Probing the effectiveness of OP Selamat in creating the perception of being caught among road users in Malaysia

Similar documents
PERCEIVED RISK OF BEING CAUGHT AMONG ROAD USERS FOR TRAFFIC INFRINGEMENT IN MALAYSIA

Reduction of Speed Limit at Approaches to Railway Level Crossings in WA. Main Roads WA. Presenter - Brian Kidd

THE DEVELOPMENT OF MALAYSIAN HIGHWAY RAIL LEVEL CROSSING SAFETY SYSTEMS: A PROPOSED RESEARCH FRAMEWORK. Siti Zaharah Ishak

The 2002 Pedestrian Safety Awareness Campaign

road safety issues 2001 road toll for Gisborne district July 2002 Road user casualties Estimated social cost of crashes*

Civil Society. Dialogue for Progress

Road Safety Partnership

Do young Malaysian drivers involve in speeding behaviour: An investigation at selected accident hotspots in peninsular Malaysia

The Effect of Pavement Marking on Speed. Reduction in Exclusive Motorcycle Lane. in Malaysia

Review of Considerations and Requirements for Automated Enforcement

Napier City road trauma for Napier City. Road casualties Estimated social cost of crashes* Major road safety issues.

MANAGEMENT OF SPEEDING COMPARING TWO APPLIED ENGINEERING MEASURES

Safer Roads Humber Annual Safety Camera Progress Report April 2010 March 2011

Children s expectations and beliefs toward the relative safety of riding bicycles at night

OVERVIEW OF CURRENT ROAD SAFETY SITUATION IN MALAYSIA

Road Users Safety Effective Measures. Alain Areal

Wipe Off 5 A Victorian Social Marketing Campaign

Bus Safety Situation in Thailand: Bus Driver Experiences and Attitudes

2003 road trauma for. Wairoa District. Road casualties Estimated social cost of crashes* Major road safety issues WAIROA DISTRICT JULY 2004

Statement before the Maryland Senate Committee on Judicial Proceedings on Senate Bill 277. Research on Automated Speed Enforcement. Stephen L.

5 AUTOMATED SPEED ENFORCEMENT PROPOSAL

Study on fatal accidents in Toyota city aimed at zero traffic fatality

ITARDA INFORMATION. No.128. Special feature

IMPROVED SAFETY SURFACE ACCESS AT LOW COST AIRPORTS: KUALA LUMPUR INTERNATIONAL AIRPORT, MALAYSIA CASE STUDY

the Ministry of Transport is attributed as the source of the material

Motorcycle Lane Splitting

Quantitative study of attitudes, motivations and beliefs related to speeding and speed enforcement.

Analyses and statistics on the frequency and the incidence of traffic accidents within Dolj County

SCIENTIFIC BASIS FOR THE STRATEGIC DIRECTIONS OF THE SAFETY CAMERA PROGRAM IN VICTORIA

Deaths/injuries in motor vehicle crashes per million hours spent travelling, July 2007 June 2011 (All ages) Mode of travel

EFFECTIVENESS OF AUTOMATED ENFORCEMENT SYSTEM (AES) IN

Lincolnshire JSNA: Road Traffic Accidents

Road Safety Annual Report 2016 OECD/ITF Chapter 26. Morocco

Crash Patterns in Western Australia. Kidd B., Main Roads Western Australia Willett P., Traffic Research Services

An evaluation of pedestrian countdown timers in the Sydney CBD

Emerging Crash Trend Analysis. Mark Logan Department of Main Roads, Queensland. Patrick McShane Queensland Transport

Beaverton Police Department Traffic Safety Team

Research Objectives Investigate the basic elements of cost-benefit evaluation techniques through the assessment of selected road safety measures in Gr

Background. The scale of the problem. The scale of the problem. Road Safety in London, the statistics. 280 Fatalities from road crashes in 2002

TRIM Queue, Vejle N Denmark. Evaluation report

Crash Analysis of I-64 Closure in St. Louis County

Social marketing can it be used to reduce road traffic collisions among young male Irish drivers?

