2017/18 Taught Postgraduate Module Catalogue
TRAN5032M Transport Data Collection and Analysis
15 creditsClass Size: 100
Module manager: Dr Eva Heinen
Email: E.Heinen@leeds.ac.uk
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2017/18
Module replaces
TRAN5031MThis module is not approved as an Elective
Module summary
This module provides fundamentals of data collection and analysis in the context of transport. It addresses the loop covering research questions, data requirements, data generation, data analysis, and interpretation of evidence. It covers data collection techniques, statistical methods, as well as relevant software packages, relevant to each students programme of study.Objectives
To ensure that students understand the needs of data generation, approaches to collecting a range of transport data, and are able to justify techniques appropriate for given research requirements.To ensure that students understand the principles underlying the statistical analysis of transport data and are equipped to select appropriate statistical tests and associated interpretation of results.
To develop students knowledge of transport data relevant to their programme of study (e.g. engineering, planning, and environment).
To develop students ability to employ relevant software packages for data analysis and presentation.
Learning outcomes
Understand the link between research needs and data generation
Be familiar with data collection techniques relevant to transport issues
Develop data acquisition skills
Develop data handling, statistical and analytical skills
Develop data presentation and reporting skills
Syllabus
Data collection methods (for all students):
- Characteristics of transport data, data sources and data management
- Trip matrix data
- Road accident data
- Observational data via driving simulators and field trials
- Automatic traffic counting and air quality data
- Technology aided data collection
Statistics (for all students)::
- Definition of variables and summary measures
- Measures of dispersion
- Normal distribution
- Distribution of sample mean
- Hypothesis testing
- Contingency tables
- Regression analysis
- Poisson distribution
For the Engineering stream:
- Road and furniture inventory
- Road condition
- Speed, delay and congestion
For the Planning Stream:
- Questionnaire design
- Crowd sourcing data collection and analysis
- Concept and process of big data
For the Environment and Sustainability Stream:
- Air quality framework, strategy, standards and data sources
- Meteorological process, monitoring technologies and data sources
Teaching methods
Delivery type | Number | Length hours | Student hours |
Fieldwork | 1 | 6.00 | 6.00 |
Lecture | 6 | 3.00 | 18.00 |
Seminar | 4 | 2.00 | 8.00 |
Tutorial | 10 | 1.00 | 10.00 |
Private study hours | 108.00 | ||
Total Contact hours | 42.00 | ||
Total hours (100hr per 10 credits) | 150.00 |
Private study
Sufficient effort is expected for further reading after each lecture, as well as for seeking relevant literature and collating evidence across a range of sources for completing the coursework. Support to private study will be offered by face-to-face discussions, as well as by VLE forums.Opportunities for Formative Feedback
Students learning progress will be monitored by the coursework process. Students will be fully supported during the process of completing their coursework via a variety of channels including physical discussions as well as virtual environment (e.g. VLE forums, emails etc). Feedback on coursework performance will be provided assisting the students to understand weakness in the submitted work and suggesting ways that work can be improved.Methods of assessment
Coursework
Assessment type | Notes | % of formal assessment |
Report | 2,000 words | 50.00 |
Total percentage (Assessment Coursework) | 50.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Exams
Exam type | Exam duration | % of formal assessment |
Unseen exam | 2 hr | 50.00 |
Total percentage (Assessment Exams) | 50.00 |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading list
The reading list is available from the Library websiteLast updated: 01/08/2018
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD