flori mihai manager data planning and standards main roads wa
TRANSCRIPT
Flori Mihai
Manager Data Planning and Standards Main Roads WA
Content OutlineNational Transport Policies: Australia
Transport Council (ATC)
Strategic Research and Technology: purpose and deliverables
National Transportation Data Quality Framework
Challenges/Opportunities
ATC PoliciesA national transport policy, seamless national transport
system, national reform addressing:
Economic Framework for Efficient Transportation Market Place – single national registration scheme for trucks and single driver licence for truck drivers, a key step to introduce the principle of ‘the money following the truck’ - Intelligent Access Program (IAP)
Infrastructure Planning and Investment - interrelationship between land use planning and the passenger transport task in the planning stage of transport infrastructure investments.
ATC Policies (cont.)Urban Congestion -improving the quality of
information and transport and land use modelling, enhancing integration of transport and land use planning
Supply Chain - 12 supply chains which are of national significance: coal, iron ore, livestock and meat, copper, grain, seafood, processed foods (including dairy), wine, forestry automotive, petroleum and general freight (including containers) , need good intelligence on the demand for transport services
ATC Policies (cont.)Road Safety - In-vehicle and at-roadside technology, including
the digital tachograph technology and other potential solutions that use global positioning systems (GPS); Investigation of a national ‘stars on cars’ program to provide consumers with safety ratings on new light vehicles
Climate Change - A mandatory CO2 emissions standard for cars, light commercial vehicles and sports utility vehicles; research and development of low emissions fuels and transport technologies
Strategic Research and Technology (SR&T) – National collaborative strategic research and technology agenda that looked beyond a modal focus; harmonising national transportation data.
SR&T: National Transportation Data Action Plan1. Identify strategically important national transportation data
2. Identify data gaps (incl. analysis gaps) and data procurement methods - by Oct. 2009
3. Define “level One” metadata attributes and “desirable” metadata attributes - by Oct. 2009
4. Improve the institutional environment for managing transportation data - by October 2009
5. Improve the visibility of the data through a web portal - by Oct. 2009
National Transportation Data Quality Framework (QF)Based on Australia Bureau of Statistics QF – six elements; can be
used for each data set but also for strategic purposes to assess how existing transportation data meets national policy needs
1.Relevance
Reflects the degree to which it meets the real needs of clients Described in terms of key user needs, key concepts and the scope
ofthe collection including the reference period. These components are then compared against specific user needs to assess relevance
Lack of coordination between user needs and available data, or in other words data not relevant to the needs, indicate data gaps
National Transportation Data QF (cont.)2. Coherence
Reflects the degree to which it can be successfully brought together with other statistical information within a broad analytic framework and over time
Coherence encompasses the internal consistency of a collection as well as its comparability both over time and with other data sources
The use of standard concepts, classifications and target populations, coverage information and data presentation standards promote coherence, as does the use of common methodology across same type surveys
National Transportation Data QF (cont.)3. Accuracy
The degree to which the information correctly describes the phenomena it was designed to measure
Usually characterised in terms of error in statistical estimates and is traditionally decomposed into bias (systematic error) and variance (random error) components
It may also be described in terms of major sources of error that potentially cause inaccuracy (e.g. sampling, non-response)
National Transportation Data QF (cont.)4. Currency/timeliness
Refers to the delay between the reference point (or the end of the reference period) to which the information pertains, and the date on which the information becomes available
Also refers to data collection frequency
National Transportation Data QF (cont.)5. Institutional Environment
Refers to the data provider and includes institutional and organisational factors that have a significant influence on the effectiveness and credibility of the agency producing the data
Examples of the information that may be contained within this dimension are professional independence, mandate for data collection, adequate resources, quality commitment, statistical confidentiality, impartiality and objectivity
In a broader context, it can be applied to data governance structures
National Transportation Data QF (cont.)6. Accessibility
Includes the ease with which the existence of information can be ascertained
The suitability of the form or medium through which the information can be accessed such as file format, compression and exchange protocols
The cost of the information may also be an aspect of accessibility for some users
…In a nut shellRelevance - title and description of the dataset and
why was created, what is its purpose?Coherence - providing information on time series
and dataset comparability, logical consistencyAccessibility - how to access information, contact
details, data formats available, if any constraints on use
Institutional Environment - who created the dataset, which organisation?
Accuracy - including a description of collection method, quantify sampling error and coverage, and describing accuracy of administrative data
Timeliness and Currency - what is the reference period for the dataset?
Comparison with ANZLIC Metadata Guidelines400 metadata elements (24 core elements for
geographic data?) fit into the 6 broad attributes, for example:
Quality described by: Lineage Positional accuracy Attribute accuracy Logical/conceptual consistency Completeness/omission
Currency: Beginning Date End Date Maintenance and update frequency
Challenges/OpportunitiesRight balance between usefulness of the
metadata information for the user and the burden on the metadata provider (processes, systems, time, $)
Harmonisation of metadata requirements, start with minimum requirements
Visibility of the data and metadata