Cyclists and red lights a study of behaviour of commuter cyclists in Melbourne

INFORMATION TOOL KIT

Addressing the challenges of road safety in India: Are there lessons from Australia?

Transportation and Public Works Annual Motor Vehicle Collision Report

London Safety Camera Partnership

Frequently asked questions (FAQ) about a borough-wide 20 mph speed limit

Analysis of the Red Light Camera Program in Garden Grove, CA By Jay Beeber, Executive Director, Safer Streets L.A., Member ITE

Speed Limit Policy Isle of Wight Council

TEST OF ENGLISH FOR EDUCATIONAL PURPOSES

Estonian way to safer roads: what is behind the numbers? Maria Pashkevich Road Safety Department/Chief specialist

Road safety training for professional drivers: worldwide practices

Analysis of the Interrelationship Among Traffic Flow Conditions, Driving Behavior, and Degree of Driver s Satisfaction on Rural Motorways

Version 7 October Utilisation Strategy for Speed Camera Enforcement

Part 1 Road Transport

EUROPEAN TRANSPORT CONFERENCE 2006 ROAD SAFETY IN LONDON PAST SUCCESSES AND FUTURE INNOVATIONS

road safety issues 2002 road trauma for TNZ Region Two July 2003 Road deaths Estimated social cost of crashes* Major road safety issues

In the spring of 2006, national newspaper headlines screamed

Local Government Road Safety Summit - 9 April 2018

PEDESTRIAN AND DRIVER KNOWLEDGE OF PRIORITY RULES FOR VARIOUS TYPES OF CROSSINGS J. Hatfield 1, R.F.S. Job 2 & K. Smith 3

A Conceptual Approach for Using the UCF Driving Simulator as a Test Bed for High Risk Locations

Road Safety Action Plan

PRELIMINARY DRAFT FIRST AMENDMENT TO VISION 2050: A REGIONAL LAND USE AND TRANSPORTATION PLAN FOR SOUTHEASTERN WISCONSIN

ROAD SAFETY ANNUAL REPORT 2018 ISRAEL


Speed effects of automatic camera enforcement on main road 51

Response Road Safety Strategy for New South Wales

Cycle journeys on the Anderston-Argyle Street footbridge: a descriptive analysis. Karen McPherson. Glasgow Centre for Population Health

The experience of Spain in reducing road deaths in urban areas

1 Monash University Accident Research Centre, Monash University, Victoria, RACV, 550 Princes Highway Noble Park, Victoria, 3174.

Synthesis title: Seat Belts. Observatory main category: Vehicles. Other relevant syntheses to be consulted:

Traffic Calming Scheme Around the Vicinity of Schools

INSURANCE INSTITUTE FOR HIGHWAY SAFETY 1005 NORTH GLEBE ROAD ARLINGTON, VA PHONE 703/ FAX 703/

Every time a driver is distracted,

Queensland s experience with speed limit reductions on Black Links

Developing a Safer Cycling Strategy for the ACT ACRS Conference August 2012

City of Edmonton Office of Traffic Safety

Safety and accident prevention plan in Burgos

Delivering Accident Prevention at local level in the new public health system

Level Crossing Awareness and Enforcement Campaign Five years of working together

SITUATIONS AND CHALLENGES OF ROAD SAFETY IN CHINA

Road Safety Vademecum

New Royal Mail Group New Driver Safety Training Courses Provided by 'Pertemps'

briefing notes - road safety issues

Effects of Automated Speed Enforcement in Montgomery County, Maryland, on Vehicle Speeds, Public Opinion, and Crashes

Relationship Between Child Pedestrian Accidents and City Planning in Zarqa, Jordan

Country fact sheet South Korea

officer Traffic Safety National Law Enforcement Officers Memorial Fund September 2012

CEDR N5 Improvements in the field of Road Safety New trends in member states Road Safety strategies

Jurnal Teknologi BUSINESS HOURS VS NON-BUSINESS HOURS IN BUSINESS ZONE : IMPACT ON SPEED AND ACCELERATION. Full Paper

