Performance measurement and data collection
Brisbane, 29-30 March 2011
Develop your knowledge and understanding of measuring transport outcomes, performance measurement and data collection from experts and experienced practitioners.
There is increasing pressure by governments and the community for more effective and efficient use of resources and performance and accountability for outcomes. To do this effectively requires an understanding of how to measure and report the performance of transport programs and projects.
About the course
This blended learning course will provide you with an overview of measuring transport outcomes. The course is presented using a blended learning approach, combining pre-work with an intensive two-day face-to-face short course. This course aims to help you understand the terminology, principles, applications, issues, best practices and emerging trends, plus provides practical worked examples, case studies and exercises.
Key Benefits
By the completion of this course you can expect to:
- Develop a knowledge base in measuring transport outcomes, performance measurement and data collection
- Understand concepts, techniques and principles that underlie measuring performance
- Become aware of some of the practical issues and approaches through real-world examples
- Think critically about underlying concepts, assumptions and arguments
- Gain an awareness of some of the management and public policy issues
- Understand current and future trends and developments
- Know where to turn for more information.
Who should attend
This course is for professionals involved in planning, designing and evaluating transport programs, including government agency staff, consultants and contractors. It is particularly suited to recent graduates, those new to transport or wanting a refresher and those wanting a broader understanding of transport outcome management.
Course details
There are no pre-requisites for attending this course. All participants are expected to have completed the provided pre-work prior to attending the short course. The pre-course materials will be provided on payment of registration. Practical worked examples and case studies will form part of the course.
The approach to teaching and learning aims to provide a balance of approaches, taking into account different learning styles. The short course has been designed as a combination of provided written and visual reference material, lectures on theory and practice, interactive class discussion sessions, worked examples and case studies to illustrate application of concepts and group exercises to reflect on and apply what has been learned. Bringing together a diverse group of participants enables interaction from a variety of perspectives and experience.
Course Outline
An overview of measuring performance and data collection for transport planning, management and operations.
1: Context of Measuring Transport Outcomes: conceptual strategic decision making framework: Logical Framework Analysis, elements of performance-based planning process, performance management, program and project evaluation. [Prof Charles]
2: Transport Performance Measurement: agency business needs and community expectations, objectives for performance measurement: planning and operations, transport system performance, strategic performance indicators: a case-study. [Prof Charles]
3: Basic Statistics for Transport Analysis: basic statistical concepts, probability distributions, sample size requirements, statistical tests, transport applications: examples. [Dr Johnson]
4: Transport Data Collection and Analysis: why do we need good data?, transport planning data needs, strategic and tactical modelling needs, origin-destination and travel time surveys, data sources and measurement, group exercise: data collection needs. [Prof Ferreira]
5: Travel Behaviour Surveys: travel survey methods & instruments, home travel surveys, mode choice and tolling choice applications, stated preference survey design, route choice surveys, group exercise: survey design. [Prof Ferreira]
6: Public Transport Outcomes: public transport service performance; quality of service framework; customer service performance; operating performance – comfort, availability, reliability; financial performance; data sources, issues, surveys, analysis and reporting; role of technology in performance monitoring. [Prof Charles]
7: Traffic Management Outcomes: traffic management performance, planning, project evaluation, performance monitoring, type and means of traffic data collected, types of systems & analysis processes, role of technology in performance monitoring, case-study: incident & traffic data fusion. [Prof Charles]
8: Transport Safety Outcomes: road safety performance measures type of safety data collected – crash data, attitudinal surveys, types of systems and analysis processes. [Prof Charles]
9: Freight and Logistics Outcomes: rail and intermodal freight performance, road freight performance, freight data requirements and sources.
10: Environmental Outcomes: sustainability performance measures, global versus local air pollution, measuring and modelling emissions, data collection, analysis and interpretation. [Prof Morawska]
Faculty
Professor Phil Charles from the University of Queensland, has been responsible for developing and implementing transport strategy and policy initiatives across Australia in government, as a consultant, researcher and educator.
Professor Luis Ferreira also from the University of Queensland, has a strong multi-modal teaching, research and management background encompassing road and rail, freight and passenger transport.
Dr Sandra Johnson, Discipline of Mathematical Sciences, Queensland University of Technology.
Professor Lidia Morawska is Director of the International Laboratory for Air Quality and Health at Queensland University of Technology.
Associte Professor Adam Pekol from the Univetsity of Queensland and Director of Adam Pekol Consulting has extensive experience in traffic engineering and transport planning.
Previous related courses:
Traffic and Transport Surveys: a practical guide, May 2007
Data Collection for Transport Analysis, April 2006
Measuring Multi-Modal Transport System Performance, June 2004
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