Indices of access to services and infrastructure for North West of Melbourne

As part of an agreement among City of Melbourne, AURIN and CSDILA, we will soon implement an additional tool in the North West Melbourne integration portal to create indices for infrastructure availability, service accessibility, proximity to services and unrealised potential quotient/infrastructure availability. These tools are intended to help summarise the population’s access to infrastructure and services in a Local Government Area. The indices can summarise this information with scores which are indicators of access to services and infrastructure.

Spatial Data Integration and Access – Phase 2

We are pleased to announce that CSDILA has extended its collaboration with AURIN on the Spatial Data Integration and Access tool for another 1.5 years. The extension period will allow for the exiting activities to be expanded and completed in the context of location-based enabled platform, as well as for the new activities to be implemented.

The activities include the integration of additional datasets, for example, a number of datasets have been identified within the project as being of potential benefit but due to limited time these data resources have not been fully exploited within the project. Also the extension includes the maintenance of the metadata tool as common infrastructure to facilitate data discovery and access as well as a collaboration with the Bureau of Infrastructure, Transport and Regional Economics (BITRE) (http://www.bitre.gov.au/)

Employment Deliverable #8 – Final Product Post

Product name: Employment Clustering tool to evaluate the imactos of planned activity centres on Local Employment and Acessibility.

Primary users: Economists, Strategic Planners, Researchers

Synopsis:

This project responds to a consensus among local policy makers, that Melbourne needs to adopt a multi-nodal metropolitan planning strategy in order to foster local economic development and reduce commuting. For decades, metropolitan planning strategies have sought to promote non-CBD centres in Melbourne.  The tool further responds to a consensus among economic development planners that ABS data is insufficient to identify local urban clusters for analysis.  We wish to understand whether spatial policies aimed at cluster development have actually resulted in employment clusters.  This tool moves us toward examining those policies by providing a framework to identify whether and where local employment clusters have formed.

Our tool is comprised of a hierarchical clustering algorithm that makes use of three integrated sub-tools (A Spatial dissimilarity index tool, A Value chain tool, A Polygon splitting tool) , each of which provides various functions and analysis options. Further information relating to the technical specification is available from Sophie Sturup: ssturup@unimelb.edu.au


Instructional Product Information:

To use the tool requires the user to logon to the AURIN portal via: https://apps.aurin.org.au/gate/index.html

Once in the portal follow the instructions:

– Find the dataset you wish to use. It will need to be a shapefile with all the files combined into a single .ZIP.

– Click (Data Cart)Upload> enter a title and abstract> browse to the zipped SHP> click Upload> click Add into Data Cart.

– Click Workflow> Employment Clustering> M Wards Clustering. Now fill out parameters and Click Add Workflow (An example interactive screen is shown below)

– In Data Cart, click the eye next to M Wards Clustering. Click Execute.

– The algorithm will start. It could take some time if you chose a large dataset…

– The message “Execution of workflow is successfully completed …” will eventually appear in the the Workflow Execution console.

– The data results will appear at the bottom of the Data Cart. Click the eye to view the results as a table.

– Create a choropleth clicking  (Visualisations)Viz & Widget> Special Visualisations> Feature Colorist:

Dataset = Data result: Wards Clustering (the second one),

Attribute = wardclut,

Classifier = pre-classified,

Palette = qualitative,

Centroid = false,

 

 

– Click Add Visualisation, then click the eye next to Feature Colorist.

Product (or Product Components) Re-usability Information:
The code is licensed under creative commons.
The source code is available within the GitHub:  https://github.com/AURIN/thirdparty-analytics

The authours of the tool hope that the tool will be useful to analysts interested in economic and spatial analysis in Melbourne, and also to urban planners revisioning melbourne Melbourne’s Metropolitan spatial plans. Our nect steo is to use the tool to analyse the effects of Melbourne’s sub centering strategies implemented since 1981. In particular the team are intereted in understandin whether industry clusters are occurring in the region, and if so, in which industries.

Employment Post #5 – Deployed, tested and documented software system

The Application

The purpose of this tool was to develop an open-source software tool for identifying urban employment clusters, that will be accessible to anyone with a suitably-appointed computer and internet access.  The tool enables governments and researchers could examine spatial employment clustering in metropolitan regions in much finer spatial units than are currently supplied by the Australian Bureau of Statistics.

This project responds to a consensus among local policy makers, that Melbourne needs to adopt a multi-nodal metropolitan planning strategy in order to foster local economic development and reduce commuting. For decades, metropolitan planning strategies have sought to promote non-CBD centres in Melbourne.  The tool further responds to a consensus among economic development planners that ABS data is insufficient to identify local urban clusters for analysis.  We wish to understand whether spatial policies aimed at cluster development have actually resulted in employment clusters.  This tool moves us toward examining those policies by providing a framework to identify whether and where local employment clusters have formed.

 

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Age blog feature: Better liveability through data in Melbourne’s north-west

Today Craig Butt published a blog post featuring outputs from the Health and Housing demonstrator projects.

“Highly-targeted maps generated by the tool show pockets of social disadvantage,  in parcels of land as small as a few city blocks, where high rates of illness  and poor access to medical help collide.”