Increasing Awareness of Road Safety Risk Factors

How methods and levels of policing affect road casualty rates

Traffic Control: An Overview. May 2016

Lane changing and merging under congested conditions in traffic simulation models

THE MAGICAL PROPERTY OF 60 KM/H AS A SPEED LIMIT? JOHN LAMBERT,

Potential Factors Affecting Roadway Departure Crashes in Oahu, Hawaii

INSURANCE INSTITUTE FOR HIGHWAY SAFETY 1005 NORTH GLEBE ROAD ARLINGTON, VA PHONE 703/ FAX 703/

Trends in cyclist casualties in Britain with increasing cycle helmet use

Review of A Detailed Investigation of Crash Risk Reduction Resulting from Red Light Cameras in Small Urban Areas by M. Burkey and K.

Transcription:

3, Issue 1 (2016) 23-29 Journal homepage: www.akademiabaru.com/aravs.html ISSN: 2550-2212 Probing the effectiveness of OP Selamat in creating the perception of being caught among road users in Malaysia Open Access Noradrenalina Isah 1,*, Nor Fadilah Mohd Soid 1, Zulhaidi Mohd Jawi 1, Norlen Mohamed 2, Azmi Awang 3 1 Road User Behavioural Change Research Centre, Malaysian Institute of Road Safety Research, Ministry of Transport Malaysia, Lot 135, Jalan TKS 1, Taman Kajang Sentral, 43000 Kajang, Selangor, Malaysia 2 Environmental Health Unit, Disease Control Division, Ministry of Health Malaysia, Level 2, Block E3, Kompleks E, 62590 Putrajaya, Malaysia 3 Driver Licensing Division, Road Transport Department, Ministry of Transport Malaysia, Level 4, No. 26, Jalan Tun Hussein, Persiaran Perdana, Presint 4, 62100 Putrajaya, Malaysia ARTICLE INFO Article history: Received 5 December 2016 Received in revised form 3 January 2017 Accepted 7 January 2017 Available online 31 January 2017 Keywords: Perception of being caught (POBC), Road traffic enforcement, Road users behaviour, Malaysia ABSTRACT This article mainly discusses the effectiveness OP Selamat in increasing the Perception of Being Caught (POBC) for committing traffic offences among road users in Malaysia. The analysis was based on the data from previous POBC studies from year 2008 until 2013. It can be seen that the OP Selamat program was found to be effective in increasing the overall road users POBC for committing traffic offences. The analyses have confirmed that there was statistically significant difference in mean scores of road users overall POBC. It is hoped that the discussion with regard to POBC would help the concerned parties in constructing a concrete strategy in road traffic enforcement. Copyright 2016 PENERBIT AKADEMIA BARU - All rights reserved 1. Introduction The increasing number of casualties due to road traffic crashes in Malaysia is worrying. Based on the recent statistics, the number of fatalities alone in 2014 were 6,674, while the severe and minor injuries were 4,432 and 8,598, respectively [1]. In response to the scenario of road traffic crashes in Malaysia, the government has taken several initiatives to reduce the number of crashes and one of them is to create the perception of being caught (POBC) among the road users under the umbrella of road traffic enforcement. Launching of special enforcement program during festive seasons is one the efforts to ensure high POBC among road users. Many countries have performed special advisory and enforcement effort during festive seasons such as during Christmas, Easter day and New Year celebrations. In * Corresponding author. E-mail address: lina@miros.gov.my (Noradrenalina Isah) 23

