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This course will supplement the material covered in the Transport Planning Methods course with a series of in-lab hands-on specialised software training.
Specific course aims are to:
Introduce cost-benefits analysis, specialised transport planning (CUBE) and statistics program (R);
Provide examples of real-world transport planning problems and state-of-art practitioner approaches to addressing often-encountered transport analysis problems.
By the end of this course students will be able to:
1. Process diverse types of data related to transport planning;
2. Conduct a statistical analysis using real data on a transport-related topic and write a concise description of the main findings to communicate to a non-technical audience;
3. Develop transport planning and impact analysis scenarios, present major assumptions and write a concise description of the main findings;
4. Conduct a cost-benefit analysis and present understanding concepts relating to life-cycle analysis, estimation of salvage values, discounting and other related concepts.
