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CEG8423 : Transport Research Methods

  • Offered for Year: 2022/23
  • Module Leader(s):
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 10
ECTS Credits: 5.0


The aims of this module are:
1.       To provide an understanding of the statistical background needed to analyse transport data and models output
2.       To provide an understanding of the key modelling tools used to study transport problems
3.       To enable students to develop a working knowledge of relevant software.
4.       To enable students to use these statistical tools and models to approach the transport problems studied in the transport modules in various Master programs.

Outline Of Syllabus

Part A: introduction and basics of statistics; sampling and distributions; testing for differences
between groups; correlation; data reduction techniques; elementary probability theory.
Part B: Basic concept of optimisation (unconstrained and constrained), Regressions linear/nolinear, with continues and categorical dependent variables, including specification, estimation,
evaluation (R2 and use of t-test, fisher test), interpolation and extrapolation.
Part C: Basics of programming (using SPSS, Excel and R packages)

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion12:002:00Online exam.
Scheduled Learning And Teaching ActivitiesLecture53:0015:00N/A
Guided Independent StudyAssessment preparation and completion200:3010:00Revision for exam.
Guided Independent StudyAssessment preparation and completion92:0018:00Group report
Scheduled Learning And Teaching ActivitiesPractical53:0015:00Computer-based exercises.
Guided Independent StudyIndependent study140:0040:00Includes background reading and reading lecture notes for a full understanding of material.
Teaching Rationale And Relationship

Formal lectures are used to disseminate knowledge regarding statistical and other numerical techniques, and the
technical knowledge required for preparing for and undertaking transport projects at postgraduate level. Students are
encouraged to undertake practical-based computer exercises to reinforce numerical skills.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination1201A65Unseen written examination
Other Assessment
Description Semester When Set Percentage Comment
Report1M35Report prepared in groups of 2/3 where data is analysed using techniques seen in lectures and basic regressions are estimated.
Assessment Rationale And Relationship

This module is assessed by written examination and coursework. This format allows a student’s knowledge and
understanding of numerical and research methods to be quantified. Analytical Methods for Transport Research is a
core module providing the students with the fundamentals of statistical analysis procedures essential in ensuring
academic rigour is preserved in the design and execution of surveys; quality in the data collection procedures and in
the statistical analysis of the data collected in the MSc dissertations.

Reading Lists