|School||Cardiff School of Planning and Geography|
|External Subject Code||K460|
|Number of Credits||20|
|Language of Delivery||English|
|Module Leader||Dr Dimitris Potoglou|
This module introduces students to a set of analytical approaches which are frequently used in transport planning practice. This includes analysis of travel behaviour which aims to provide an introduction to research designs and strategies for understanding travel behaviour, acquisition and analysis of relevant data through practical exercises and transport surveys for collecting primary data. Particular emphasis is given on transport surveys for collecting revealed and stated preferences, which have been prominent in travel behaviour research. Designing such surveys and analysing the data they generate form an important part of this module.
By the end of the module students should be able to:
1. Describe the different approaches to travel behaviour research and ability to critique them
2. Design and plan a quantitative survey while being able to identify potential areas of risk to quality
3. Distinguish and explain the differences between Revealed and Stated Preference data
4. Critically Eexplain the strengths and weaknesses of revealed and stated preference data;
5. Process and organise survey data (using statistical software)
6. Formulate hypotheses in travel-behaviour survey data
7. Test hypotheses using statistical software and interpret the findings
8. Choose appropriate statistical and graphical methods to model survey data and interpret the results
The module will be delivered by lectures and computer lab practical sessions.
1. Summarise and present evidence from the transport literature
2. Summarise and present travel survey data that are commonly used for transport studies;
3. Perform statistical analyses of travel behaviour using IBM SPSS Statistics 20;
4. Enhanced skills in computer, IT and data management skills;
5. Problem-solving skills and experience of building practical solutions.
Central to the course will be a major project which will require application of transport planning software for the study of urban transport issues.
Essay - 30%
Report - 50%
Group Presentation - 20%
Students are permitted to be reassessed in a module which they have failed, in line with the course regulations. The reassessment will usually take place during the summer
• Approaches to travel behaviour
• Travel data acquisition
• Transport surveys/questionnaires (revealed and stated preferences)
• Travel data analysis; Practical One: Introduction to SPSS
• Travel data analysis; Practical Two: Hypothesis Testing using IBM SPSS Statistics 20
• Travel data analysis; Practical Three: Using regression methods to model questionnaire data IBM SPSS Statistics 20
Hensher, D.A., Rose, J.M. and Greene, W.H. (2005) Applied Choice Analysis - A Primer, Cambridge University Press, New York.
Ortuzar, J.D. & Willumsen, L.G. (2001) Modelling Transport, John Wiley & Sons, Ltd, Chichester. 3rd Edition.
Chapman McGrew, J, Jr.and Monroe, C.B. (1999) An Introduction to Statistical Problem Solving in Geography, London, McGraw Hill, 2nd Edition.