Draft National Infrastructure Data Collection and Dissemination Plan Case Studies
- Case Study 3.1—Heavy Vehicle Infrastructure Asset Registers
- Case Study 3.2—Ex-post Economic Evaluation of National Road Investment Projects
- Case Study 3.3—Road freight telematics pilot study
- Case Study 3.4—Telstra Location Insights®
- Case Study 3.5—Using retail data to provide insights on the travel habits of granular population segments
- Case Study 4.1—Prototype road-speed performance dashboard
- Case Study 5.1—search.data.gov.au
- Case Study 5.2—NationalMap demonstration
- Case Study 5.3—Transport for NSW Open Data Hub Open Data Hub
- Case Study 5.4—Australia & New Zealand Infrastructure Pipeline
- Case Study 5.5—Data Standard for road management and investment
- Case Study 5.6—Driving Consistency with Common Planning Assumptions
- Case Study 5.7—Data Sharing Taskforce
- Case Study 5.8—Open Data to support connected and automated vehicle (CAV) systems
Case Study 3.1—Heavy Vehicle Infrastructure Asset Registers
Heavy Vehicle Infrastructure Asset Registers (asset registers) provide information on key freight routes across Australia. The asset registers increase the transparency of service delivery to the heavy vehicle industry and enhance public understanding of the performance of the road infrastructure network.
The asset registers are developed annually for each jurisdiction and published on the Transport and Infrastructure Council website. The information is provided in both data tables and interactive map files, which can be opened in Google Earth or a similar mapping application.
Opportunities exist to improve and expand on the asset registers over time, including, for example: harmonisation of asset reporting data across states and territories; improved data accessibility; and increased breadth of data—to incorporate more roads.
The image to the left shows heavy vehicle infrastructure routes in Ravenshoe (Far North Qld).
Ratings above the expected level for a particular road type are coloured blue, those within the expected range are coloured green while those with a rating below the expected range are coloured red.
Case Study 3.2—Ex-post Economic Evaluation of National Road Investment Projects
BITRE has undertaken two rounds of ex-post evaluations of national road investment projects: one in 2005-2007 and the other in 2014-2016. BITRE Research Report 145 (unpublished) synthesises the earlier ex-post evaluation results with the aim of identifying opportunities to improve future cost-benefit analyse (CBA) and project appraisal. Evidence drawn from the ex-post case studies suggests there is much room for improvement in the quality of practical Australian road CBAs if they are to be used as an effective tool for option ranking and project prioritisation purposes.
Key areas identified for improvement include:
- CBA documentation
- CBA review
- Traffic forecasts
- Road user benefit assessment; and
- Project cost estimation.
Findings of this report are expected to inform the ongoing update of Australian Transport Assessment and Planning (ATAP) guidelines and Infrastructure Australia's Assessment Framework, which will in turn contribute to making better infrastructure investment decisions in future.
Case Study 3.3—Road freight telematics pilot study
BITRE and the ABS recently completed a pilot study using vehicle telematics data based on one month of vehicle GPS records, collected from 1,500 vehicles. This equates to approximately 18 million individual GPS records. Data from the analysis provides insights into questions that influence government and private sector decisions that shape our transport infrastructure, including:
- What routes are currently used by freight vehicles, and do these align with agreed national freight routes?
- Where does freight congestion occur? What parts of the network are the most congested locations for freight?
- Where do trucks stop? Is the existing network of rest stops and service centres adequate?
- How do route travel times vary across urban areas?
- How do freight movements vary over time and by region?
The figure (above) is based on the GPS sample dataset and shows average truck speeds across roads in the Sydney Greater Metropolitan Area, during the sample period (May 2016). Red sections represent slow average speeds and the coloured circles represent stops at popular stop locations.
Case Study 3.4—Telstra Location Insights®
Telstra Location Insights® utilises aggregated and anonymised GSM (Global Systems for Mobile Communications) data from Telstra's national mobile network and CRM platform. Telstra weights and projects against the ABS universal estimates, enabling Telstra to offer rich insights on the movements of the national Australian population, with characteristics such as location, travel patterns, times and demographics while ensuring that customer privacy is protected. As of 11 May 2017, Telstra has matured its spatial resolution offering from SA2 sized geometries to higher granularity of SA1 sized areas.
