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This dataset contains a line network representing pedestrian walking routes throughout the City of Melbourne.
It features links to additional land subdivisions and incorporates additional elements/attributes. The network has been created with the intent to assist interested stakeholder in multiple modelling tasks including catchment analysis and route analysis.
It features links to additional land subdivisions and incorporates additional elements/attributes. The network has been created with the intent to assist interested stakeholder in multiple modelling tasks including catchment analysis and route analysis.
The network emulates pedestrian behaviour, by allowing free movement in low traffic areas while penalising busy crossings with traffic lights.
The network also connects to the City of Melbourne property layer through property centroids and connectors for all the different properties in the dataset.
The download is a zip file containing compressed .json files. Please see the metadata attached for further information.
Updated
November 19 2019
Views
1,915
File or Document
This dataset contains a simplified network representation of bike paths across City of Melbourne.
The dataset can be used to create a digital bicycle network with route modelling capabilities that integrated existing bicycle infrastructure. The network has been created to be used with ArcGIS network analyst. The resulting network was connected to the City of Melbourne property layer through centroids created for this project:
The dataset can be used to create a digital bicycle network with route modelling capabilities that integrated existing bicycle infrastructure. The network has been created to be used with ArcGIS network analyst. The resulting network was connected to the City of Melbourne property layer through centroids created for this project:
The network can assist in multiple modelling tasks including catchment analysis and route analysis. The download is a zip file containing compressed .json files
Please see the metadata attached for further information.
Updated
November 19 2019
Views
1,306
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