anger [3]. There is a thin line between aggressive driving and road rage with the only difference being the intention of the driver. Aggressive driving often results in discomfort to other road users and vice-versa; acting as a stimulus for either driver to engage in milder forms of aggression that escalates to road rage. Some of the milder forms of aggressive driving behavior include honking, cutting across lanes, tailgating, shouting/cursing, etc. The perpetrators of obscene gestures are also found to be equally on the receiving end of it. Hemenway et al. [4] reported that, of the 46% of drivers making obscene gestures to other drivers, 42% of them were found to be on the recipient end. These acts of aggressive driv- ing and provocations reduce the road safety of both perpetrators as well as victims. Among the different aggressive driving behavior, speeding is considered as the most dangerous by NHTSA (National Highway Traffic Safety Administration). It is stated that 1km/h in- crease in mean traffic speed is associated with 3% increase in the incidence of injury crashes [5]. It is reported that more than $250.8 million in hospital charges was incurred by aggressive driving-re- lated inpatients in Ohio, 2004-2009 [6]. Smart & Mann [7] found that road rage is often concealed as the cause of the accident with evidence from Ontario (1998), where 57.8 % of fatal accidents in- volved unknown or reckless driving practices. In the past literature, road rage/ anger has been measured by examining self-reported scales on how drivers express their anger under different driving scenarios using different measures like Propensity for Angry Driving Scale (PADS), Driving Anger Scale (DAS), Driving Behavior Questionnaire (DBQ), Driving Vengeance Questionnaire (DVQ), etc. As the construct definitions differ in each scale; these measures are heterogeneous [8]. Further, the factor structure of these questionnaires are found to vary across coun- tries due to the cultural, environmental differences and also due to different analytical methods used; researchers have grouped DAS items into three factors in study conducted in the UK [9], six fac- tors in the USA and Spain and five factors in France [9-12]. Leal & Pachana [13] assessed the validity of Aus-PADS (Australian PADS) using various scales like novaco anger scale, impulsivity score, and venturesomeness score along with aggressive behaviors like yell- ing, gesturing at others. Deffenbacher et al. [10] state anger while driving as a situation-specific form of anger as it is influenced by many situational factors while the intensity of anger depends on both state and trait anger characteristics. As road rage and aggres- sive behavior are closely related, driving anger expression ques- tionnaire like DAX (Driving Anger Expression) along with sociode- Keywords: Novaco anger scale; Sociodemographic; Probit model Abbriviations: PADS: Angry Driving Scale; DAS Driving Anger Scale DBQ: Driving Behavior Questionnaire; DVQ: Driving Vengeance Questionnaire; NHTSA: National Highway Traffic Safety Administration; TAS: Trait Anger Scale Advancements in Civil Engineering & Technology C CRIMSON PUBLISHERS Wings to the Research ISSN 2639-0574
  • 2. Adv Civil Eng Tech Copyright ยฉ Inhi Kim 2/4 How to cite this article: Anish K, Inhi K. Road Rage: Where to Go?. Adv Civil Eng Tech.2(1). ACET.000526.2018. DOI: 10.31031/ACET.2018.02.000526 Volume - 2 Issue - 1 mographic characteristics like gender, income, age, marital status, education, etc., driving history like driving exposure (miles driven) and crash-related factors are used in the road rage studies. Wells Parker et al. [14] used driving behavior measure developed by James & Nahl [15] with various items grouped together into three main subscales; verbal/frustration expression, threatening/angry driving, and direct contact/confrontation. It is not surprising that most studies have found males, particu- larly young to be more likely associated with aggressive driving and traffic violations as compared to females due to their endorsement of reckless and angry driving style with motivating factors like sense of control, impression management, and thrill Gonzรกlez Igle- sias et al. [16]; Sullman et al. [17]. Wells Parker et al. [14] reported that road rage subscale score of males was twice as high as female while young drivers (age<30yrs) scored 3.5 times higher than old drivers (age>50yrs). Researchers have contrasting view on the risk of aggression among females; Lonczak et al. [3] advocate that as the likelihood of driving with children is higher among females, it might lead to frustrations and distractions while driving and Rabasca [18] suggest females might release their stress at home on the roads by driving aggressively. It is evident that males and females differ sig- nificantly in both physical and psychological aspects. Thus, some of the driving situations that trigger aggressive driving behavior and the intensity of anger experienced among males might not have the same influence on females and vice-versa. Police presence is found to trigger anger among males while femaleโ€™s anger is associated with traffic obstruction [3,16,17]. Further, gender difference is also found in how drivers express anger; males adopt overt aggressive behavior like physical aggression while females adopt covert ag- gressive behavior like verbal aggression [19]. Wickens et al. [20] studied the potential of gender as