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CASCADING DISASTERS
AND COMPOUND, INTERCONNECTED
AND INTERACTING RISKS
Prof. David Alexander and Dr Gianluca Pescaroli
Objective:
to provide a [relatively]
simple means of
understanding,
classifying and
analysing the complexity
of disaster impacts
in a modern, networked
society
Caesar Augustus
(63 BC –AD 14)
"The more complex a
problem, the simpler the
solution should be."
H.L. Mencken
(1880-1956)
"For every complex
problem, there is an
answer that is clear,
simple, and wrong."
Warning: there are an awful lot of
box diagrams and flow-charts in this
presentation....
known
knowns -
things we
know
Modified "Rumsfeld" Classification
unknown
knowns -
things we
don't realise
we know
known
unknowns -
things we
know we don't
know
unknown
unknowns -
things we
don't know we
don't know
Research
and
applications
Intensify
search
Broaden
our
culture
We
can
do
nothing
12-2-2002
DETERMINISM
Cause Effect
PROBABILITY
(constrained uncertainty)
Cause Single, multiple
or cascading effects
THE KNOWN
THE UNKNOWN
PURE UNCERTAINTY
Causal relationship
unknown
Grey
area
Climate change Terrorism
Displacement
and migration
Pandemics
and epidemics
Population increase
Environmental
change
Conflict
Technological
disasters and
major incidents
'Natural'
disasters
MODELS
DISASTER RISK
HAZARD EXPOSURE VULNERABILITY RESILIENCE
• probability
• magnitude or
severity
• recurrence
interval
• physical
assets
(structures)
• population
(individuals)
• economy
(livelihoods)
• physical
• ecological
• economic
• social
• psychological
• cultural
• institutional
• physical
planning
• social and
psychological
coping
• economic
capacity
Vulnerability
Total: life is
generally precarious
Economic: people lack
adequate occupation
Technological/technocratic: due
to the riskiness of technology
Delinquent: caused by
corruption, negligence, etc.
Residual: caused by
lack of modernisation
Newly generated: caused by
changes in circumstances
Balancing vulnerability and resilience
• current knowledge about the concepts of
vulnerability, threat and risk
• current knowledge about the
concept of resilience
• human organisation in
crisis situations
• gap analysis and resilience matrix
• interactions between resilience and
vulnerability: theoretical model
'PRESSURE-AND-RELEASE' MODEL
PROGRESSION OF VULNERABILITY
ROOT
CAUSES
DYNAMIC
PRESSURES
UNSAFE
CONDITIONS
HAZARDS
DISASTER
Theoretical and conceptual framework for analysis
Source: Wisner et al. At Risk (2004 edn)
'PRESSURE-AND-RELEASE' MODEL
PROGRESSION OF VULNERABILITY
ROOT
CAUSES
DYNAMIC
PRESSURES
UNSAFE
CONDITIONS
HAZARDS
DISASTER
Theoretical and conceptual framework for analysis
Source: Wisner et al. At Risk (2004 edn)
The "egg hypothesis" Disaster
• prima facie causes
• root causes
• vulnerabilities
• dynamic pressures
Context
• general
vulnerability
• poverty
• deprivation
• marginalisation
HAZARD or
THREAT
SPECIFIC
VULNERABILITY
HUMAN
CONSEQUENCES
The 'hazardscape' or
the 'risk landscape'
WEAKENING of the
SOCIAL FABRIC
GENERAL
VULNERABILITY
HUMAN
CONSEQUENCES
The 'wreckage
economy'
Health
Employment
Services
• reduced
• rationed
• overpriced
Root
causes
Vulnerability Hazard
Risk Impact
context
Cascades
CASCADING
DISASTERS
Cascading disasters:-
• topping dominoes, knock-on effects
• compound and interconnected risks
• linked physical and social
vulnerabilities
• non-linear progress
• amplification of risks
• multiple scales
• secondary risks
C
E
E
E
E
C
E/C
E
E
E
E
E
E
E
E
E/C
(a)
(b) C – cause
E – effect
Escalation
points
(a) (b)
Escalation
Vulnerability
scenarios
Risk
scenario
Primary
impact
Secondary
impacts
Cascade
path
Cascade
path
Hazard
event(s)
After Nones & Pescaroli 2016, Pescaroli & Nones 2016
Interaction
between
vulnerabilities
Legislation
Management
Time-space
transitions
Time
Short/fast
Long/slow
Space
Restricted Extensive
Critical
infrastructure
Macro-level socio-
technical systems,
e.g. globalisation
Local & regional socio-
technical systems, e.g.
policies
Environmental
triggers (if any)
Impact and
feedback
Source: Pescaroli and Alexander, 2016
Vulnerability
loops
Primary
cause of
disaster
Impact on
critical
infrastructure
Impact on
housing
Impact on
productive
capacity
Direct
impacts
Indirect
impacts
Impact on
activities
Secondary
impacts
Impact on
livelihoods
Impact on
revenue
Secondary
cause of
disaster
Impact on
well-being
Impact on
safety
Impact on
recovery
A magnitude scale for cascading disaster
Critical infrastructure
complex, multi-dimensional networks:
chain effects with escalation points
CRITICAL
INFRASTRUCTURE
Technological
component
Social
component
Cyber
space
Physical
space
Water
treatment works Railway station
Fire station
Electricity sub-station
Broadband antenna
Hospital
Supermarket
Power station
Waste water
treatment works
FLOOD
SITUATION
Electricity failure
Water and sewerage failure
Refrigeration failure (food toxicity)
Banking failure
Food and fuel supply failure
Transportation failure
Social success or failure?
