Asset Management Data Collection for Supporting Decision...
Transcript of Asset Management Data Collection for Supporting Decision...
Asset Management Data Collection for Supporting
Decision ProcessesJames W. Bryant, P.E., Ph.D.James W. Bryant, P.E., Ph.D.Asset Management Performance ImprovementVirginia Department of Transportation
AristeidisAristeidis Pantelias, Gerardo W. FlintschPantelias, Gerardo W. Flintsch& Chen Chen& Chen ChenRoadway Infrastructure Group, VTTIVirginia Polytechnic Institute and State University
TRANSPORTATIONINSTITUTE
6th National Conference on Transportation Asset Management
OverviewOverview
IntroductionIntroductionLiterature ReviewLiterature ReviewWebWeb--based Surveybased SurveyProposed Data Collection FrameworkProposed Data Collection FrameworkFindings, Conclusions & Findings, Conclusions & RecommendationsRecommendations
IntroductionIntroduction
Data collection is a key part of Asset Data collection is a key part of Asset ManagementManagementTransportation agencies collect data Transportation agencies collect data for their assets in order to support for their assets in order to support decision makingdecision makingData collection activities do not always Data collection activities do not always specifically support decision processesspecifically support decision processes
Research ObjectiveResearch Objective
1.1. Investigate how data collection is Investigate how data collection is linked with decision processes linked with decision processes ––especially at the Project Selection levelespecially at the Project Selection level
2.2. Propose a framework for effective and Propose a framework for effective and efficient data collection to support efficient data collection to support Project Selection decisionProject Selection decision
Literature ReviewLiterature Review1. Asset Management1. Asset Management
Most transportation agencies around Most transportation agencies around the world have begun moving towards the world have begun moving towards Asset Management Asset Management Primarily by considering the integration Primarily by considering the integration of individual management systemsof individual management systemsSome organizations are trying to Some organizations are trying to develop comprehensive Asset develop comprehensive Asset Management SystemsManagement Systems
Literature ReviewLiterature Review2. Decision Levels2. Decision Levels
The levels of decision making are:The levels of decision making are:Strategic LevelNetwork Level
ProgrammingProject Selection
Project Level
Different focus/impact on the systemDifferent focus/impact on the systemRelate to different decision processesRelate to different decision processes
Literature ReviewLiterature Review3. Decision Processes & Data Needs3. Decision Processes & Data Needs
Increase in Detail and Quantity of Data
Higher Decision Making
Level
Strategic
Level
Network Level
Project Level
Programming Level
Project Selection Level
TRANSPORTATION ASSET TRANSPORTATION ASSET MANAGEMENT SURVEYMANAGEMENT SURVEY
TAM Survey TAM Survey -- Part 1Part 1
General Agency Information on Asset General Agency Information on Asset ManagementManagement
Endorsement and implementationExisting/planned individual management systemsExisting levels of decision makingIdentification/ rating of decision processesIdentification/ rating of Project Selection criteria
TAM Survey TAM Survey -- Part 2Part 2
Roadway Asset ManagementRoadway Asset ManagementData management, collection methods and integrationRationale behind existing/ planned data collectionEvaluation of roadway asset data for Project SelectionIdentification of links between Project Selection and data collection activities.
