To calculate a cyclability score for different neighbourhoods in Sydney.
Its a score that we define to assess how well a neighbourhood caters to cyclists.
To calculate cyclability per neighbourhood, a formula was used that took all data sources with relevance to cyclability into consideration. The formula is as follows:
cyclability = z(population density)+ z(dwelling density)+ z(service balance)+ z(bikepod density)+ z(BikeParking)
Where z is z-score or "standard score" of a measure, which can be calculated using z(measure, x) = x − avg measure / stddev measure
- Analysis Code
- Final Report
- Raw Data
- Getting Started
- Data Origin and Summary
- Schema Overview
- Important Variables
Short list of intructions for new collaborators to get up and running with the project.
List of commands:
$ git clone https://github.com/abdullahsafi/Sydney_Cyclability_Analysis.git
$ cd Sydney_Cyclability_Analysis
- Here you can access the Source Code and Report in Jupter Notebooks.
- The Product Notebook can be opened through Google Colab:
- Ensure you upload your copy of the repo onto your google drive
- There is a path variable for you to link the data
- The Product Notebook can be opened through Jupyter Notebooks (recommened):
- Ensure that modules and dependancies are downloaded
Origin of data
Several CSV files with Statistical Area 2 (SA2) data from the Australian Bureau of Statistics (ABS), as well as some car-sharing data from Sydney.
populationdensitypopulation divided by neighbourhood’s land areaNeighbourhoods.csvdwellingdensitynumber of dwellings divided by neighbourhood land areaNeighbourhoods.csvservicebalancebalanceof selected business types in neighbourhoodBusinessStats.csvtransportdensitynumber of car-sharing pods per suburb divided by areaCarSharingPods.csv
Description of variables that are important throughout the Notebooks.
Key Variables | Description |
---|---|
populationdensity | population divided by neighbourhood’s land area |
dwellingdensity | number of dwellings divided by neighbourhood land area |
servicebalance | balance of selected business types in neighbourhood |
transportdensity | number of car-sharing pods per suburb divided by area |