Queensland, Australia, an Easter Road Safety Campaign was executed during Easter holiday break in year 2013 [2]. The objective was to ensure safe road behaviours over Easter. They were focusing on the so called fatal fives i.e. speeding, drink or drug driving, not wearing seatbelt, fatigue, inattention and distraction. Furthermore, an ad campaign called Better Slow Down was launched by targeting young male drivers aged 17 to 24 years old who are over-represented in fatal speeding crashes in Queensland. During Christmas holiday, the police was focusing on the fatal five offences including road user behaviour that could affect driver s focus such as use of mobile phones, eating or drinking, adjusting vehicle equipment and controls, or any other actions that distract drivers from maintaining control of their vehicles [3]. High visibility patrols and traffic enforcement operation over the holiday period were also conducted in support of the Anywhere Anytime strategy. Over this period, police will be deployed across the state and will use covert and marked mobile speed cameras, marked and unmarked police patrols, fixed speed cameras, hand-held speed detection devices and the automatic number plate recognition system. Easter Crossroad year 2012 in New Zealand more concentrated on maintaining the safety of people who travel away over the break season and at the same time monitoring the common offences such as speeding, not wearing seatbelts and drunk driving [4]. Furthermore, awareness campaign themed Road Safety is Everyone s Responsibility could be considered as successful since out of more than 500 crashes occurred, none of them involved fatal cases. This was a considerable reduction as compared to previous Easter when there were almost 600 crashes occurred. As reported by South Africa s Department of Transport (2012), a pre-december holiday traffic law enforcement operations was conducted to prepare for Christmas holiday [5]. The traffic enforcers had been practising stop-and-check approach to vehicles in South Africa. Other than no compromise on the traffic punishment, the sentences imposed by the courts include hefty fines, imprisonment without the option of a fine, as well as suspension/cancellation of driving licences. The effort led to reduced fatalities by 75% during the 2011/12 festive season on the N3 highway between Gauteng and KwaZulu-Natal. National preliminary figures for the past festive season (2011/12) road death toll also reflect a decrease in road fatalities as compared to the previous festive season (2010/11) report. Relying on POBC to increase compliance to road traffic laws is vital. Many studies across the globe have proven that POBC is effective in reducing the number of traffic crashes especially with regard to speeding [6,7,8,9,10,11]. In a study done by Summala in 1985, POBC is proved as an effective measure in increasing traffic law compliance [11]. It is also generally accepted that the risk of detection rather than the severity of punishment is the most important factor behind compliance to road traffic laws. A study done by Mannering in 2008 on the POBC for speeding found that the drivers believed that they will only be fined for speeding if they drive 10.88 km/h over the speed limit [7]. He also found out that drivers associated safety measurements with the likelihood to be fined. They believe that they will only be fined by the police if safety is threatened. De Waard (1994) on the other hand found that the perception of being caught plays an important role in speed choice which reduces the driver s tendency to speed [10]. In addition, Glendon (2003) in his study has concluded that drivers who witnessed other drivers being stopped by the police are more likely to reduce their speed accordingly [9]. Furthermore, another study by Adams-Guppy and Guppy in 1995 have looked onto the role of the perceived probability of adverse events (perceived risk) together with the utility measures (e.g. the importance of getting to a destination on time) in predicting self-reported behaviours [12]. In their study, respondents were asked to indicate on their frequency of speeding on motorways at 10 mph and 20 mph above the speed limit. Analysis performed has confirmed that while perceptions of 24

