Process diverse types of data related to transport

Process diverse types of data related to transport planning

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Course Aims

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.

Intended Learning Outcomes of Course

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.

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