|School||Cardiff School of Geography and Planning|
|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:
Describe the different approaches to travel behaviour research and ability to critique them
Design and plan a quantitative survey while being able to identify potential areas of risk to quality
Distinguish and explain the differences between Revealed and Stated Preference data
Critically explain the strengths and weaknesses of revealed and stated preference data;
Process and organisesurvey data (using statistical software)
Formulate hypotheses in travel-behaviour survey data
Test hypotheses using statistical software and interpret the findings
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.
Summarise and present evidence from the transport literature
Summarise and present travel survey data that are commonly used for transport studies;
Perform statistical analyses of travel behaviour using IBM SPSS Statistics ;
Enhanced skills in computer, IT and data management skills;
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.
Exam - 30% 1 Hour
Report - 50% 2000 words
Group Presentation - 20% 20 minutes
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
|Examination - Autumn Semester||30||
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.