the risk of injury were not good predictors, things are going the other way around for time pressure. Such results indicate that more frequently occurring positive factors are better predictors of behaviour than rare, but negative, events. Moreover, Brown and Cotton in 2003 have looked onto drivers perceptions of risk in relation to speeding, and risk-mitigating beliefs (the common-sense notions that a driver might employ to justify their speeding, e.g. it is acceptable to speed when there are no cars around or when driving on a straight road) [13]. They managed to conclude that those who adopt risk-mitigating beliefs possess higher levels of speeding. In addition, as estimates of risk partially mediated this effect, the implication is that these risk-mitigating beliefs may serve to reduce perceptions of the risk of speeding. In Malaysia, the special enforcement program is known as OP Selamat (Operation Safe), or previously known as Ops Sikap (Operation Attitude) and Ops Statik. It is focused on behavioural changes through more visible traffic enforcement activities [14]. This had now been the country s practice or tradition in preventing road traffic crashes and fatalities via enforcement method, yet the main goal is more towards fatal crashes. OP Selamat is a strategy that is regarded as a feasible approach in changing the behaviour of road users in Malaysia during the hectic festive seasons. OP Selamat has now been practiced for many years, yet its effectiveness in creating POBC among road users in the long run is still unclear. Thus, the analysis aims to identify the effectiveness of OP Selamat in increasing POBC based on the common phases of the special enforcement program before, during and after OP Selamat. 2. Methodology This study utilized secondary data collected from previous POBC studies conducted during OP Selamat of Chinese New Year (OPS CNY) in Malaysia by the authors. The details on the OP Selamat were gained from the related agencies i.e. Royal Malaysian Police (PDRM), Road Transport Department (JPJ) and Land Public Transport Commission (SPAD). In this particular analyses, only data from 2008 until 2015 were analysed. The previous studies involved a total of 25,891 respondents, and those studies had been conducted at several locations along the federal roads and expressways (tolled highways). Each studies includes information on the users POBC and their demographic information such as gender, age, race, level of education, monthly income, vehicle information and experience of being ticketed. The descriptive analysis was performed to describe the overall POBC. The inferential analyses, i.e. independent-samples t-test and ANOVA, were performed to address the two main focus of the study: (i) to measure the success of OP Selamat in creating POBC among the road users by measuring the difference based on the common phases of OP Selamat (before, during and after); and (ii) to measure the difference of POBC by the year of OP Selamat, in which the data covered were from 2008 until 2015. Though the entire analysis involved different set of respondents, it can be assumed that the entire series of POBC study is consistent since the same set of POBC questionnaire were used. An independent-samples t-test were performed to compare the mean scores of road users overall POBC for OP Selamat (OPS CNY year 2013 until 2015). A one-way between-group analysis of variance (ANOVA) were performed to investigate whether there is a difference in mean scores of road users overall POBC for three main periods (OPS CNY year 2008 until 2012). Meanwhile, post-hoc comparisons using the Tukey HSD test were performed to explore whether there is a difference occurs among mean scores from year 2008 until 2015. 25

3. Results and discussion In order to observe the pattern of POBC, the collected data was categorised into three common phases of OP Selamat (before, during and after) for the year 2008 until 2012. In the case of 2013 until 2015, the observations on POBC can only be seen before and during OP Selamat only. The mean scores of road users POBC was determined for each OP Selamat program during the festive seasons. Table 1 illustrates the summary of the mean scores of road users POBC according to OP Selamat Chinese New Year (OPS CNY) for the year 2008 until 2015. For the Before OP, the mean scores of road users POBC were rather low for the year 2008, 2014 and 2015 as compared to the other phases (during and after), as well as across the years. There were significant increments in road users POBC in 2008, 2012 and 2013, i.e. 5.24, 5.56 and 5.02 for During OP, respectively. This perhaps due to road users actual increase in awareness and/or the expectation of increased enforcement. With regard to After OP, except for the year 2010 and 2012, there were a considerable growth in mean scores of road users POBC if compared with Before OP. Furthermore, it can be seen that the road users POBC weakened after the OPS CNY ended during the year 2008, 2010 and 2012, but slightly increased in 2009 and 2011 even after the OPS CNY ended. Table 1 Analysis in road users overall POBC for 2008 until 2015 OP Selamat Chinese New Year (OPS CNY) festive periods Phases OPS CNY (Mean Scores) 2008 2009 2010 2011 2012 2013 2014 2015 Before OP 4.08 4.91 4.93 4.45 4.25 4.34 4.20 4.18 During OP 5.24 4.98 5.33 4.30 5.56 5.02 4.67 4.78 After OP 4.57 5.09 4.93 5.45 5.01 - - - The mean scores collected was from 0 to 10, whereby 0 indicates perception of not being caught at all while a 10 would indicate a sure POBC. The percentages of road users perception level of being caught were compared before, during and after the launch of the OPS. An independent sample test and a one-way between-group analysis of variance test were performed to investigate whether there is a difference in mean scores of road users overall POBC for each OPS CNY. An independent ANOVA test in Table 2 reveal that there were statistically significant differences in the mean scores of the overall POBC for traffic offences for three common phases each year (OPS CNY year 2008 until 2012). Road users overall POBC scores During OP were higher than before and after the implementation of OPS CNY for the year 2008, 2010 and 2012. Meanwhile, for OPS CNY year 2009 and 2011, road users overall After OP POBC scores were higher than before and during the OPS CNY. Thus, the road users overall POBC for traffic offences were hypothetically influenced by the implementation of OPS CNY. Meanwhile, independent sample t-test in Table 3 reveal that there were statistically significant differences in the mean scores of the overall POBC for traffic offences for two common phases each year (OPS CNY year 2013 until 2015). Road users overall POBC scores During OP were higher than before the implementation of OPS CNY for the year 2013, 2014 and 2015. Though the findings from the inferential statistics of the POBC study shows a significant difference, the percentage rate during the eight years of the studied OPS CNY (2008 to 2015) was still 26

