course-details-portlet

AAR8843 - GIS Methods for Integrated Transport and Land use Planning

About

New from the academic year 2022/2023

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
Assignment 50/100
School exam 50/100 4 hours D

Course content

Advanced knowledge of GIS-based methods and tools used for supporting integrated land use and transport planning analysis. Focused on network modelling and other methodology to describe accessibility for different modes of transport. Special emphasis is placed on analyzes and models that support planning for non-motorized modes of transport and public transport.

Learning outcome

Knowledge: The functionality of network models and network graphs in geographic information systems (GIS), used for supporting integrated urban land use and transport planning. Network data sources and reference systems, cartography and cartographic methods, relevant to the needs and scope of accessibility planning. Data structures, data models and analysis techniques. Also knowledge of raster models used for transport purposes ("path distance" tools). Skills: Facilitation of network data for various transport modes in a GIS, including transit networks with schedule data. Preparation for and implementation of network creation and analysis. Implementation of raster analysis. General competence: to make use of acquired knowledge and skills solving a variety of tasks related to accessibility analysis and linking transport and land use planning.

Learning methods and activities

Lectures. Instructor-led exercises. Individual exercises. Individual assignment.

Further on evaluation

The assignment is graded A-F, and counts 50% towards the final grade in the course. Both assignment and written exam must be passed. You can register for a re-scheduled examination in the next exam period. For a re-take of a passed exam, it is possible to re-take one of the parts.

Required previous knowledge

Basic knowledge about geographic information systems (GIS), and skills in using GIS software. The candidate must have passed the examination in either AAR4841, AAR4847, TBA4240, GEOG1012 or similar courses.

Course materials

Compendium and/or textbook will be announced before the beginning of the course. An additional syllabus consisting of articles and/or reports will be determined in consultation with the candidate.

It is advised, but not required, to use private PC for the exercises. The exercises will be relatively heavy tasks in GIS software (ArcGIS, ArcGIS Pro, QGIS), thus the following requirements specification is recommended:

Processor: Intel minimum i5, preferably i7 or xeon. AMD Ryzen 5, 7 or 9.

64 bit operating system (Windows 10)

At least 8 GB RAM, preferably 16 GB

Storage capacity HD or SSD (preferred) min. 500 GB

Dedicated video card of at least 4 GB, Nvidia or AMD

Students who do not have a PC that follows this specification will be allowed to use local data labs.

Credit reductions

Course code Reduction From To
AAR4843 7.5 AUTUMN 2022
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Road, Transport and Geomatics
  • Town and Regional Planning
  • Architecture
Contact information
Course coordinator:

Department with academic responsibility
Department of Architecture and Planning

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 50/100 D 2023-06-07 15:00 INSPERA
Room Building Number of candidates
Spring ORD Assignment 50/100 INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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