Computational Urban Analysis – Socio-economic configurations of Amman
Locating and dimensioning spatial objects and with it the creation of spaces is at the heart of urban design. Thereby it is necessary to precast the effects that design decisions have on the behaviour of the future users as well as to estimate the sustainability and resilience of the city. Computational analysis methods can help to support this process due to the fact that they can reveal properties that are hardly recognizable at first intuitive sight. In the seminar you will learn methods for the quantitative analysis of urban space (such as density, accessibility, visibility) and examine in how far these quantities relate to real life phenomena such as the spatial configuration of economical activities in a city or the movement patterns of urban users. Finally we will apply these methods in the 12 days excursion workshop in the city of Amman, Jordan.
The seminar is part of an ongoing DAAD-funded project on discovering urban social and spatial patterns of Islamic cities and fostering exchange between German and Jordan academics in the field of urban planning.
The seminar is open for both Bachelor and Master students. The seminar is a prerequisite for the workshop in Amman. It is also required to enroll in the seminar “Arab Urban Realities” by Prof. Dr. Frank Eckardt.
- Lectures 33
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 128
- Assessments Yes
In this module you will learn the basics for calculating urban density.
- Urban Density I – Concept & Examples
- Excursus – Kowloon Walled City
- Urban Density II – Calculating Urban Density
- Urban Density III – Challenging the Concept of Density
- Task – Analyse the Density of your neighbourhood in Weimar
- Submission – Density Analysis
- Results – Density Analysis
- Further Readings on Urban Density
In this module you will learn the basics for calculating what one can see of an urban environment.
- Visibility I – Vision & Environment
- Submission – Vision & Environment Example
- Results – Vision & Environment
- Visibility II.1 – Isovist
- Visibility II.2 – Object Visibility
- Visibility II.3 – Isovist Properties
- Visibility II.4 – Isovist Path
- Visibility II.5 – Isovist Field
- Task – Analyse visual properties of your street
- Submission – Visibility Analysis
- Excursus – Capturing the 3rd dimension
- Further Readings on Visibility
In this module you will learn the basics for calculating how spaces relate to each other.
- Spatial Relations I – Graph based representations of the environment
- Spatial Relations II – Convex Maps
- Spatial Relations III – Axial Maps & Segment Maps
- Excursus: Urban Network Analysis Toolbox
- Tutorial – Street Network Analysis
- Tutorial – Selecting single street segments
- Tutorial – Preparing Street Network Geometry
- Task – Street Network Analysis
- Submission – Street Network Analysis
Learning from Data