at a moderate level. This also means that the road users compliance to road traffic laws is still low. This doesn t bode well because road users assume that there s nothing to hold them from committing road traffic offences and there will be no enforcement seen to monitor them (overt approach). Table 2 Comparison of road users overall POBC according to phases for CNY 2008 until 2012 CNY 2012 Mean SD ANOVA Test Before OP 4.25 2.69 F (2,1197)=28.568**** During OP 5.55 2.11 After OP 5.06 2.53 CNY 2011 Before OP 4.46 2.79 During OP 4.27 2.71 F(2,1197)=19.780**** After OP 5.44 2.95 CNY 2010 Before OP 4.96 2.81 During OP 5.36 2.67 F(2,1794)=4.103* After OP 4.95 3.03 CNY 2009 Before OP 4.91 2.38 During OP 4.98 2.40 F(2,8097)=3.513* After OP 5.09 2.48 CNY 2008 Before OP 4.08 2.46 During OP 5.24 2.53 F(2,10797)=180.679**** After OP 4.57 2.79 *Significant at the level 0.05 **Significant at the level 0.01 ***Significant at the level 0.001 **** Significant at the level 0.0001 Table 4 presents the data that were used to explore the effect of OP Selamat based on the mean scores of road users overall POBC from the year 2008 until 2015. There was a statistically significant difference at the p<0.01 level in mean scores for the eight years of OP Selamat during CNY, i.e. F(7,9293)= 14.824, p=0.0001. Post-hoc comparisons using the Tukey HSD test indicated that the significant difference occurs between year 2011 and the other years of OP Selamat implementation. The mean scores for year 2009 (M=4.98, SD=2.39) were significantly different from year 2011 (M=4.26, SD=2.71) and year 2012 (M=5.55, SD=2.107). Year 2012 did not differ significantly for year 2008 and year 2010. Meanwhile, for year 2013 (M=5.02, SD=3.08), the mean score was only having significant different with year 2012 27

and 2011, while the rest of years were not significantly different. As indicated by 2014, the mean differences were only existing between year 2008 (M=5.24, SD=2.53), 2009 (M=4.98, SD=2.40) 2010 (M=5.36, SD=2.67) and for year 2012 (M=5.55, SD=2.107). Furthermore, for year 2015, the mean differences were only significant between year 2008 (M=5.24, SD=2.53), 2010 (M=5.36, SD=2.67) and 2012 (M=5.55, SD=2.107). Table 3 Test of road users overall POBC for Before OP and During OP for CNY 2013 until 2015 CNY 2015 *Significant at the level 0.05 **Significant at the level 0.01 ***Significant at the level 0.001 **** Significant at the level 0.0001 Mean SD Independent sample t-test Before OP 4.33 2.99 t(798)= -3.059** During OP 5.02 3.08 CNY 2014 Before OP 4.20 2.55 t(1197)= -3.459*** During OP 4.67 2.16 CNY 2013 Before OP 4.34 2.19 t(1198)= -3.864**** During OP 5.02 3.08 Based on the finding, the trends show an increment during the OP Selamat implementation as compared to Before OP. These results corroborate the report of TRB in 1998 [15], which stated that compliance with any traffic regulation such as the speed limit requires a reasonable constraint on behaviour such as OP Selamat implementation in Malaysia. Though the effect of this enforcement program have yet to produce a considerable reduction in road traffic casualties, the operation ( OP Selamat ) is still valid to conduct in order to at least creating the POBC among road users. Table 4 Mean scores of overall POBC during OPS CNY from 2008 until 2015 and fatalities recorded Year POBC Study Total Fatalities Mean SD (and daily fatalities) 2015 5.02 3.08 199 (13.3) 2014 4.67 2.16 162 (10.8) 2013 5.02 3.08 194 (12.9) 2012 5.55 2.11 168 (11.2) 2011 4.27 2.71 199 (13.3) 2010 5.36 2.67 201 (13.4) 2009 4.98 2.40 212 (14.1) 2008 5.24 2.53 190 (13.0) 28

