From Risk Analysis to Creating...
Transcript of From Risk Analysis to Creating...
Beyond The Risk Register –
From Risk Analysis to Creating Strategies
Larry Redd, P.E. – Redd Engineering William Johnson – Colorado DOT
Redd Engineering
Risk Register Framework
2
Risk Level
Asset Class Event/Occurrence Prob Safety Mobility
Asset Damage
Other Financial
ImpactRisk
Score
Project All
Flooding (or any inclement weather event) (resulting in long term impacts -- damage to assets, requiring replacement)
4 5 5 5 5 20.0
Agency ALLUncertainties that affect reaching performance targets; including revenue, costs, processes, etc.
4 3 3 2 4 12.0
Project TrafficWind damage to high-mast lighting, signals, overhead signs, VMS 4 1 2 3 2 8.0
Program ALLUncertainties that affect the ability to deliver projects as intended, and on time, within budget
5 3 3 1 3 12.5
Consequence Score
Overall Risk Analysis Pareto
3
Risk
Sco
re --
per
Risk
Risks Analyzed
0.0
5.0
10.0
15.0
20.0
25.0
30.0
0 20 40 60 80 100 120
Overall Risk Scores by Asset Class – From the Risk Register
4
0
20
40
60
80
100
120
Sum of Risk Scores >10.0
A Completed Register – But… “Where do we go from here?” • Corridor-based risks
– Risks that have a location (geospatial) component – Examples -- rock fall, culvert failure, ITS/signs, etc.
• Risks to infrastructure performance – Uncertainties regarding the achievement of
performance goals (costs, revenue, models, processes) • Project Delivery risks
– Programmatic/systemic issues such as chronic delays, splits, overruns, & not delivering projects as intended
– Project-specific risks to cost and schedule
Risk Impacts in Transportation
• Safety – crashes, injuries, fatalities, property damage
• Mobility and trip time reliability • Costs of fixing the damage • Other economic costs – lack of access,
interrupted commerce • Performance costs – not delivering projects as
intended, and/or not hitting targets
Approaches to modeling risk
Hazard/Risk Index (top down)
Pros: fast, low data requirements, output easy to understand Cons: Low resolution, subjective
Historical Scenario (mix of top down and bottoms up)
Pros: based on event-specific data, good for frequent hazards Cons: misses extreme events, and site-specific risk event outcomes
Probabilistic (bottoms up)
Pros: accounts for both frequent/low-impact and rare/extreme events, for each site Cons: high data/expertise requirements, need to ensure outputs can be understood
Incr
easin
g Ef
fort
& C
ompl
exity
Landslide hazard assessment Required data: • Height and angle of the
natural slope • Height and angle of the
cut/fill slopes • Slope material • Evidence of seepage on
the slope • Vegetation • Reinforcement (walls,
gabion baskets, etc.) • Expected rainfall
frequency/intensity • Inventory of past
landslides • …
Bridge Scour Risk
• Scour #1 Failure Mode – Scour Plan of Action (POA)
required by FHWA – Structure Collapse – Wildfire concerns
10
Costs of a Bridge Scour
11
Averaging about 1 major scour event each 2 years.
$66,630
1999 estimate is $12.16. Current values may be estimated by using the Consumer Price Index to determine the inflation factor. (Average wage in 1999 $30,469, in 2011 $42,979 (ssa.gov). 41% Increase)
Levels of Capability – Locating Risks
time
• Full Geospatial Risk information
• Risk Costs by Site/Location
Risk Management Capabilities
“Intermediate” Risk Mgmt Capabilities
• Total risk costs/score by corridor • Risk scores for each asset class by corridor • Strategy implications – project formulation
and packaging considerations • Allocation of funding (by region, asset type)
Mature Risk Mgmt Capabilities
Redd Engineering
Spread Risk Scores by Corridor
13
Risks Corridor 1 Corridor 2 Corridor 3 Corridor 4 Corridor 5
Framework – “Top 50 Risks” i.e. Risks with scores > 10 17 Corridor Types 8 Asset Classes
“This approach of assigning risk scores to locations enabled CDOT to analyze risk across asset classes and risk event types for the entire highway network, incorporating asset manager feedback on the impacts of risks related to terrain and traffic volumes.” JoAnn Mattson Project Manager, Risk-Based Asset Management Colorado DOT
Total Risk Score per Mile for Each Corridor Type
15
Mtn Rural -- Interstates -- Other H.T.
