CIV5303 - Applied transport data analysis - 2019

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.



Organisational Unit

Department of Civil Engineering

Chief examiner(s)

Professor Jeff Walker


Dr Nam Hoang

Unit guides




Data are fundamental to transport decision making. This unit applies rigorous probabilistic and statistical techniques to the analysis of data commonly encountered in transport studies. Students develop an understanding of probabilistic and statistical analysis procedures and their application to analysis of univariate and multivariate data, the model development process and its application to range of modelling techniques employed in the analysis of transport data.


On successful completion of this unit, students will be able to:

  • Justify the relevance of quantitative data analysis skills for contemporary transport and traffic practice,
  • Estimate and appraise suitable probabilistic models for transport and traffic problems,
  • Infer the characteristics of a population based on a sample of that population drawing on appropriate statistical techniques, and
  • Estimate and evaluate the robustness of statistical models for understanding current, or predicting/forecasting future, travel/traffic conditions.


Continuous assessment: 50%

Examination (2 hours): 50%

Students are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final examination component and an overall mark of 50% to achieve a pass grade in the unit. Students failing to achieve this requirement will be given a maximum of 45% in the unit.

Workload requirements

150 hours study

See also Unit timetable information

This unit applies to the following area(s) of study

Civil Engineering