Read more: http://www.theage.com.au/data-point/blogs/the-crunch–data-point/better-liveability-through-data-in-melbournes-northwest-20130808-2rin8.html#ixzz2bS3Nt6u1

Health Demonstrator Blog Post #5 – Deployed, tested and documented software system

The Application

The purpose of this tool was to yield a more accurate understanding of the distribution of people with risk factors for Type 2 Diabetes (ie Existing prevalence of Type 2 Diabetes, Depression, Obesity, Smoking) and Health Services General Practice which has bulk billing, Fee only, after hours service etc.). 

User-specified functionality

This is a exploratory tool that allows the user to test different risk factors and health service locations. For example areas with a SEIFA score of less than 4 and a Diabetes prevalence less than 5 people per 100 and walking distance to a fee paying GP with an after hour hours services. To achieve this the interface was developed first as a prototype tested with users and then developed further into an online interactive tool. To assist users the tool includes a series of slider bars and tick boxes which enable the user to select parameters. Once the selection is finalised the “run” button allows the user to run the analysis.

 

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Employment Demonstrator goes to Dublin

 

The employment demonstrator team was in Dublin on 16 July delivering a paper on the tool they have developed entitled “An Open-Source Tool for Identifying Industrial Clusters in a Data-Poor Environment”. The paper was delivered at the AESOP/ACSP Joint Congress “Planning for Resilient Cities and Regions”. The paper was well delivered in a session with a number of other tools created to assist researchers in better understanding urban environments. It was well received with discussion afterward focused on the issue of how to deal with the allocation of weightings between components in a algorithm. Ultimately it was concluded that decisions on weightings should be transparent and related to a theoretical position. It is for this reason that the employment demonstrator tool has been designed to allow the user to select the weighting they will apply. Notably it was the only tool in the group to have made allowance for user selected weighting.  A copy of the slides presented can be found here: An Open-Source Tool for Identifying Industrial Clusters in a Data Poor Environment

Health Demonstrator – Demonstration of Value

Professor Jane Gunn has conducted a number of conference presentations and meeting presentations outling the value of the Health Demonstrator project each of these activities are outlined below:

1. Conference Presentation: Professor Jane Gunn, Dr. John Furler  and Dr Victoria Palmer titled: Care and Systems Experience – Diabetes CASE-D. Presentation slides available here: SAPC_Presentation
Reference to the presentation is here: https://sapc.conference-services.net/programme.asp?conferenceID=3100&action=prog_list&session=23554

2. Meeting with Dr Pradeep Philip (Secretary for the Victorian Government Department of Health), this meeting was held on the 18th of November 2012 at the University of Melbourne and involved a number of University of Melbourne and Department of Health staff. The aim of the meeting was to update Dr Philip on the outcomes of the University of Melbourne and Department of Health partnership. Dr Philip was very impressed with the work conducted and commented on the importance of evidence based decision making especially for hospitals in the Northern Region. Slides used at this presentation are included here: UoM Partnership Meeting

3. Professor Jane Gunn and Dr John Furler have also submitted a manuscript which will be printed on the 8th of August. The ttle of the paper is: Linking “Health and Social Infrastructure Data for Equitable Health Planning in Type 2 Diabetes” ( a link to the manuscript will be added to this post after the 8th of August). 

Health Deliverable #8 – Final Product Post

1.     Introductory Product Information

Product name: Examining How Social Infrastructure Data Can be Used  in Local Health Planning and Innovation for Type 2 Diabetes Management

Primary users: Medicare Locals and Primary Care Partnerships, State and Local Government Health Planners

Synopsis:  Clustering of diabetes prevalence, other physical and psychological conditions and social disadvantage are important issues for those charged with planning and integrating health services, both primary care and hospital services. It means planners need to understand where particular areas of composite vulnerability and disease burden exist and how to match provision of integrated health and social care services to those areas of high composite need.

This demonstrator pilot project drew on a study of the care experiences of a number of people with diabetes from marginalised and disadvantaged backgrounds in the North and West Metropolitan Region(N&WMR) of the Victorian Department of Health. The demonstrator project  attempts to make possible the integration of health and social data to identify ‘hot-spots’ of combined or clustered vulnerability and  visually represent service location and accessibility relevant to the complex health and welfare needs of people from these locations.

The mapping tool was developed with input from a research and system “champion”, technical experts and end users.

 

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Health Demonstrator – User Testing

On the 18th of July Dr John Furler conducted a user testing workshop for the health demonstrator project. This was complemented with a 15 minute presentation from Jack Barton on the AURIN Portal. Agencies participating in the user testing workshop include: The Inner North West Primary CAre Partnership, Inner North West Medicare Local, Australian Bureau of Statistics, Department of Health, North East Primary Care Partnership and the Hume Whittlesea Primary Care Partnership. To being with an introduction to the health tool was presented and this was followed with a scenario testing excercise which involved using the  health demonstrator tool to locate a new GP clinic in the area along with a co-located specialist dieabetes outreach and additional mental health and social support service. The users were then asked to provide feedback on the performance of the tool.
The original notes used in this testing process are available from here: John Furler Presentation 18 July 2013  Overall the tool has been very well received by the users, with the feedback received  relating to additiona data and functionality to expand the tool further.