Innovation- and research
programmes at
TU Delft Safety and
Security Institute (DSyS)
June 8th 2017
HSD Cafe
Pieter van Gelder
Safety and Security Science
• Is about scientific analysis of undesired events
(intentional and unintentional)
• At TU Delft we aim to quantify and optimize safety
and security by technical and socio-technical
measures.
Research goals
• How to improve the risk management
methodologies?
• How to improve the data analytics?
• How to improve the system of systems approach?
We are always looking for cases
Bow-tie Model:
Everything leading
up to the accident
Fault tree
Everything following
the accident
Event tree
BUT:
• Logic is NOT deterministic
• Causality is probabilistic
• Human influence certainly
not deterministic
Barriers
• New sort of construct:
Bayesian Belief Net
BBN for road infrastructure
CATS Causal Model for Air Transport Safety
air traffic control
• 1400 nodes
• 5000 arcs
Game theory
Attack trees
Balance of safety and costs
Dantzig, D. van, 1960, The economic decision problem concerning the safety of the
Netherlands against storm surges; Report of the Delta Commission, Contribution II.2,
p 59-110.
Van Gelder, P.H.A.J.M., 1999.
“Statistical Methods for the
Risk-Based Design of Civil
Structures”, Communications
on Hydraulic and
Geotechnical Engineering,
ISSN:0169-6548 00-1
DSyS field labs
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Campus living lab for evacuation exercises
Campus living lab for laboratory safety
Campus living lab for risk perception
Smart Resilient Delta City Index (for
flooding)
Invitation
• Do you want to evaluate the effectivity of
your safety / security innovations?
• Do you want to share data from sensors
and join a living lab?