CPT896: Transport Analysis

School Cardiff School of Geography and Planning
Department Code GEOPL
Module Code CPT896
External Subject Code K460
Number of Credits 20
Level L7
Language of Delivery English
Module Leader Dr Dimitris Potoglou
Semester Autumn Semester
Academic Year 2017/8

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.  

Examination

30% contribution

Final examination

1 hour

Autumn

Report

50% contribution

Exploiting a large-scale travel survey dataset: hypothesis, analysis and presentation

2,000 words

Autumn

Group presentation

20% contribution

Design and planning of a stated preference discrete choice experiment within a quantitative survey

20 minutes

Autumn

How the module will be delivered

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

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 and explain the differences between Revealed and Stated Preference data
  4. Critically 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

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 ;
  4. Enhanced skills in computer, IT and data management skills;
  5. Problem-solving skills and experience of building practical solutions.

Assessment Breakdown

Type % Title Duration(hrs) Period Week
Written Assessment 50 Report N/A 1 N/A
Examination - Autumn Semester 30 Transport Analysis Exam 1 1 N/A
Presentation 20 Group Presentation N/A 1 N/A

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. (2011) Modelling Transport, John Wiley & Sons, Ltd, Chichester. 4rd Edition.
  • Chapman McGrew, J, Jr.and Monroe, C.B. (1999) An Introduction to Statistical Problem Solving in Geography, London, McGraw Hill, 2nd Edition.

Background Reading and Resource List

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

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