CPT896: Transport Analysis
School | Cardiff School of Geography and Planning |
Department Code | GEOPL |
Module Code | CPT896 |
External Subject Code | 100198 |
Number of Credits | 20 |
Level | L7 |
Language of Delivery | English |
Module Leader | Dr Dimitris Potoglou |
Semester | Autumn Semester |
Academic Year | 2023/4 |
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
- 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 organise survey 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
How the module will be delivered
The module will be delivered through lectures and seminars, in-person and on campus unless mitigating circumstances arise. Seminars will enable small group discussion about key issues relevant to the module. Students are expected to engage with additional module content on Learning Central e.g. readings or other material, to prepare for lectures and seminars, and to supplement and deepen taught components.
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
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
Formative Assessment
Formative assessment takes place throughout the module. There are learning checks in every lecture and the workshops which support the assessments provide an opportunity for peer to peer and tutor feedback.
THE OPPORTUNITY FOR REASSESSMENT IN THIS MODULE:
Re-assessment
Students are permitted to be reassessed in a module which they have failed, in line with University regulations. You will only be reassessed on the components of the module in which you have failed. The format of the reassessment will be the same as the original assessment and will take place in the Summer re-sit period.
Data collection and Ethical Approval
For some assessments, students may be required to collect their own data. In such assessments ethical approval from the School Research Ethics Committee must be obtained before data collection can begin. The module leader will discuss the process for obtaining ethical approval if it is needed in this module. Ethical approval is not needed for students using existing, open data sets (e.g. anonymised secondary data). This does not include social media data (e.g., Twitter or Facebook posts), where ethical approval must be obtained. The ethical approval process will take time and you are strongly recommended to adhere to the timetable outlined by the module leader to ensure you are not delayed in your assessment.
Assessment Breakdown
Type | % | Title | Duration(hrs) |
---|---|---|---|
Written Assessment | 25 | Individual Report | N/A |
Written Assessment | 50 | Individual Report | N/A |
Presentation | 25 | Group Presentation | 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
• Travel data analysis; Practical Three: Using regression methods to model questionnaire data