Communications failure
Knock-on effects of electricity failure:-
• water: no pumping, no wastewater discharge or
treatment
• energy: heat and air conditioning down, gas unusable
• food: no refrigeration; quick contamination
• health: reliance on hospital generators
• transport: no traffic control, no fuel pumping
• communications: no mass-communications at all
• finance: no money supply
• government: cannot communicate with the people
• emergency services: hampered and over-stretched.
Eyjafjallajökull volcano, April 2010
Eyjafjallajökull eruption affected:
• the cut rose industry
• symphony orchestras
• bone-marrow transplants
• aviation company share prices
• hotel room availability
• atmospheric modelling
• overcrowding levels at railway stations
• hotel room prices
• modal split (use of various transportation modes)
• taxi fares
• battle training
• atmospheric CO2 and SO2 levels - and much more
COMPLEXITY
Source: Pescaroli and Alexander, 2018
Earthquakes
Central Italy, January 2017: Connected Events
Snowfall isolation
Avalanche
Helicopter crash
Covid-19:-
• global disaster
• 'wave' disaster
• multiple hot-spots
• physical distancing
• no property damage
• huge economic damage
Earthquake:-
• regional-local disaster
• sudden impact
• localised hot-spots
• physical closeness
• huge property damage
• big economic damage
Hiatus of
strategy
Disease and infection
• transmissibility
• infection rate
Exposure
• front line workers
• Lock-down, shielding, isolation
Morbidity and mortality
• vulnerable categories
• environmental factors
Economic effects
• reduced commerce
• loss of employment
• business failure
• reduction in tax revenue
Social effects
• solidarity and voluntarism
• social tension
• protest, crime, 'deviant' behaviour
• social polarisation
Psychological effects
• increased mental illness
• depression
• family conflict
Policies, legislation,
communication
Recovery
• a new normal
• legacy
The environment in which
a pandemic occurs
PATIENT
WITHOUT
SYMPTOMS
PATIENT
WITH
SYMPTOMS
LOCKDOWN - CLOSURES - RESTRICTIONS ON MOVEMENT
TEST
CONFIRMED
FALSE
POSITIVE
FREE
RETEST
NOT
TRACED
TRACED
CLOSE
CONTACTS
ISOLATION
PRECAUTIONARY
QUARANTINE
TEST
HYGIENE
-
PHYSICAL
DISTANCING
LEVEL OF COMPLIANCE - POLICING OF MEASURES
TRUST
IN
AUTHORITY
HOW TO
MANAGE
CASCADES
Strategies for managing cascades
• do not focus only on the trigger of the
event
• consider the strategic and tactic levels
• encourage dialogue between professional
fields
• policies and plans must
take account of
possible ascades
Strategies for managing cascades
• broaden impact analysis
• use impact trees
• identify
escalation points
• subject them to
'stress tests'
We need to analyse:-
• context of hazards and threats
• total risk environment
• interaction between hazards
• different pathways of simultaneous
hazard impacts
• how to manage complex
impacts with foresight
SOCIAL AND IDEOLOGICAL COMPLEXITY
Herbert Simon's
homo Ĺ“conomus
Bounded rationality
Satisficer
Optimiser
Ideologue
racist
suprematist
oligarch
Evolution Protest Revolution
Internet and
social media
1950s 2020s
Cyber crime
(illegal activity)
deception
theft
Digital terrorism
(sabotage)
computer viruses
ransomware
Digital influence
(subversion)
spreading
false
information
Digital extremism
(on-line intervention)
conspiracy theories
character assassination
incitement to violence
MISUSE OF
THE INTERNET
AND SOCIAL
MEDIA
INTERSECTIONALITY
SOVEREIGNTY DEMOCRACY
MOBILITY IDENTITY
HUMAN RIGHTS LEGALITY
ENTITLEMENT CORRUPTION
WELFARE
COMPLEX DISASTERS
Perceived
reality
Objective
reality
Perception gap
Measurement Estimation
Intuition
Experience
Suggestibility
"Manufactured"
reality
Politics in the service of economics
DISASTER
POLITICS ECONOMICS
SOCIAL
CONDITIONS
PHYSICAL
IMPACT
VULNERABILITY
Knowledge is ideology
Underlying risk drivers
Complexity
Ideology
• extremism
• separatism
• isolationism
• exclusion
Conflict
Climate change
Demographic change
• human mobility
Culture
Technology
LOSS OF
HUMAN RIGHTS
PROXY WAR,
CONFLICT &
POLARISATION
POVERTY &
MARGINALISATION
'WRECKAGE ECONOMY' &
RISE OF THE PRECARIAT
LACK OF
DISASTER
GOVERNANCE
CORRUPTION &
LOSS OF TRUST
ANOMIE
NIHILISM
constraints upon life and safety
Anomie (Durkheim 1893) is a condition
of instability resulting from
a breakdown of standards
and values or from
a lack of purpose
or ideals.
CONCLUSIONS
Conclusions:-
• all medium and large disasters
involve cascades
• major network failures will have
long-term effects
• six months with no electricity grid or no
civil aviation is not impossible
• network and complex failure can lead to a
geometric increase in the complexity of
the recovery process
Conclusions:-
• society is complex: all disasters of a
certain size will involve cascades
• more investigation of operational
components is needed
• we need to understand how people
behave in cascading crises
• we need to investigate more case studies
Direct causes:
practical problems
contributing to disaster
Long-term causes
(dynamic pressures):
predisposition
to create disaster
Root causes:
motivating and
underlying factors
Local
cascading
effects
National
cascading
effects
International
cascading
effects
Escalation
factors
Context
david.alexander@ucl.ac.uk
emergency-planning.blogspot.com
www.slideshare.com/dealexander
Thank you
for
listening!

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