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AH2307 Urban Modeling and Decision Support

Course Description

The course AH2307 Urban Modeling and Decision Support is a 7.5-credit course that focuses on 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.

Information per Course Offering

• Termin: Autumn 2025
• Start: 27 Oct 2025
• Duration: 27 Oct 2025 - 12 Jan 2026
• Periods: Autumn 2025: P2 (7.5 hp)
• Pace of study: 50%
• Application code: 50103
• Form of study: Normal Daytime
• Language of instruction: English
• Course memo: Not published
• Number of places: Minimum 10
• Target group: Recommended for TTGTM, year 1, and searchable for other master programs with reference to the eligibility requirements in the course plan.

Planned Modular Schedule

• P2: H1, A2, F2

Part of Programme

• Master's Programme, Transport, Mobility and Innovation, year 1, SUMT, Mandatory
• Master's Programme, Transport and Geoinformation Technology, year 1
• Master's Programme, Vehicle Engineering, year 2
• Master's Programme, Vehicle Engineering, year 1

Contact

• Examiner: Anders Karlström
• Course coordinator: Qian Wang
• Teachers: Joel Franklin, Anders Karlström

Content and Learning Outcomes

Course Disposition

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

Course Contents

The main contents include 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.

Intended Learning Outcomes

After the course, students 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

Literature and Preparations

Specific Prerequisites

• 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.
• English B/6 according to the Swedish upper secondary school system.

Literature

Information about course literature can be found in the course memo for the course offering or in the course room in Canvas.

Examination and Completion

Grading Scale

• A, B, C, D, E, FX, F
• P, F for project assignment

Examination

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

Examiner

Anders Karlström

Ethical Approach

• 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.

Further Information

Course Room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas.

Offered by

ABE/Transport and Systems Analysis

Main Field of Study

The Built Environment

Education Cycle

Second cycle