AH2307 Urban Modeling and Decision Support 7.5 credits

Lectures 20 hours
Exercises 6 hours
Computer labs 6 hours
Project 6 hours

The main contents are discrete choice theory, the multinomial and nested logit model, network equilibrium and assignment theory for car and public transport, and the development and application of a simple forecast and analysis system.

The contents are presented in lectures and developed into practical skills through computer aided exercises. The project task is undertaken as a laboratory exercise where the student will build a forecasting system using the methods taught in the lectures. The student applies the system to a range of policy issues and writes an individual report of the work.

After the course you should be able to:

• Describe and critique the application of rational models in decision-making processes
• Apply urban theories to building a simple forecasting system
• Analyze policy changes in the urban system and produce decision support for decision-makers
• Write a report of a simple transport planning study

These overall learning objectives are further qualified as follows. After completed course you should be able to:

-       Describe and apply central methodologies: discrete choice theory, the multinomial and nested logit model, network equilibrium and assignment theory for car and public transport (KF2)

-       critically, independently and creatively identify, formulate and appraoch relevant and complex societal issues, which include economical, ecological and social sustainability

-       use an integrated transport and land use forecasting system to model, simulate, forecast and evaluate societal policies (which includes changes to the transport system or land use system) to address relevant societal issues, including sustainability

-       clearly account for and discuss conclusions from an evaluation of a policy proposal including changes to the transport and/or land use system

-       plan and implement an assessment (evaluation) of public policies to address societal issues using adequate scientific methods

-       ability to identify the need for further knowledge

-       critique scientific and methodological approaches used in the project

Bachelor's degree or equivalent in civil engineering, geography, technical physics, computer science, statistics, economics, or mathematics. At least 3 credits in each programming, linear algebra, univariate analysis, probability theory and statistics andEng B/6 according to the Swedish upper secondary school system.

Ortuzar & Willumsen (2001). Modelling Transport. John Wiley & Sons.

If the course is discontinued, students may request to be examined during the following two academic years.

• PROA - Project, 4.5 credits, grading scale: P, F
• TEN1 - Examination, 3.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Written exam equivalent to 3 credits with grading scale A-F.

Project assignment equivalent to 4,5 credits with grading scale P/F.

Anders Karlström

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.