TAM Survey TAM Survey -- DevelopmentDevelopmentWeb page developed using Macromedia Web page developed using Macromedia Dreamweaver and Dreamweaver and PhPPhPWeb page uploaded @ Web page uploaded @ www.am.vtti.vt.eduwww.am.vtti.vt.eduDatabase created using MySQLDatabase created using MySQLAccess to the survey was granted through Access to the survey was granted through recipients’ email addressesrecipients’ email addressesSent to 103 transportation officials in all 50 Sent to 103 transportation officials in all 50 US DOTs and Puerto RicoUS DOTs and Puerto RicoOpen for responses for 3 weeksOpen for responses for 3 weeks
TAM Survey TAM Survey -- AnalysisAnalysis
48 responses were received from 40 48 responses were received from 40 statesstatesResponse rates:Response rates:
78% in terms of individual states47% in terms of individual respondents
Statistically analyzedStatistically analyzed
TAM Survey TAM Survey -- Results Results Part 1Part 1
Implementation of Asset Management Implementation of Asset Management systemsystem
24 states are in still in the planning phase11 states have already implemented one
Individual management systemsIndividual management systemsPavements (39)Bridges (39) Maintenance (32)
TAM Survey TAM Survey -- Results Results Part 1Part 1
Integration of individual systemsIntegration of individual systemsMost States are still in the planning phaseMost integration efforts have taken place for Pavement and Bridge management systems (20 states)
Defined Decision Making LevelsDefined Decision Making Levels
0
5
10
15
20
25
30
Num
ber
of r
espo
nses
No. 5 23 27 27 23 3
No explicit definition Strategic Level
Programming and Budgeting
Level
Project Selection
LevelProject Level Don't know
0%
20%
40%
60%
80%
100%Pe
rcen
tage
of t
otal
re
spon
ses
Policy formulation
Performance evaluation and monitoring
Fiscal planning
Program optimization and trade-offs
Development of alternatives
Impact analysis
Performance-based budgeting
Project selection
Resource allocations
Program delivery/ project implementation
Audit, reportin
g and communication
Don't know
Not at allimportantNot veryimportantSomewhatimportantVery important
Please rate the following Asset Management decision processes interms of their relative importance within your agency/organization.
Ranking of Asset Management Decision ProcessesRanking of Asset Management Decision Processes
Key: 4 = Very Important, 3 = Somewhat Important, 2 = Not Very Important, 1 = Not Important at All
2.65Impact analysis2.77Development of alternatives2.81Audit, reporting and communication2.96Performance-based budgeting3.02Program delivery/ project implementation3.10Program optimization and trade-offs3.13Policy formulation3.31Resource allocations3.33Project selection3.48Fiscal planning3.54Performance evaluation and monitoring
Average RankingAsset Management Decision Processes
0%
20%
40%
60%
80%
100%Pe
rcen
tage
of t
otal
re
spon
ses
Available budgets/ earmarked funds
Project signific
ance
Usage of project
Proximity of project to major urban areas
Ease/ difficulty of im
plementation
Engineering parameters
Geographic distribution of projects/ f
unds
Distribution among asset types
Public demands/ user opinion
Environmental considerations
User costs/ benefits
Agency costs/ benefits
Community costs/ benefits
Don't know
Not at allimportantNot veryimportantSomewhatimportantVeryimportant
Please rate the following criteria according to their level of importance for selecting projects that are candidates for funding
and implementation within your agency/organization
Ranking of Project Selection CriteriaRanking of Project Selection Criteria
Key: 4 = Very Important, 3 = Somewhat Important, 2 = Not Very Important, 1 = Not Important at All
2.25Proximity of project to major urban areas2.38Ease/ difficulty of implementation2.46Distribution among asset types2.65Community costs/ benefits2.77User costs/ benefits2.83Geographic distribution of projects/ funds3.06Environmental considerations3.08Usage of project3.19Agency costs/ benefits3.27Project significance3.27Public demands/ user opinion3.44Engineering parameters3.75Available budgets/ earmarked funds
Average RankingProject Selection Criteria
TAM Survey Results TAM Survey Results Part 2Part 2
Asset Management roadway databaseAsset Management roadway database75% have already developed one (30)Majority of remaining states (5) are in planning phase
All agencies collect data for pavements All agencies collect data for pavements and bridgesand bridges
Roadway Asset Data Collection Types & MethodsRoadway Asset Data Collection Types & Methods
0
10
20
30
40
Num
ber
of r
espo
nses
Both 5 15 25 16 13 4Automatic 1 3 12 2 6 0Manual 21 13 3 22 11 15
Drainage Roadside assets Pavements Bridge Traffic
itemsSpecial
facilities
Agency Data Collection RationaleAgency Data Collection Rationale
0
5
10
15
20
25
30
Num
ber
of r
espo
nses
No. 30 22 21 2
Historical practice and staff experience
Data collection standards
Needs of systems/ processes Don't know
0%
20%
40%
60%
80%
100%
Perc
enta
ge o
f tot
al
resp
onse
s
Location
Attributes/ c
haracteristics
Structural condition
Functional condition
Initial agency costs
Life Cycle CostsUsage
Customer/ user fe
edback and complaints
Don't know
Not at allimportantNot veryimportantSomewhatimportantVeryimportant
Which roadway asset data are most important in your agency’s view for the selection between two projects, e.g. between different pavement projects or
between a pavement project and a bridge project?