Customers are able to access near real-time insights on transient populations. Organisations can plan and report on performance of infrastructure before, during and after implementations, a council can quantify the strain of tourism on local facilities or government bodies can observe and predict the shift in population movements stemming from a natural disaster.
The figure (above) is based on analysis Telstra completed for a client to better understand transient populations. The figure shows population insights at an SA1 level covering the Melbourne CBD district and inferring residential, worker and visitor representations using sophisticated data science modelling.
Case Study 3.5—Using retail data to provide insights on the travel habits of granular population segments
Within Quantium's data ecosystem, there are over 20 trillion data points on the everyday habits of Australians, including anonymised credit and debit transaction records. Quantium has applied analytics to these data points and other open source routing data to map citizen journeys. This was done by looking at their transactions location at each point in their journey and applying algorithm to predict which path they would have taken. This analysis provides insights into the travel habits of different population segments and answers several questions, such as:
- Who are the travellers?
- Where are they travelling to?
- Why are they travelling? (for example, grocery shopping or attending medical appointments)
- Which segment of the road network are they using?
The images below shows retail footprint of citizens aged 65+ who live in the Sydney suburb of Liverpool, by time of day and postcode. Darker colours represent higher number of retail transactions.
click for animated version
These images (Images) have been prepared by The Quantium Group Pty Limited and / or Market Blueprint Pty Ltd (together, Quantium) using raw data owned by National Australia Bank Limited (NAB). NAB has not been involved in the analysis of the raw data, nor the preparation of these Images and does not make any representation (express or implied), nor give any warranty in relation to the accuracy, completeness or appropriateness of the raw data or the analysis supporting these Images. To the maximum extent permitted by law, NAB expressly disclaims, takes no responsibility for and has no liability for the preparation, contents, accuracy or completeness of these Images or the analysis on which it is based. The information in this report is provided in confidence and may only be used for the purpose provided and may not be reproduced or disclosed without permission.
Case Study 4.1—Prototype road-speed performance dashboard
HoustonKemp has built a prototype road-speed dashboard using HERE traffic GPS probe data to provide information on speed performance and reliability of road networks.
The dashboard currently provides information on speed performance and reliability at a number of spatial scales: citywide, major roads, postcode, point to point custom route selection, and for individual roads. Users are provided with insights on road performance across a number of time dimensions, including hourly, AM and PM peaks, by day of the week, monthly and yearly.
The prototype version currently contains data from January 2013 to December 2016 and for Brisbane, but can be extended to include data up until yesterday and to all roads across Australia. The dashboard is currently only available to BITRE staff.
The screen shot (above) is from the Houston Kemp Dashboard showing speed performance and reliability measures.
Case Study 5.1—search.data.gov.au
The Data and Digital Branch at DPMC are working with Data61 to develop the next generation of data.gov.au. This work includes sharing early prototype projects. Information about this functionality is available on preview.data.gov.au providing users with the opportunity to provide feedback.
One early prototype is located at search.data.gov.au. It demonstrates the concept of ‘borderless searching’, making it easier to discover data from all levels of government by including search results from open data portals not usually available through data.gov.au. The prototype also improves user experience by providing enhanced searching options such as a search syntax that allows users to find data from a specific publisher or in a particular data format.
Note: search.data.gov.au will eventually work in all browsers, but currently only works with modern web browsers (such as the latest versions of Google Chrome and Mozilla Firefox)
Case Study 5.2—NationalMap demonstration
This case study demonstrates how data from multiple sources can be displayed using NationalMap. The image below shows regions around Australia's largest coal port, Newcastle, and includes spatial datasets on:
- The location of major sea ports (Department of Infrastructure and Regional Development)
- Mine areas (Geoscience Australia)
- Railways (Geoscience Australia)
- Industry of employment data (mining), by SA2 (ABS).
NationalMap also allows users to interactively display information on selected datasets by clicking on the relevant section of the map. For example, the box on the right of the image below shows Industry of Employment data for the Singleton region.
Case Study 5.3—Transport for NSW Open Data Hub Open Data Hub
TfNSW's Open Data Hub was launched in April 2016 and is the portal to TfNSW's data and information. It also acts as a showcase for innovation from the use of transport data.
