Using Innovative technology for planning
Associate Professor Rochelle Eime
r.eime@federation.edu.au
Sport Participation in Australia
• Problem:
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Lack of integration of sport participation data with other data
Lack of systematic use of data to inform decision making
Lack of national sport participation data
Data:
Access
Integration
Analysis
Knowledge
• Solution
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Integration of data
Analysis to inform program and policy development at organisational and national
level
• Goal:
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more active, more often
Sport and Recreation Spatial
• Innovative use of latest technologies, GIS
mapping capabilities and research to generate
knowledge and insight for the sport and
recreation, health and education sectors.
• Data collection, data integration, statistical
analysis, data visualisation via geographical
information system (GIS) programming and
mapping, and dissemination of knowledge
• Provides increased capacity for strategic planning
and development of participation programs and
facilities
Critical factors for sport and recreation
Participants
Health
Population
Facilities
4 key areas
• Participation levels and trends
• Influences on participation
• Value of sport: the health benefits of
participation
• Places to play: the nexus between facilities
and participation
Range of data
• Leisure time physical activity data- 10 years
• Sport participation data- SSA’s- up to 5 years
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Player, coach and official
Over 2.6 million records to date
Sport and recreation facility data
Population demographics
Population projection data
Health data
Physical activity levels
Education
Sports
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AFL
Tennis
Netball
Basketball
Cricket
Hockey
Lawn bowls
Outputs
• GIS- Organisations directly use GIS to spatially visualise
and analyse
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Sector-wide data
Their own data
Derived and customised indicators
• Research
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Individual research summary reports
Sector level peer review publications
Examples:
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Participation trends over time
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Participation age profiles
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Facility provision
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Attrition/drop-out
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Transition from modified sport program to competition
Technology
• OpenLayers, Mapserver, Mapcache and a spatially enabled database to
dynamically generate choropleth maps.
• In excess of 190,000 possible map combinations by use of the following
data aspects:
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Year (2000-2013)
Age Group (5 yr, 10 yr, 15 yr, 20 year, Custom)
Gender (Male, Female)
Participant Club (5000+)
Participant Program (40+)
Coach Level
Umpire level
Region type (Postcode, LGA and SA4)
Data Metric (Total participants/coaches/umpires, Participation Rate
(Percentage of region population, Change from Previous year)
Features
www.sportandrecreationspatial.com.au
Participation numbers- Postcode
Demographic breakdowns
Participation filters
Number of participants
Yearly participation rate- LGA
Changes in participation
Exporting data
Age profiles of sport
Health
Facilities
Provision of facilities
Playing fields/courts per participant: by LGA
Details of facilities
Provision of facilities
Population projections
Population projections
Socio-Economic Status
Contact Details
Associate Professor Rochelle Eime
VicHealth Research Practice Fellow
Federation University, Victoria University
r.eime@federation.edu.au
(03) 5327 9687
www.sportandrecreationspatial.com.au