Melbourne built environment and transit use empirical dataset
datasetposted on 10.02.2020 by Laura Aston, Graham Currie, Alexa Delbosc, Nicholas Fournier, MD Kamruzzaman, David Teller
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This database contains indicators of the station-are built environment and sociodemographic characteristics at Melbourne's train, tram and bus stops.
The associated data protocol describes the inputs to the database. The data is fused from over twenty sources. These sources, assumptions and aggregation procedures are set out to ensure traceability of the indicators.
The database is practice-ready, constituting a valuable input to understanding built environment impacts on transit ridership.
Additional raw inputs and analysis files corresponding to this dataset can be access at https://github.com/Laura-k-a/BE-TU_Melb_Clusters. Inputs to data operationalisation include:
- R Scripts
- CSV files, containing aggregate indicator data
- Facility-level data, including formulae
- Polygon-level data, including formulae