There are now around 5,000 subscribers on the Transport Open Data Hub, including a range of Data Scientists, Researchers, App Developers and other members of the community who are deriving benefits from it. There is also a supporting forum which enables active dialogue with the subscriber community that provides the direction for the further release of data sets and continuous improvement in the Open Data Hub.
The image below shows the Product Showcase section of TfNSW Open Data Hub. Users are able to click on individual Apps to access more information and to view download links.
Case Study 5.4—Australia & New Zealand Infrastructure Pipeline
The Australia & New Zealand Infrastructure Pipeline (ANZIP) is a joint initiative between the Australian and New Zealand Governments, and Infrastructure Partnerships Australia (IPA). It informs industry of where and what infrastructure opportunities are available, and when they come to market by tracking greenfield and brownfield transactions from when they are proposed, until they reach contractual and financial close. ANZIP information is displayed on an interactive map that provides a forward view of public infrastructure activity across Australia and New Zealand. Users are able to filter infrastructure projects by jurisdiction, type, status and value and click on individual projects for more information (see example below)
The screenshot (left) shows ANZIP infrastructure project information in Perth, with the Perth Airport Third Runway project selected.
Case Study 5.5—Data Standard for road management and investment
Austroads is undertaking a project to establish a harmonised road asset data standard for use in Australia and New Zealand. Types of data considered in the project include road asset data, descriptions and locations of assets, maintenance activities and cost metrics, asset condition and performance and road classification.
The first version of the Standard involved extensive research into existing data requirements and current practice and provided information for road managers and the wider road sector. It was delivered by Opus International Consultants and GISSA and published in November 2016. The second version of the Standard is being undertaken by Opus International Consultants and will contain additional data fields, and will be supported with an implementation plan. It is expected to be published in 2017.
Case Study 5.6—Driving Consistency with Common Planning Assumptions
The preparation of Common Planning Assumptions is a New South Wales initiative to collect and document fundamental assumptions to underpin the development of key government strategies. This cross-agency initiative is aimed at ensuring the alignment and consistency of assumptions in strategies and plans prepared by different NSW government agencies and departments. It was established to minimise the risk of some agencies using different assumptions and projections for service and infrastructure planning—a situation which could contribute to sub-optimal decision making.
The Common Planning Assumptions represent a consistent baseline or a starting point to underpin planning decisions and policy analysis for government strategies and investment decisions. They include:
- assumptions for economic growth, industry sectors, fertility, mortality, migration and infrastructure (to inform projections); and
- projections, forecasts and the use of approved targets for population, housing and employment.
The Common Planning Assumptions provide for certain agencies to have primary responsibility for key assumptions.
Case Study 5.7—Data Sharing Taskforce
A Data Taskforce led by the Australian Computer Society (ACS), and the NSW Data Analytics Centre (DAC) has been created to address the overarching challenge of developing privacy preserving frameworks which support automated data sharing to facilitate smart services creation and deployment. This framework will seek to address technical, regulatory, and authorising frameworks. The intention is to identify, adopt, adapt, or develop frameworks for data governance, privacy preservation, and practical data sharing which facilitates smart service creation and cross jurisdictional data sharing between governments. The approach is to identify best practice where it is known to exist; consider existing models in an Australian privacy context or identify ‘whitespace’ opportunities to develop frameworks for Australia.
The Taskforce includes representatives from ACS, the NSW DAC, Standards Australia, the Federal Government's Digital Transformation Office (DTO), CSIRO, Data61, the Department of Prime Minister and Cabinet, other Commonwealth and State agencies/departments, Gilbert and Tobin, the Communications Alliance, Telstra, IBM, Mastercard, and Microsoft.
Case Study 5.8—Open Data to support connected and automated vehicle (CAV) systems
Austroads, as part of the National Policy Framework for Land Transport Technology, is undertaking a project to investigate key road operator data attributes that will be used as part of the CAV system. The project will identify gaps with the current environment and whether a further range of projects are required on this issue, given the work that is being undertaken by road operators.
Issues that will potentially be explored as part of this project will include road data management, standardisation/harmonisation and support for proprietary models, and road authority regulatory framework in a digital environment.