This repository contains the code for my International Baccalaureate Geography Extended Essay (May 2022 examinations).

The original paper submitted to the IBO are available to download here, licensed under CC BY-NC-SA 4.0.

To view main project file, resolve the missing datasets in the remarks and open the main QGIS project file here.

Since the industrialisation of Hong Kong, the territory has observed a shortage in parking supply, resulting from the steady increase in car ownership and the declining growth rate in the number of parking spaces. This investigation focuses on providing a more solid understanding of the relationship between the spatial distribution of parking spaces and the local traffic in urban areas of Hong Kong, through on-site surveys and the Ga2SFCA method, so to build a more resilient and sustainable transport system.

The high-level overview of the methodology is as follows (see Section 5 of the paper for more details):

The OD matrix is first generated using the QNEAT3 plugin for QGIS. This is stored in an sqlite database (graph/main/db/data.db), which is then accessed by the Ga2SFCA algorithm using SQLAlchemy (graph/main/db/common.py). The rest of the data processing and analysis is performed using QGIS, Python and Excel.

this is what happened when i realised that my 75% done EE is corrupted:

The following files are excluded from the repo:

• gis/iB1000.gdb - download here
• gis/iC1000.gdb - download here
• gis/iB5000.gdb - download here
• gis/dTAD_IRNP.gdb - download here
• gis/all/mtr.tif - missing, extract it from iB1000 map, perform KDE in QGIS.
• gis/all/kmb.tif - convert the JSON file, perform KDE in QGIS.
• gis/all/dtm.tif - too large, convert the ASC file to TIF.
• main.docx - too large (210.153MB)

The following files are compressed:

• gis/all/buildings_all.zip - extract it.