4. Conclusion The OP Selamat program conducted in 2008 until 2015 was found to be effective in increasing the overall road users POBC for committing traffic offences, and this is in line with other international studies findings. However, the perception levels for traffic offences for eight years of OP Selamat recorded were categorized as mediocre, which is in the range of 4.08 to 5.56. Road users are of the opinion that despite committing traffic offences, their probability of being ticketed by the authorities can be considered as low. In sum, it is hoped that the analyses on POBC would help the concerned parties in managing the road traffic enforcement in the future. References [1] Royal Malaysian Police (RMP). Annual Accident Statistics 2014, Kuala Lumpur: RMP, 2015. [2] Retrieved on December 1, 2013, from: http://statements.qld.gov.au/statement/2013/3/27/police-to-crack-down-on-drivers-this-easter-break [3] Retrieved on November 1, 2013, from: http://mypolice.qld.gov.au/southbrisbane/2012/12/13/christmas-and-school-road-safety-message-from-yourrtc/ [4] Retrieved on December 1, 2013, from: http://www.police.govt.nz/news/release/31314 [5] Retrieved on January 15, 2014, from: http://www.gov.za/speeches/view.php?sid=24548 [6] Beck, K.H., Fell, J.C., Yan, A.F. A comparison of drivers with high versus low perceived risk of being caught and arrested for driving under the influence of alcohol. Traffic Injury Prevention 10, no. 4 (2009): 312-319. [7] Mannering, F. An empirical analysis of driver perceptions of the relationship between speed limits and safety. Transportation Research Part F, (2009): 99-106. [8] Blincoe, K.M., Jones, A.P., Sauerzapf, V., Haynes, R. Speeding drivers attitudes and perceptions of speed cameras in rural England. Accident Analysis and Prevention 38, (2006): 371-378. [9] Glendon, A.I., Cernecca, L. Young drivers responses to anti-speeding and anti-drunk-driving messages. Transportation Research Part F 6, (2003): 197-216. [10] de Waard, D., Rooijers, T. An experimental study to evaluate the effectiveness of different methods and intensities of law enforcement on driving speed on motorways. Accident Analysis and Prevention 26, no. 6 (1994): 751-765. [11] Summala, H. Modeling driver behaviour: a pessimistic prediction. In Human behaviour and traffic safety, Edited by Evans, L., Schwing, R.C., New York: Plenum Press, 1985. [12] Adams-Guppy, J.R., Guppy, A. Speeding in relation to perceptions of risk, utility and driving style by British company car drivers. Ergonomics 38, (1995): 2525-2535. [13] Brown, S.L., Cotton, A. Risk-mitigating beliefs, risk estimates, and self-reported speeding in a sample of Australian drivers. Journal of Safety Research 34, (2003): 183-188. [14] Mohd Soid, N.F., Isah, N. Perceived risk of being caught among road users for traffic infringement in Malaysia. In Proc. International Conference of Social Sciences Research (ICSSR 2014), Kota Kinabalu, Sabah, 2014. [15] TRB. Managing Speed: Review of current practice for setting and enforcing speed limits. Special Report 254, National Research Council, Washington, D.C., 1998. 29