Upload
shonda-mcgee
View
214
Download
0
Tags:
Embed Size (px)
Citation preview
TARGET SETTINGTARGET SETTING
TEXAS STYLETEXAS STYLE
Mary Meyland, P.E.Director, SPPM Office, TxDOT
Performance Management Peer ExchangeChicago July 26, 2010
Session 2
Needs & encumbrances A BASEBALL
Revenues A GOLF BALL
Challenge A TENNIS BALL
LESS:
EQUALS:
Stimulus funds AN AIR-RIFLE BB
Texas Transportation System FundingA Sports Analogy
2009 – 2030 Time Horizon
Current Funding: Texas Pavement Quality
0
10
20
30
40
50
60
70
80
90
100
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2031
2032
2033
2034
2035
"Goo
d" or
Bet
ter S
core
(%)
Year
MeasuredPerformance
PredictedPerformance
$41 Billion to keep at 90% Maximum annual rate
of loss = $5 Billion
POSSIBLE POLICY REMEDY: ROAD TIERS
“all roads are not created equal”(An idea close to tyranny in Texas)
How: Establish priority tiers of •roads and bridges, •maintained at different standards or condition targets
designed to maximize return of available revenue to the condition of the system.
But how to do we set these condition targets?
•• All 50 states were asked to complete a All 50 states were asked to complete a 1313--questionquestion survey. survey. •• At least 20 DOTs use MultiAt least 20 DOTs use Multi--Tier GoalsTier Goals•• Several other DOTs are Currently Considering MultiSeveral other DOTs are Currently Considering Multi--Tier Tier
Goals for the First Time.Goals for the First Time.
Aspects in Common...Aspects in Common...•• Financial ConstraintsFinancial Constraints•• Min/Max GoalsMin/Max Goals•• Focus on Statewide Priorities Instead of on Geographic Focus on Statewide Priorities Instead of on Geographic
DistributionDistribution•• Establish Public/Legal ExpectationsEstablish Public/Legal Expectations
The reports can be found in the following locations:The reports can be found in the following locations:
http://txspapp1/cst/ppo/White%20Papers/Multihttp://txspapp1/cst/ppo/White%20Papers/Multi--Tier%20Goal%20Interim%20Report%201%20Apr%2030%202010.pdfTier%20Goal%20Interim%20Report%201%20Apr%2030%202010.pdfhttp://txspapp1/cst/ppo/White%20Papers/Multihttp://txspapp1/cst/ppo/White%20Papers/Multi--Tier%20Goal%20Interim%20Report%202%20May%2024%202010.pdfTier%20Goal%20Interim%20Report%202%20May%2024%202010.pdf
State DOT MultiState DOT Multi--Tier Goal SurveyTier Goal Survey
Three-Tiered System –– Feb. 2010
Four-Tiered System –– June 2010
TWO BASIC APPROACHES TO TIER TARGET SETTING:
1. Ad-hoc “Engineering Judgement”• Trial-and-error• No explicit decision rules• “Satisficing” – use first feasible solution
2. Structured “Goal Programming” technique• High-efficiency algorithm, not trial & error• Consistent decision rules (transparent)• Optimizing – best solution by some criterion
AD-HOC TRIAL-AND-ERROR PROCESS:
Iteration 1
TIER GOAL COST
1 90% $300
2 80% $250
3 70% $150
Total $700
Budget = $500 Million
won’twork Iteration 2
TIER GOAL COST
1 ??% $ ???
2 ??% $ ???
3 ??% $ ???
Total $ ???
will itworknow ?
GuessAgain.
Tweakgoals –
Which?How much?
make guesses…
ATTRIBUTES OF “GOAL-PROGRAMMING” MODELS
• Data driven Costs of traffic delay and improvements
• Fast scenario generation uses the Excel “Solver”
• Includes all considerations as decision rules: Public preferences of minimal condition DOT policy ideal condition goals Economic value of traffic
→ Produces the optimal set of tier targets
Goal Model Definitions
“Goals” - these are user defined aspirational (if I ruled the world) goals. TxDOT analysis has proven that a good-or-better roadway condition exceeding 90% is not cost-effective. Texas Transportation Commission set our 90% goal in 1991.
“Targets” – these are the model determined realistic levels of service for the tiers constrained by the available budget.
MATHEMATICAL DEFINITION OF PRIORITIES:
Highway Tier Target Conditions: Score 1 > Score 2 > Score 3 Higher tiers need better conditions than lower.
Costs of Deviations from Goals: Weight 1 > Weight 2 > Weight 3 Deviating from high-tier goals are worse than deviating from lower goals.
ScoreGoals
Maintenance Budget = $400,000,000TIER 1: 90 Magnitude of the problemTIER 2: 90 Cost to meet Goals = $945,000,000TIER 3: 90
TIER PARAMETERS: Score Current Penalty Upper Lower Goals Scores Weights Limits Limits
TIER 1: 90 85 67 90 50
TIER 2: 90 80 17 90 50
TIER 3: 90 87 16 90 50
RESULTS:
Cost to meet Goals = $945,000,000
FINAL FINALTARGETS ALLOCATIONS
TIER 1: 88 $250,000,000
TIER 2: 80 $150,000,000
TIER 3: 70 $100,000,000
TOTAL $400,000,000
FINAL TARGET SCORES:
The Final Scores are those tier scores which minimize the sum of the weighted deviations from the Goals while fitting within the budget and meeting the priority criteria and staying within the upper and lower limits.
MATHEMATICAL DEFINITION OF PRIORITIES:
Highway Tier Target Conditions: Score 1 > Score 2 > Score 3
Costs of Deviations from Goals: Weight 1 > Weight 2 > Weight 3
Higher tiers need better conditions than lower.
Deviating from high-tier goals are worse than deviating from lower goals.
THESE BECOME EQUATIONS IN THE MODEL
ScoreGoals
TIER 1: 90TIER 2: 90TIER 3: 90
Maintenance Budget = $400,000,000
Cost to meet Goals = $945,000,000
Aspirational goals – if you had all the money in the world
Enter the budgetscenario.
Computed by the model from above aspirational goals.
TIER PARAMETERS: Score Current Penalty Upper Lower Goals Scores Weights Limits Limits
TIER 1: 90 85 67 90 50
TIER 2: 90 80 17 90 50
TIER 3: 90 87 16 90 50
Aspirational goals – if you had all the money in the world – these were established by Commission in 2001.
Tier conditions at present
Cost of delay of traffic on tiers, used as the measure of “badness” of deviating from goals.
Policy variables
RESULTS:
Cost to meet Goals = $945,000,000
FINAL FINALTARGETS ALLOCATIONS
TIER 1: 88 $250,000,000
TIER 2: 80 $150,000,000
TIER 3: 70 $100,000,000
TOTAL $400,000,000
FINAL TARGET SCORES:
The Final Scores are those tier scores whose cost fit within the budget of $400,000,000 and meet the priority criteria and stay within the upper and lower limits. And optimal: minimize total (weighted) deviations from the aspirational goals.
FOLLOW-UPS:
For status of Texas project, contact [email protected]
For expertise and assistance, contact the schools of Operations Research, Business, or Industrial Engineering of your major universities.
For more information on Goal Programming:• Textbook chapter pdf in meeting record• Google “goal programming in Excel”