12th ATRANS Annual Conference, ATRANS & IATSS JointSession, Bangkok, 22nd & 23rd August 2019

Data Collection on Motorcycle
Crashes – Malaysian Perspectiveand Beyond
Professor Dr. Shaw Voon Wong
University Putra Malaysia
Board of Directors, Malaysian Institute of Road Safety Research (MIROS), ASEAN Road Safety
CentreSpecial Advisor, Ministry of Transport & Communications Myanmar
Chairman, PIARC TC C2 Design and Operation of Safer Road Infrastructure
Convener, ISO TC241/WG5, ISO 39001 & ISO39002
Road Safety Expert, FIA High Level PanelManagement Board, SaferAfrica Dialog Platform
Vice Chairman, Alliance of Safe Community
Expert Panel, Commonwealth Road Safety Initiative
International Academic Expert Group, 3rd Global Ministerial Conference on Road Safety 2020
Road Safety Advisor, Suu Foundation
Road Safety Advisor, The Asia Foundation

Who and How to collect & manage thedata
What kind of data collected

TOPICS OFDISCUSSION

Past and Present Experiences
Challenges & Situation
Countermeasures

Who & How - collect and manage data
• MERS999 Database• Accident -> call for emergency rescue (call 999 in Malaysia)• Brief Accident data being recorded• Location, crash type, involved vehicles• Some injury information, but not by professional• By first and/or third parties.

• Highway Operators Database• Only on highway with such system – the main highway operator• With and by own Emergency Response & Petrol Teams• Traffic Police Traffic Accident Database system• Police Report• By Police, passerby, first and third parties, any witness• Investigation Report• Police Accident Report (POL27)• By Investigation Officer• Most comprehensively collected. Not able to reject any party reporting.
• All fatal crashes would be reported – as it involved death certificate
issuance, insurance claims, transfer of ownership; all requires complete
investigation report• Serious, minor and damage only crashes, would have substantial
underreporting, unless involving insurance claims.

• MIROS Databases• Mirror of Police Data set• MROADS• Different and independent DBMS
• Transferred offline & Manually managed• In-depth Crash Data
• Collected while performing in-depth crashanalysis and investigation by MIROS• Crashes met certain criteria and/or withspecial interest• Not particularly on motorcycle crashes• Hospital Trauma & Emergency Database Management – All trauma• Insurance Claim Data
• Insurance claim data from insurance companies• Data from SOCSO (for workers only)• University Research• University Putra Malaysia – Road Safety Research Centre, Once operatedsuch.
• MAAP5 – same DBMS as the police at the time – in the late 1990s andearly 2000s• Hardcopy of POL27 made available to UPM

What kind of data collectedPOL27 - SAMPLE

POL27 - SAMPLESPOL27 - SAMPLES• Accident DBMS By Highway Operators &Authority• Additional data such as• Toll System (open or close toll network)• Accident location according to the zone
• Eg.: Main traffic lane
• At R&R Area
• At or around (within in 20 m) elevatedintersection• Etc.

• Which part of highway, specifically whichlane, and specific part of the highway.
• Status of the highway at the material
time – closed lane, congested traffic, etc.

• In-depth Crash Database• more details about the crash configuration• Conditions of the vehicles and motorcycles, such astyres, skid marks measurements – width andpattern, rather than just condition of the tyregroove• Analysis details, such as extend of the damage anddeformation,

Past & Existing Experiences• Started with DBase III in the late 80s and 90s – standalone, by police of astation• Fully paper based – electronic entry• MAAP5• Involved in improvement of Police Database – by incorporating GIS withGPS location in 2003/4• MIROS database• In-depth Crash data
• Incorporation of Hospital Trauma Data• Enable data collection, and institutionalized it, including injury
details, rehab, etc.
• Ability to acquire such data, accurately• Willingness to report and report correctly• System driven with incentive, continuous monitoring and evaluation• Systematically manage the data
• Analysis and Reporting

Challenges& Situation• Make use of such data to drive crash avoidance & injury
prevention for road safety

UPCOMING• ASIA Road Safety Observatory• End of UN DOA 2011-2020 for road safety• Beginning of new Decade for 2030 target & UNSDG 2030
• 3rd Global Ministerial Conference on Road Safety, Stockholm, 2020
• Motorcycle for sure a very different challenge in ASIA than other part ofthe worldCountermeasures – Recommendations
together with IATSS – ATRANS for thecoming Decade on Road Safety• Forming IATSS Academic Advisory Board on Road Traffic Crash DataManagement and Analysis with some funding support for• Joining the observatory development with similar influencing position for theupcoming observatory if materialized• Recommend data collection mechanism, management system requirements• Provide scientific advisory consultation and continual support to Asian
countries towards institutionalizing crash data collection and management• Gather the regional needs, influence and position IATSS to the upcoming
Global Ministerial Meeting• Explore and Establish Crash Data collection via non-conventional roadsafety and crash data stakeholders.
• Sizable Private and public organization, utilizing UNSDG target reporting
mechanism• Build capacity with effective Road Traffic Safety Management System fororganizations where data is being gathered systematically and analyzed
for continual improvement. ISO39001 would be a good tool to be explored
and utilized• Establish similar mechanism and platform like IRTARD under OECD, but
for ASIAN Countries, so data collection can be spread wider and being
collected with tangible output (annual, or bi-annual reporting, etc), andspecific focus shall be placed for Motorcycle Crashes.

THANK YOU
Professor Dr. Shaw Voon Wong
wongsv@upm.edu.my