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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/5d9994f4704ea&rft.title=Melbourne built environment and transit use station-level data&rft.identifier=http://doi.org/10.26180/5d9994f4704ea&rft.publisher=Monash University&rft.description=This file repository contains a database, data protocol and aggregated data files. The static database contains 32 bespoke indicators designed to quantify the built environment at Melbourne's transit stops and stations.The enclosed protocol described 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.In addition to the database and protocol, this repository also includes:- R Scripts- CSV files, containing aggregate indicator data- Facility-level data, including formulae- Polygon-level data, including formulae- Patronage source dataRaw Census data and shapefiles are not included in this repository. &rft.creator=Alexa Delbosc&rft.creator=Alexa Delbosc&rft.creator=David Teller&rft.creator=David Teller&rft.creator=Graham Currie&rft.creator=Graham Currie&rft.creator=Laura Aston&rft.creator=Laura Aston&rft.creator=MD Kamruzzaman&rft.creator=MD Kamruzzaman&rft.creator=Nicholas Fournier&rft.creator=Nicholas Fournier&rft.date=2020&rft_rights=MIT&rft_subject=land use&rft_subject=transport&rft_subject=urban planning&rft_subject=design&rft_subject=built environment&rft_subject=public transport&rft_subject=melbourne&rft_subject=RStudio&rft_subject=ArcMap&rft_subject=GTFS&rft_subject=Indicators&rft.type=dataset&rft.language=English Access the data

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This file repository contains a database, data protocol and aggregated data files. The static database contains 32 bespoke indicators designed to quantify the built environment at Melbourne's transit stops and stations.

The enclosed protocol described 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.

In addition to the database and protocol, this repository also includes:
- R Scripts
- CSV files, containing aggregate indicator data
- Facility-level data, including formulae
- Polygon-level data, including formulae
- Patronage source data

Raw Census data and shapefiles are not included in this repository.

Issued: 2020-1-10

Created: 2020-01-10

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