Risk Management & Evaluation
There are three major fields of study regarding emergency & disaster management in TRUE
  1. Aviation System Safety Management
  2. Study on EMS response time coverage using historic traffic data
  3. Impacts of volcanic eruption on aviation system

Aviation System Safety Management and Reliability Centered Maintenance Program Development

  • The goal of this research is to develop SMS tools for service providers and policymakers to achieve proactive safety management in accordance with ICAO guideline. 
  • TRUE is participating on a project of development of risk model and related techniques to assess risks in the aviation organizations both in quantitative and qualitative way: direction of collecting safety data for risk analysis and risk assessment, methodology of risk assessment using safety database, and developing state safety indicators.
CATS, ESD Model
ICAO- Risk Matrix Model
FAA - Risk Matrix Model
KAIST-Risk Model


1.   Worst/Most Credible Risk Matrix method 
  •   Identify both of the most frequent risk level and the worst risk level by hazard
  •  The risk levels are visually shown on risk matrix.
    
2.  Cromatography method  
  • Represent probability distribution of severity by hazard into stacked bar chart. 
  • Provide insights into overall risk level by hazard, but does not provide immediate risk assessment

3.   Risk Scoring 
  • Likelihood value from existing risk matrix’s likelihood value
  • Severity value from weighted sum of the number of occurrence by severity level
  • Useful in quantitative comparison of risks among hazards
Research Period
2011. 12 ~ 2015. 06

Funding
KAIA

Team
Ohhoun Kwon
Yuna Noh
Jiseon Lee
Donghoun Lee
Eunhye Kim
Eunseok Kim

Patents
- Aviation safety risk assessment method based on hazard matrix and apparatus for the same.  Korea Domestic Patent Application.    App. No. 10-2014-0105376  (2014.08.13)
- Software: Aviation Risk Identification and Assessment (ARIA)


R&D PARTNERSHIP



EMS response time coverage using historic traffic data

  • In the Emergency Medical Service (EMS), it is widely recognized that the response time - the time from receipt of an emergency call to arrival at the patient location, highly affects the patient survival rate. Response time consists of two components: pre-travel delay and travel time. The pre-travel delay is the amount of time between an emergency call and the vehicle mobilization, while the travel time is the time between the vehicle mobilization and arrival at the patient location.
  • Between the two components of response time, travel time addresses the larger portion in most cases, and is highly dependent on road traffic condition. There have been numerous researches to analyse the impact of traffic condition to emergency response time based on vehicle speed. However, travel speeds are assumed to be constant in most cases, and variations in travel speed due to conditions common to the road traffic system such as commute hour congestion are not properly addressed.  
  • In this research, time-varying speeds are defined for each street segment within a street network based on the historic traffic data. We propose a GIS-based method to calculate the k-minute travel time contour to represent the response time coverage, incorporating time-of-day and day-of-week effect on travel time in Seoul, South Korea. 

Impacts of volcanic eruption on aviation system

  • The ash cloud from the Eyjafjallajokull volcano in Iceland caused a significant impact on aviation industry on April 14, 2010. Airports across Europe were closed, and at least 17,000 flights a day were cancelled for over a week. Overall 100,000 flights were cancelled and 10 million passengers were unable to board their flights during this week. After Iceland case, there have been many studies trying to address aviation industry impact of Volcanic Ash. However, most of the volcanic eruption scenario studies have limitations.
  • In TRUE lab, we analyze the damage of the airports and number of the cancelled flights depend on the hypothetical case of Mt. Baegdu eruption model to derive a predicted flights path and diffusion distance of volcanic ash. This research analyzes the effect of volcanic ash to air traffic and airport by quantification value by assessing volcanic ash concentration and its altitude.