CPT896 - Transport Analysis

SchoolCardiff School of Planning and Geography
Department CodeCPLAN0
Module CodeCPT896
External Subject CodeK460
Number of Credits20
LevelL7
Language of DeliveryEnglish
Module Leader Dr Dimitris Potoglou
SemesterAutumn Semester
Academic Year2014/5

Outline Description of Module

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.

On completion of the module a student should be able to

 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 between Revealed and Stated Preference data
4. Explain 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

How the module will be delivered

 The module will be delivered by lectures and computer lab practical sessions.

Skills that will be practised and developed

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.
 

How the module will be assessed

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 - 40%
Report - 50% 
Group Presentation - 10%

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

Assessment Breakdown

Type % Qualifying Mark Title Duration(hrs) Period Week
Written Assessment 30 N/A
Essay
N/A 1 N/A
Written Assessment 50 N/A
Report
N/A 1 N/A
Presentation 20 N/A
Group Presentation
N/A 1 N/A

Syllabus content

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

Essential Reading and Resource List

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.

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