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Integrating Asset Management Processes
and Data at Colorado DOT
Successful Asset Management
Business Models and
Barriers to Their Implementation
Scott Richrath
Performance & Policy Analysis Manager
Colorado Department of Transportation
Annual TRB / ABC 40
January 22, 2012
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Integrating Asset Management Processes
and Data at Colorado DOT
• State of the State – CDOT today
• Ideal State – Best Practices
• Moving Forward – CDOT tomorrow
2
Successful Asset Management
Business Models and
Barriers to Their Implementation
Colorado
• 5 MPO’s
• 88,389 centerline miles
9,109 CDOT
58,778 County
15,675 City
4,827 Other
CDOT
• 3,000+ employees
• 6 engineering regions
• ~$1 billion annual budget
About Colorado & CDOT
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Asset Data Users
Asset Data Stewards
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Collect
• Field Data Collection
• Imagery-Based Data Collection
• Mobile Data Collection
Update
• Historical Records
• Project-Level Data Collection
• Field Inspections
Maintain
• Standard Operating Procedures
• Preventative Maintenance Procedures
• Scheduled Network-Level Data Collection
Management of Asset Data
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Source: Data Transfer Solutions
Asset Data Stewards
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CDOT
Policy
Linear
Referencing
System
CDOT has one unified linear referencing system…
All roadway changes that affect the LRS will be
coordinated throughout CDOT.
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Lots of Assets. Lots of Data.
8 Source: EarthMine
Lots of Assets. Lots of Data.
More than 50 fields are available (not required)
in CDOT Maintenance Work Orders
within Enterprise Resource Planning software.
(Prior to ERP, >50 legacy systems.)
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Few Assets. Few Data?
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Data about Fences & Culverts
Owners / Originators
• Survey Unit – desktop or Document
Management System
• Maintenance & Operations – ERP
• Environmental – desktop
• Transportation Development – GIS
• Bridge (culverts) – PONTIS, desktop
Other Users
• Traffic Safety – TS Assessment systems
• Access Management – desktop
• Design Engineering – CAD, desktop
• Others
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Managing Multiple Asset Categories
“PONTIS”
SAP
Pavement Analysis
Bridge Condition
Strategic Analysis
Including Funding
Needs & Trade-offs
Multi Asset
Management System
Maintenance LOS
SAP ITS
SAP
Fleet
dTIMS CT
Managing Multiple Asset Categories
About 3,000 assets in each asset category.
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CDOT Self-Assessment
Group Gap
Avg Hi Lo
Policy Guidance 1.57
Planning & Programming 1.76
Program Delivery 1.90
Information and Analysis 2.09
Overall 1.88
Data
Questions
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Consultant Assessment of CDOT
Level 0 – Ad Hoc 1 - Aware 2 - Planning 3 - Defined 4 - Managed 5 – Integrated 6-Continuous
Improvement
Tech /
Tools No tools in
place
Planning for tools
to support data
management in
some offices
Planning for tools to support
data management across
agency or for a specific
office.
Implemented some
tools to support data
management but not
widespread across
agency.
Widespread
implementation of
tools to support data
management but not
integrated
Integrated,
widespread
implementation of
tools to support data
management and
performance
measurement
Ongoing assessment of
new technology to
support and improve data
management and
performance
measurement.
People
Not aware of
need for
improved data
management
to support
performance
measurement
processes
Aware of need for
improved data
management to
support
performance
measurement
processes /
No action has
been taken
Aware of need for
improved data
management to support
performance
measurement processes .
Some steps have been
made within agency to
improve technology or
institutional setting to
support data management
in at least one office.
Aware of need for
improved data
management to support
performance
measurement processes
/
Some steps have been
made within agency to
improve both technology
and institutional setting to
support data
management in more
than one office
Aware of need for
improved data
management to
support performance
measurement
processes /
Improvements are
under way to improve
both technology and
institutional setting to
support data
management across
the agency
Aware of need for
improved data
management to
support performance
measurement
processes /
technology and
institutional processes
are in place to support
data management for
performance
measures
Agency is able to develop
performance measures
and predict outcomes for
programs based on
success with other
programs.
Process No data
governance in
place
Agency is
discussing
needs/plans for
data
governance.
Some level of data program
assessment and formulation
of roles for data managers is
underway in one or more
offices of agency.
Data Business Planning
underway – including
development of
governance model for
multiple offices in agency.
Data Business Plan
developed with data
assessment complete
and data governance
structure defined
Fully operational data
governance structure
in place
Data governance
structure fully supports
data management
activities across the
agency.
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Colorado Department of Transportation’s
Asset Management Journey
• State of the State – CDOT today
• Ideal State – Best Practices
• Moving Forward – CDOT tomorrow
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Successful Asset Management
Business Models and
Barriers to Their Implementation
Effective Asset Management
Policy-driven
Performance-based
Analysis of options and tradeoffs
Decisions based on quality information
Monitoring provides clear accountability
and feedback
Source: Asset Management for Sustainability, Accountability, and Performance
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What is quality information?
MIRE has 114 roadway segment descriptors
• Descriptor #1: County Name
• Definition: The name of the county or equivalent entity where the segment is located.
• Attributes: The county name or equivalent entity where the roadway segment is located.
• Priority: Critical HPMS/Tool
• Requirements: HPMS (Full Extent), HSM/IHSDM (Required), Safety Analyst (Required Conditionally)
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How do you integrate?
Structure A
Source: Asset Management for Sustainability, Accountability, and Performance 20
Structure A
DATA
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Structure B
Source: Transportation Asset Management Guide 22
Proposed CDOT Structure
Citizen Value, Performance,
Levels of Service
Data & Information
Management
Program Management,
Project Delivery
Financial Management
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Colorado Department of Transportation’s
Asset Management Journey
• State of the State – CDOT today
• Ideal State – Best Practices
• Moving Forward – CDOT tomorrow
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Successful Asset Management
Business Models and
Barriers to Their Implementation
Moving Forward
• Data Collection for maintenance, traffic operations, and
environmental assets
• Developing business plan to maintain data.
• Public Budget Formulation in ERP
• Linking spending to asset performance.
• Data Integration Business Plan → Data Governance
• Value data as an asset.
• Multi-Asset Management System
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Successful Asset Management
Business Models and
Barriers to Their Implementation
Prioritize Data Governance
X
Probability
Risk Assessment Evaluate the probability and impact of failed data management.
Imp
ac
t
Costs
Benefit-Cost Evaluate the benefits and costs of proper data management.
Ben
efi
ts
X
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“PONTIS”
SAP
Pavement Analysis
Bridge Condition
Strategic Analysis
Including Funding
Needs & Trade-offs
Multi Asset
Management System
Maintenance LOS
SAP ITS
SAP
Fleet
dTIMS CT
Managing Multiple Asset Categories
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Increased Use of Technology
28 Source: EarthMine
29 Source: EarthMine
30 Source: EarthMine
Other Use of Mobile Technology
Concept of Operations Pilot • MPO-CDOT-Local joint project
• Sponsored in part by SHRP 2 L05
• The purpose of this Pilot Implementation is to evaluate
the feasibility of determining performance measure
indices on arterial roadways.
• If this Concept of Operations is proven, future
implementations may utilize other technologies
– Bluetooth readers
– license plate recognition devices
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Successful Asset Management
Business Models and
Barriers to Their Implementation
Integrating Asset Management Processes
and Data at Colorado DOT
Scott Richrath
Colorado Department of Transportation
303-757-9793
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