Code for the paper "Characterizing residential segregation in cities using intensity, separation, and scale indicators"

doi:10.4121/21286653.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21286653
Datacite citation style:
Spierenburg, Lucas (2022): Code for the paper "Characterizing residential segregation in cities using intensity, separation, and scale indicators". Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21286653.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software

This code is used for computing the results of the paper "Characterizing residential segregation in cities using intensity, separation, and scale indicators". 


This code identifies and characterizes residential segregation patterns from demographic data. It is applied in a Dutch case study. It is written in python, using notebooks.


This source code should be stored in a folder named code. The folder code and the folder data (see https://doi.org/10.4121/19597258) should be located in the same directory.

FORMAT

*.mkd;

*.ipynb;

*.txt;

*.csv

RECOMMENDED HARDWARE

1. Processor: Intel® Core™ i5-10210U CPU

2. RAM: 32GiB of RAM (DDR4)

3. GPU: Intel® UHD Graphics GPU

RECOMMENDED OPERATING SYSTEM

Ubuntu 21.10, 64-bit

REQUIRED VERSION OF PYTHON

3.9.7

REQUIRED LIBRARIES USED

see requirements.txt

EXTRA FILE

parameter.csv specifies some parameters used in the analysis.

SEQUENCE OF SCRIPTS

The scripts should be run in the following order:


1. demographics_preprocess.ipynb

2. extract_city_boundary.ipynb

3. extract_street_network.ipynb

4. extract_zones_in_gemeente.ipynb

5. shortest_path.ipynb

6. adjacency_matrix.ipynb

7. correlation_matrix.ipynb

8. exposure.ipynb

9. cluster_analysis.ipynb

10. descriptive_stats.ipynb

11. combine_zones_into_municipalities.ipynb

history
  • 2022-10-19 first online, published, posted
publisher
4TU.ResearchData
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning

DATA

files (1)