modera- tor in understanding aggressive driving behaviors and accident risk factors. Most of the predictive factors like demographic character- istics and general risk factors were found to be consistent across genders. The difference in impact of education and income across gender is reported; risk of aggression is higher among females with university degree while males with post-secondary education. In case of salary, females with high-income level ($30,000-$49,999) whereas males with medium income level (income<$30,000) were found to be associated with higher risk of aggression. Regardless of gender, aggression is found to be common among drivers en- gaged in substance abuse like drink-driving, cannabis use, etc. and suffering from depression anxiety. Particularly among females, a strong positive association was found between driving anger and drinking frequency whereas negative associated between driving anger and drinking quantity [3]. DAS score was found to be unre- lated to frequency of driving or exposure [21]. The presence of pas- senger influences the driving style, behavior, and degree of anger experienced for most drivers. However, the nature of the influence is bound to vary; the presence of family members or aged people generally has a calming effect while the presence of the passenger of similar age promotes rash/aggressive driving [22-24]. The modern-day living is characterized by fast-paced lifestyle and difficulties in attaining work-life balance. The stress, frustra- tion, anxiety, and annoyance of such lifestyle is fuelled by the delays resulting from traffic congestion; which more often increases the likelihood of aggression that is reflected in the driving behavior. Congestion was considered as the main cause of increasing road rage by about 86% of NSW drivers. Wickens et al. [20] found ag- gression to be prevalent among drivers reporting of stressful driv- ing. Violations, like running red lights and honking abruptly, were found to be associated with frustrations resulting from congestion and delays [22]. Further, weather conditions associated with high temperature is found to induce anger with drivers reacting aggres- sively to stopped vehicles at the green light [25]. The horn latency, duration, and frequency can be used to assess aggression in such scenarios [26]. Shinar & Compton [24] conducted an observational study and found that the frequency of aggressive behavior showed a strong linear relationship with congestion. However, further studying the relative risk of aggressive driving on delays associated with weekend and weekday congestion, it was found to be insignif- icant, highlighting that value of time is a determinant of aggressive behavior rather than congestion. This finding is also supported by Underwood et al. [27] Who did not find evidence of more anger ex- perienced by the driver under high levels of congestion. Road rage is found to be more common in urban areas as com- pared to rural areas [4]. The odds of experiencing different forms of road rage (milder or severe) is found to differ by regions [28]. Conner & Smith [6] reported that greater proportion of aggres- sive driving in rural areas involved unsafe speed and following too closely in urban areas. Pfeiffer et al. [29] carried out a study among road rage victims at medico-legal center in Hamburg and reported that 68.1% of cases involved physical violence while in more than half of the cases involving objects utilized (31%) used vehicle as a weapon. Positive correlation is found between road rage incidents and use of high-performance vehicles [30]. Kaysi & Abbany [31] developed a binary probit model to predict aggressive drivers at un-signalized intersections using factors like sports car ownership, young age, and speed of vehicles on the major street. The nega- tive impact of gun culture and its sensitivity towards road rage is evident from studies reporting positive correlations between the presence of a gun in vehicle and aggressive or illegal driving be- havior [4,32]. Drivers with drink-driving behaviors, past records of accidents and tickets, and excessive speeding habit were found to be associated with threatening/angry driving subscale. Benavidez et al. [33] conducted a study on drug-dependent patients and found that the percentage of patients involved in road rage (perpetrator or victim) was significantly high as compared to general drivers as well as drivers reporting drug use in the past year. Serious forms of road rage like physical assault was found to be frequent among cocaine and both cocaine and heroin-dependent patients. Underwood et al. [27] carried out a study by considering both questionnaires and diary approach to account for the fact that many accidents and details are forgotten by the respondents. Fur- ther, the author states that when considering crash involvement in the study; near crashes are more advantageous than actual crashes as their frequencies are comparable to the frequency of aggression experienced by drivers and they are also reported to have a signifi-