Ranking of Roadway Asset Data for Project Ranking of Roadway Asset Data for Project SelectionSelection
Key: 4 = Very Important, 3 = Somewhat Important,2 = Not Very Important, 1 = Not Important at All
2.67Location2.83Customer/ user feedback and complaints2.90Attributes/ characteristics2.96Life Cycle Costs3.23Initial agency costs3.29Usage3.67Functional condition3.77Structural condition
Average RankingRoadway Asset Data
Link Between Data Collection & Project SelectionLink Between Data Collection & Project Selection
0
5
10
15
20
25
Num
ber o
f res
pons
es
No. 13 21
Only identified Identified and documented
52.5
% o
f Age
ncie
s
32.5
% o
f Age
ncie
s
Project Selection Data Collection Project Selection Data Collection FrameworkFramework
Identification of candidate projects and corresponding treatments for all assets under consideration
Identification of project evaluation/assessment tools and their requirements
Identification and/or definition of data needs for the analyses/evaluations to be performed
Identification of existing databases and data quality assessment
Identification of missing data elements
Selection of the appropriate data collection methodology and implementation
FEEDBACK LOOP:
Evaluation of assessment tools/ data inputs/ data
collection and overall results
(Feedback to upper levels)STEP 1
STEP 2
STEP 3
STEP 4
STEP 5
STEP 6
Proposed Data Collection Proposed Data Collection FrameworkFramework
Framework can function as a starting Framework can function as a starting point for systematic data collection and point for systematic data collection and Project Selection decision makingProject Selection decision makingFramework leads to partial optimization Framework leads to partial optimization of data collection for Project Selectionof data collection for Project Selection
FindingsFindingsUS transportation agencies still collect data US transportation agencies still collect data predominantly based on past practices and predominantly based on past practices and staff experience. staff experience.
There is a trend towards following data collection standards and input needs
Most important criteria for Project SelectionMost important criteria for Project SelectionAvailable Budgets/ Earmarked FundsEngineering ParametersPublic Demands/ User Opinions
FindingsFindings
Most important data for supporting Most important data for supporting Project Selection:Project Selection:
Structural condition of assetFunctional condition of assetUsage of asset
ConclusionConclusionUS Transportation agencies have explicitly US Transportation agencies have explicitly defined decision levels and are moving defined decision levels and are moving towards rationalization of data collection towards rationalization of data collection activities. activities.
Past practices and staff experience →collection standards and input needs Agencies have identified links between data collection and decision making at the project selection level but not all of them have explicitly documented these links
Further ResearchFurther Research
Investigate champions in the fieldInvestigate champions in the fieldIdentify “Best Practices” Enhance data collection frameworkDevelop standards
Many Thanks to…Many Thanks to…
All survey respondentsAll survey respondentsAASHTO Task Force on Protocols, AASHTO Task Force on Protocols, Procedures, and Technology for Asset Procedures, and Technology for Asset Management Condition Data CollectionManagement Condition Data CollectionVT Statistics and Survey DepartmentVT Statistics and Survey DepartmentFederal Highway AdministrationFederal Highway Administration
Questions ?CONTACT INFORMATION:
James W. Bryant, Ph.D., P.E.Program ManagerAsset Management Performance ImprovementVirginia Department of Transportation