Mtn Urban Other Plains Urban I/S
Rolling Urban I/S Plains Rural I/S
Rolling Rural I/S
Risk per Mile for Each Asset Class (two corridor types shown here)
16
Risk score per mile Mountain Rural Interstates
Risk score per mile Plains Rural Medium Traffic, Non I/S
Project Costs
Available Revenue
Modeling Uncertainties
Project Formulation Processes
Performance Uncertainties Variability, Volatility of Parameters
Redd Engineering
Performance Risks and Process Improvement Use of Leading and Lagging Indicators
Strategic Goals - Long-range planning - Balanced Scorecard - Performance Targets
Analysis - Mgmt System runs - Program Tradeoffs - Project Optimization - District input
Programming - 10 yr horizon - Fiscally constrained - Funding uncertainties - 6-yr STIP
Work Gets Done - Projects completed - Conditions monitored - Plan vs. Actual Results - Feedback to Decision Makers
“Plan”
“Do”
“Check” “Act”
Redd Engineering
Root Causes of Plan/Actual Gaps – Enabling Process Improvement
• Good targeting • Tight Processes • Low Uncertainty
(cost or revenue) • Good Modeling
• Targeting issues • Tight Processes • Low Uncertainty
(cost or revenue) • Modeling issues
• Good targeting • Loose Processes • High Uncertainty
(cost or revenue) • Modeling issues
• Targeting issues • Loose Processes • High Uncertainty
(cost or revenue) • Modeling issues
Redd Engineering
23
Overall Results -- CDOT
• Ability to analyze risks by location (geospatially), along with performance-based opportunities
• Processes and tools to formulate projects, considering both performance and risk-based opportunities
• Ability to include risk in overall investment and resource allocation decisions
• Ability to consider performance-related uncertainties in planning, target-setting, and project delivery processes – Gap analysis of projected (planned) performance versus actual – Making improvements in planning and project scoping processes – Reducing losses due to chronic project delivery issues
Contact Info
• Larry Redd, P.E., Redd Engineering • [email protected] • 970-219-4732 • www.larryreddllc.com
“Gap” Influences for Pavement
Gap Amount
Prediction Date
+4 +8 Prediction Time Horizon -- Years
Gap Influences – up to four yrs 1. Funding variations from the
inputs to “predictive analysis” -- Major
2. Modeling inaccuracies -- Minor
3. “Committed projects” that do not get completed as intended -- Minor
Gap Influences – past four yrs 1. Funding variations from the
inputs to “predictive analysis” -- Major
2. Modeling inaccuracies – Major
3. The “20% Wiggle Room” in the Match Indicator – Medium
Risk Management Strategy Development
Event/Occurrence Ris
k M
anag
emen
t Stra
tegy
(T
reat
, Tol
erat
e, T
rans
fer,
Term
inat
e)
Ben
efit
in %
Ris
k Sc
ore
Red
uctio
n
Ann
ual C
ost o
f Stra
tegy
-- $
mm
Ow
ner
Flooding (or any inclement weather event) (resulting in long term impacts -- damage to assets, requiring replacement)
Treat - determine risk and resilience strategy and organizational structure and communication plans to support future events
5.0% 0.50
Dir of Office of Emerg Mgmt for response; multiple cdot roles working on strategy
Vehicle damage to buildings, CDOT or other vehicles, including the traveling public,
Tolerate or treat 50.0% 0.2Property Mgmt Project Manager/State Buildings Delegate
Bridge Strike (Highest frequency) -- clearance less than 16 ft
Replace or raise low bridges, lower grade 65.0% 7.0
Bridge Engineer coordinating inspection, design and working with maintenance
FY 15 Investment Strategy Risks & Consequences
30
Risks
Scour
Bridge Strike
Rerouted commerce
Essential repairs
Likelihood
Most common Failure mode
1 every quarter
Daily
Monthly
Consequence
Bridge Failure & possible injury
Road closure & possible injury
Economic Impact & potential
failure
Lane closures & delays
Mitigation
Mitigation measures
average $535K
Bridge replacement
Bridge Rehab or replacement
Contingency Fund $5M
• “Extremes matter!” – Consider full range of frequent vs. “rare” occurrences – There is no “average culvert” – “The Black Swan”, by Nassim Taleb
• Consider a full range of strategies, such as:
– “Tolerate, treat (mitigate), transfer,…” etc. – How much to invest in a strategy? Are there tradeoffs? – Packaging of risk-based solutions
• Site-specific • Corridor-based • State-wide or regional/district-based programs/projects
Some Basics of Good Risk Analysis
Redd Engineering
Profound Discoveries… (cont.)
• It is lucrative to manage risk opportunities -- – Thorough analysis can identify the best opportunities, e.g.:
• Geohazards “risk costs” in the tens of $millions (CDOT) • Performance and project delivery uncertainties can cost
up to 5% in losses (WYDOT)
– “Hey, we can fix that”, with good management strategies: • Using new and innovative methods and tools • Lower the impact, transfer the risk, lessen the
uncertainty, fix your processes, etc. • Lead time on risk analysis can be long, so get started
Redd Engineering
Evaluating Risk-Based Opportunities
1. Identify and quantify risk event types, locations, etc. 2. Identify & define risk management strategies 3. Calculate the costs and benefits of each strategy 4. Determine how to “package” risk management
solutions for maximum impact 5. Prioritize candidate solutions 6. Include risk opportunities in overall asset
management investment tradeoff analysis
Redd Engineering
34
Steps We Followed
1. Identified risk event types, levels, assets affected 2. Built a “Risk Register” – with probabilities/consequences
for each risk event type, and strategies with Benefit/Cost 3. Categorized risks:
a) Such as network, performance, & project delivery risks 4. Defined tools and processes to manage these risks 5. Located risks on the network (Lat./Long., LRS), thus
enabling project formulation & scoping that include risk 6. Defined process for formulating and “packaging” risk-
based and performance-based opportunities