Transportation Asset Management: Planning, Analytics, and Investment Optimization

By the end of this course, you will be able to:

• Apply transportation asset management principles to align infrastructure decisions with organizational objectives and regulatory requirements

• Develop performance measures and Levels of Service that support planning, monitoring, and reporting

• Integrate condition, risk, lifecycle, financial, and operational data to evaluate asset needs and investment options

• Prioritize maintenance and capital investments using structured, risk-based decision frameworks

• Build and interpret Power BI dashboards that communicate asset performance and support evidence-based decisions

Description

Transportation infrastructure decisions must account for aging assets, constrained funding, climate-related risks, changing service expectations, and long-term network performance. When asset information is incomplete, fragmented, or disconnected from organizational priorities, it becomes difficult to justify investments, compare intervention options, and direct resources where they will provide the greatest value.

This course provides a structured approach to managing transportation assets using performance measures, Levels of Service, lifecycle analysis, risk assessment, and investment prioritization. You will learn how to connect asset condition, operational, financial, maintenance, and spatial data to support defensible decisions. Practical exercises will help you evaluate investment alternatives, develop performance frameworks, and establish priorities for roads, bridges, culverts, and other transportation assets.

You will also learn how to use Power BI to organize, analyze, and communicate transportation asset information. Through applied workshops and case studies, you will develop dashboards, executive scorecards, and decision frameworks that support capital planning and performance reporting. The course will help you contribute to Transportation Asset Management Plans that align with ISO 55000 principles, Ontario Regulation 588/17, and broader organizational objectives.

Who Should Attend

This course is designed for:

• Transportation engineers

• Municipal and public works engineers

• Asset management professionals and coordinators

• Transportation and infrastructure planners

• Capital planning specialists

• Transportation program and corridor managers

• Operations and maintenance managers

• Transportation data and business intelligence analysts

• GIS professionals

• Infrastructure consultants

• Professionals working with municipal, regional, or provincial transportation agencies

• Infrastructure owners and operators

Participant Requirements

Participants are encouraged to install Power BI Desktop before the course.

DAY 1

Module 1: Strategic Transportation Asset Management

• Transportation asset management maturity

• Strategic versus operational decision-making

• Aligning transportation investments with organizational objectives

• Enterprise asset management principles

• Governance and decision frameworks

• Ontario Regulation 588/17 requirements

• Industry best practices and emerging trends

Module 2: Measuring Transportation System Performance

• Customer and technical Levels of Service

• Performance-based asset management

• Transportation performance measures

• Key Performance Indicators (KPIs)

• Asset health indicators

• Benchmarking and performance reporting

Module 3: Data Analytics for Transportation Asset Management

• Asset data governance

• Data quality management

• Enterprise data integration

• GIS and spatial analytics

• Financial and maintenance data integration

• Data maturity assessment

 Workshop- Transforming Data into Decisions

Analyze transportation datasets and identify opportunities to improve decision-making through analytics and forecasting. Develop a transportation performance framework and executive scorecard.

Module 4: Investment Planning and Portfolio Prioritization

• Investment prioritization frameworks

• Multi-Criteria Decision Analysis (MCDA)

• Infrastructure decision trees

• Evaluating investment alternatives

• Deferred investment impacts

• Service level impacts

Workshop- Evidence-Based Capital Planning

Develop a risk-based transportation capital investment program using decision trees and prioritization frameworks.

DAY 2

Module 5: Introduction to Power BI for Transportation Asset Management

Getting Started with Power BI

• Introduction to Business Intelligence

• Role of Power BI in asset management

• Power Query fundamentals

• Data modeling basics

• Building reports and dashboards

• Data preparation principles

• Basic calculations and measures

Workshop - Building Transportation Dashboards

Build a transportation performance dashboard using sample transportation asset data.

Module 6: Performance Analytics and Business Intelligence

• Performance Reporting and Visualization

• Advanced Transportation Dashboards

• Transportation Dashboard Examples

• Case Study

Module 7: Advanced Decision Analytics and Predictive Asset Management

• Decision support frameworks

• Business case development

• Infrastructure performance storytelling

• Asset deterioration modeling

• Predictive Analytics and Machine Learning

Module 8: Case studies - Decision Trees for Transportation Planning

• Bridge intervention decisions

• Pavement treatment selection

• Culvert replacement prioritization

• Capital investment decision analysis

• Emerging Technologies (e.g. Artificial Intelligence, Digital Twins, Enterprise Asset Management Systems)