  • 3. 3/4 How to cite this article: Anish K, Inhi K. Road Rage: Where to Go?. Adv Civil Eng Tech.2(1). ACET.000526.2018. DOI: 10.31031/ACET.2018.02.000526 Adv Civil Eng Tech Copyright ยฉ Inhi Kim Volume - 2 Issue - 1 cant association. This finding is also supported by the study carried out by Sullman et al. [17]. Most near crash scenarios were found to be followed by anger, especially when the driver is not at fault. The author states that low traffic density may provide more opportu- nities for rash drivers to drive carefree as compared to high traffic density, thus, increasing the chances of near accident and with it the potentially aggressive situations as well. Further, hostile actions and mild social deviance were found to be associated with both an- ger and near-accident experience. This highlights how aggressive and reckless driving behavior of other drivers can perpetuate road rage among victims and cause a ripple effect. The form of retaliation to offenderโ€™s reckless driving; direct (victim engaging in aggressive driving behavior) or indirect (use laws like reporting to police to punish offender) is found to depend on the level of seriousness of the offense as well as trust and confidence in justice system [24]. With the ever-increasing auto ownership, the traffic demand exceeds infrastructural supply. Parking facilities, especially in ur- ban areas are limited and disputes over reserved parking spaces of- ten escalate to verbal and even physical aggression among road us- ers. Drivers driving with high beam lights on at night, especially in highways lacking dividers separating opposing traffic movements is a common act of discourtesy that provokes anger among drivers. Among the anger-provoking driving situations in DAS, discourte- sy is consistently rated as the highest in studies carried out among drivers in UK, USA, New Zealand, Tukey, France, and Malaysia [17]. The likelihood of aggression over discourtesy was found to be sig- nificant among novice and young drivers. Abdu et al. [35] conduct- ed a study using driving simulator to analyze the causal relation- ship between driving ability and state anger. The participants were examined on both angry and normal state to analyze the difference in driving behavior under different states. State anger was found to increase risk-taking behaviors like exceeding speed limit instructed and crossing yellow lights; however, it did not compromise skill of the drivers (assessed by emergency maneuvers). Apart from state anger, trait anger is a crucial aspect that gov- erns the individualโ€™s propensity to become angry as well as the intensity of anger. This characteristic differs among individuals as some drivers have greater tendency to act aggressively towards provocations and external situational factors of both minor as well as major nature. TAS (Trait Anger Scale) is used to measure the trait anger. It is found to be associated with frequent involvement in crashes, aggressive driving, and anger towards other road users [36]. Deffenbacher et al. [21] did not find the correlation between trait anger and crash rates in their study, however, it was found to be associated with various crash risk conditions like loss of concen- tration, vehicular control, and close calls. Smoking is found to be associated with greater crash risk due to distractions [3]. Road rage is a deeply rooted problem as it can be associated with adolescence behaviors & upbringing to various situational fac- tors. Taubman Ben Ari & Katz Ben Ami [37] examined the concept of โ€œfamily climate for road safetyโ€ stating the importance of paren- tal monitoring, guidance, control, communication and parent-ado- lescent relationship in shaping the adolescent behavior as it was found to be significantly associated with reckless driving and lack of commitment towards safety. Vassallo et al. [38] carried out a lon- gitudinal study to address the claim that โ€œantecedents of risky driv- ing can be noticed at early ages prior to driving commencementโ€. The author grouped drivers based on levels of risky driving behav- ior as low, medium, and high to analyze behavioral differences at various stages of childโ€™s development. Insignificant and minor dif- ferences were found between drivers belonging to different catego- ries during infancy & early childhood and childhood (mid and late) respectively. However, the differences were evident among low and high groups during early childhood (12-14 years) while the groups differed significantly during early adulthood (19-20 years). It is re- ported that the odds of self-reported driving aggression increase by two folds for individuals with conduct disorder (CD) as compared to CD absentees. Although, negative association was found between childhood CD and driver aggression, it wasnโ€™t significant [39]. The complex interaction between different modes and driver/ passenger behaviors are bound to result in frequent frustration and annoyance among road users. Deffenbacher et al. [40] studied the impacts of relaxation and cognitive-relaxation intervention for driving anger against no treatment case and concluded that both treatments lowered trait anger while increasing adaptive and con- structive expression. It is essential to analyze both causes (state and trait) and consequences of aggressive driving behaviors and anger experienced by drivers to design interventions and strategies to reduce the increasing road rage. References 1. GIO (2011) NSW drivers- still angry but slightly less so, compared to Brisbane. 2. Laura BD (2016) Prevalence of Self-Reported Aggressive Driving Behavior: United States, 2014. AAA Foundation for Traffic Safety, Washington, DC, USA. 3. Lonczak HS, Neighbors C, Donovan DM (2007) Predicting risky and angry driving as a function of gender. 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