Project

Screening Models for Urban Development

Publisher

Supervisor

Location

Greater Copenhagen area

This project aims at creating a fast setup for simulating city development in the context of urban water management. A main objective of the work will be to identify ways to consider not only new developments in suburbs, but also re-development in the city core in in simplified model, and to test the importance of such representations with regards to hydrological parameters.

Background
We are currently running urban development simulations in a vector-based framework. In this setup, city development both in the suburbs and the city core can be represented by identifying areas that are not built-up or where buildings may be demolished, and then implementing new buildings in these areas. The downside of this framework is that it is slow and not suitable for, for example, sensitivity analysis.

In a raster-based framework, simulations can be performed much faster, because we don't need to perform computations on the actual geometries of buildings. However, in this setup, it is not immediately obvious how we can represent the amount of undeveloped space within a raster cell, and how the amount of undeveloped space changes when new buildings (of different types) are developed.

Data and approach
You starting point will be a larger number of vector-based urban development simulation results for a city in Denmark. You can use these data to assess how available space changes when new urban developments are implemented, and subsequently you can link this information to the parameters that were used for the urban development simulation. This should allow us to create a raster-based representation of the urban development process, which can be compared against the original data.

Requirements and work setup
This project considers rather large amounts of GIS data which you will access using Python and the GDAL libraries. Numpy is a likely candidate for implementing a raster-based representation of urban development in Python.
This implies that you must be keen on working with data and in a scripting environment. You can expect an introduction into handling GIS data and modelling urban development. There will be continuous sparring and this project is a good opportunity to become proficient in handling large amounts of data in a programmatic way. However, you must have a general curiosity for data and models and, to some degree, previous programming experience.


Requirements

Interest in working with data and scripting, general curiosity for models

Search in postings
Contact

Company / Organization

DTU Miljø

Name

Roland Löwe

Position

Lektor

Mail

rolo@env.dtu.dk

Supervisor info

MSc in Civil Engineering

Supervisor

Roland Löwe

Co-supervisors

Karsten Arnbjerg-Nielsen

ECTS credits

30 - 35

Type

MSc thesis

Msc in Earth and Space Physics and Engineering

Supervisor

Roland Löwe

Co-supervisors

Karsten Arnbjerg-Nielsen

ECTS credits

30 - 35

Type

MSc thesis

MSc in Environmental Engineering

Supervisor

Roland Löwe

Co-supervisors

Karsten Arnbjerg-Nielsen

ECTS credits

30 - 35

Type

MSc thesis

MSc in Mathematical Modelling and Computation

Supervisor

Roland Löwe

Co-supervisors

Karsten Arnbjerg-Nielsen

ECTS credits

30 - 35

Type

MSc thesis

Technical University of Denmark

For almost two centuries DTU, Technical University of Denmark, has been dedicated to fulfilling the vision of H.C. Ørsted – the father of electromagnetism – who founded the university in 1829 to develop and create value using the natural sciences and the technical sciences to benefit society.


Today, DTU is ranked as one of the foremost technical universities in Europe, continues to set new records in the number of publications, and persistently increases and develops our partnerships with industry, and assignments accomplished by DTU’s public sector consultancy.

Find us here

Anker Engelunds Vej 1
Bygning 101A
2800 Kgs. Lyngby

Denmark



Tlf. (+45) 45 25 25 25

CVR-nr. 30 06 09 46

All vacant positions
 

loading..