AH2307 Urban Modeling and Decision Support 7.5 credits

Urban modellering och beslutsstöd

Please note

The information on this page is based on a course syllabus that is not yet valid.

  • Education cycle

    Second cycle
  • Main field of study

    Built Environment
  • Grading scale

    A, B, C, D, E, FX, F

Course offerings

Autumn 19 for programme students

Autumn 19 for Study Abroad Programme (SAP)

  • Periods

    Autumn 19 P2 (7.5 credits)

  • Application code

    10030

  • Start date

    28/10/2019

  • End date

    14/01/2020

  • Language of instruction

    English

  • Campus

    KTH Campus

  • Tutoring time

    Daytime

  • Form of study

    Normal

  • Number of places *

    Min. 1

    *) The Course date may be cancelled if number of admitted are less than minimum of places.

  • Course responsible

    Anders Karlström <anders.karlstrom@abe.kth.se>

  • Teacher

    Anders Karlström <anders.karlstrom@abe.kth.se>

    Fatemeh Naqavi <naqavi@kth.se>

    Oskar Blom Västberg <oskar.vastberg@abe.kth.se>

  • Application

    Apply for this course at antagning.se through this application link.
    Please note that you need to log in at antagning.se to finalize your application.

Autumn 18 for Study Abroad Programme (SAP)

  • Periods

    Autumn 18 P2 (7.5 credits)

  • Application code

    10050

  • Start date

    29/10/2018

  • End date

    14/01/2019

  • Language of instruction

    English

  • Campus

    KTH Campus

  • Tutoring time

    Daytime

  • Form of study

    Normal

  • Number of places *

    Min. 1

    *) The Course date may be cancelled if number of admitted are less than minimum of places.

  • Course responsible

    Anders Karlström <anders.karlstrom@abe.kth.se>

  • Teacher

    Anders Karlström <anders.karlstrom@abe.kth.se>

    Fatemeh Naqavi <naqavi@kth.se>

    Oskar Blom Västberg <oskar.vastberg@abe.kth.se>

Autumn 18 for programme students

Intended learning outcomes

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

Course main content

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.

Disposition

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

Eligibility

For admitted students to the Master of Science in Civil Engineering and Urban Management (CSAMH) or the Master of Science in Transport and Geoinformation Technology (TTGTM), there are no additional requirements.

For other students:

  • A completed bachelor’s degree in civil engineering, urban planning, geomatics, geography, engineering physics, computer science, statistics, economics, and/or mathematics, including at least 6 university credits (hp) in each of the following or their equivalents: Programming, Linear Algebra, Calculus in One Variable, and Probability & Statistics; and
  • English language proficiency equivalent to (the Swedish upper secondary school) English course B/6.

Literature

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

Examination

  • PRO1 - Project, 4.5, grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 3.0, grading scale: A, B, C, D, E, FX, F

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

Project assignment equivalent to 4,5 credits with grading scale A-F.

Requirements for final grade

Pass written exam (TEN1; 3 hp)
Approved project work (PRO1; 4,5 hp)

Offered by

ABE/Systems Analysis and Economics

Contact

Anders Karlström (amail@kth.se)

Examiner

Anders Karlström <anders.karlstrom@abe.kth.se>

Version

Course syllabus valid from: Autumn 2019.
Examination information valid from: Spring 2013.