Walkability: Neighbourhood Analyses

Introduction

For this tutorial, we will undertake exercises using two of the tools within the Walkability component of the AURIN Portal. We will focus on the area of Maribyrnong in Victoria, and undertake some analyses within its neighbourhoods.

To begin with we will need to select our area, the Maribyrnong Local Government Area (LGA) in inner western Melbourne:

[Select your area > Australia > States and Territories > Victoria > Local Government Area > Maribyrnong]
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Neighbourhood Generation

Our first “analysis” will be generating neighbourhoods within the LGA. These will be used in the next components of the exercise.

a) Select Your Data

In order to do this, we first require some data. To generate neighbourhoods, two data kinds are required:

  • A walking network, along which to measure walking distances – usually representative of actual infrastructure (footpaths etc); and
  • A point file, representing “points of interest” which the walking catchment surrounds

i) Walking Network

For this exercise we will use the PSMA Street network. Use Select Your Data to search for PSMA Street Network, making sure that the bottom attribute (the blue “Geometry”) attribute is selected.

[Select Your Data > + Dataset > PSMA Street Network > “Geometry” Attribute > Add Dataset]

ii) Points of Interest

For this exercise we will generate our own points of interest. (HINT: You can also use PSMA trainstation points).
Click the geometry option in “Select Your Data”. From the toolbar that appears, select the left most option (Draw point), which will allow you to place points on the map. Place 4 or 5 points in locations dispersed throughout the Maribyrnong area, then click the save geometry button on the geometry tool bar (second to last icon on the right). Remember to name your dataset something that you will remember, such as Maribyrnong Points of Interest.

[Select Your Data > Geometry > Draw Point > Save Geometry]

b) Analyse Your Data

Now that we have our data, we are ready to generate the datasets. Under Analyse Your Data, select Walkability and then Neighbourhood Generator. This will bring up the parameter input box (below)

For Road Network select the PSMA Street Network, and for Points of Interest, select the point data set that you created. You can alter the distance along the street network that you would like the analysis to run for (600m has been selected here), and the size of the buffer around the road centre lines (50m has been selected here). After you have selected your parameters, click “Add Tools”.

Points-of-Interest

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[Analyse Your Data > Walkability > Neighbourhood Generator > enter parametersAdd Tools]

Once the Neighbourhood generator tool has appeared in the Analyse Your Data panel, reopen it (Show/Hide) and execute the workflow. This will cause the output (entitled Output: walkability001-xxx) to appear in the Select Your Data panel.

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[Analyse Your Data Show/HideExecute]

c) Visualise your outputs

Click on the spanner for this dataset and select Visualise Geometry. This will cause the data to appear in your Visualise Your Data panel at the bottom of the portal. Clicking on the eye will allow the neighbourhoods to appear on the map. Hovering over a neighbourhood will highlight it and allow its attributes to appear.

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[Select Your Data > Visualise GeometryVisualise Your Data Show/Hide]

Complete with Gross Density - Regions

Now that you’ve generated your neighbourhoods, you can use these to analyse various walkability indices within the areas. For this we will use the Complete with Gross Density (Regions) tool.

a) Select Your Data

In addition to the data that we have already loaded (street network) and generated (neighbourhoods), we need add:

  • Land use data
  • Population data

For this exercise we will source all of that information from the same datasource; we will use the 2006 Mesh Block dataset from ABS, which has land use and population data for each of the meshblocks. To add this data, click + dataset in Select Your Data, then search for 2006 ABS meshblocks and add it to your datacart

[Select Your Data > + DatasetVictoria Mesh blocks 2006 Census Add Dataset]

b) Analyse Your Data

We are ready to generate the output datasets. Under Analyse Your Data, select Walkability and then Complete with Gross Density (Regions). This will bring up the parameter input box (below)

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For the Network dataset select the PSMA Street Network. For Neighbourhood select the neighbourhoods that you just created in the last exercise. For Land use polygon dataset use the Victoria Mesh Blocks 2006 Census dataset, with “category” as your classification attribute. For Classification categories dataset again select the  Victoria Mesh Blocks 2006 Census dataset – this will automatically populate the Classification categories dataset with “category” and the Classification categories values field with “Residential”. You can select multiple values here, so select as many novel ones from the drop down box as you’d like, making sure that you have at least “Residential”. For the Population dataset select Victoria Mesh Blocks 2006, with “turpop2006: as your population attribute. Once you have selected this, click the Add Tools button.

[Analyse Your Data > Walkability > Complete with Gross Density (Regions) > enter parameters > Add Tools]

Once the Complete with Gross Density (Regions) tool has appeared in the Analyse Your Data panel, reopen it (Show/Hide) and execute the workflow. This will cause the output (entitled Output: walkability003-xxx) to appear in the Select Your Data panel.

[Click to Enlarge]

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[Analyse Your Data Show/Hide > Execute]

c) Visualise your outputs

Click on the spanner for this dataset and select Visualise Geometry. This will cause the data to appear in your Visualise Your Data panel at the bottom of the portal. Clicking on the eye will allow the outputs of the analysis to appear on the map. Hovering over a neighbourhood will highlight it and allow its attributes to appear, including all of the scores for the walkability indices, including connectivity, land use mix and average density

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Additional Information/Video

Full documentation for the walkability tools can be found here
There are more agent-based walkability tools here

A full video tutorial of the above set of exercises can be found in the video below

Walkability Tutorial V2 from AURIN on Vimeo.