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The University of Sydney Page 1
Combining spatial data:
benefits and applications
Modelling Workshop, AITPM 2016
Sydney, Australia
Dr Adrian B. Ellison
Dr Richard B. Ellison
The University of Sydney Page 2
Background
› Increasingly large sources of transport and land use data
› Biggest benefit comes from combining several sources
› For modelling, reduces reliance on assumptions
The University of Sydney Page 3
Background
› Existing statistical methods are not well suited
› Behavioural data (from GPS, smartcards, etc.) can be ‘noisy’
› Need to isolate the impact of individuals’ behaviour from external factors
The University of Sydney Page 4
Multilevel factors
The University of Sydney Page 5
Temporal and Spatial Identifiers (TSI)
The University of Sydney Page 6
The University of Sydney Page 8
From driver behaviour to public transport user
behaviour
The University of Sydney Page 9
From driver behaviour to public transport user
behaviour
The University of Sydney Page 10
Application in transport models – MetroScan-TI
The University of Sydney Page 11
Application in transport models – MetroScan-TI
Predictive
Models
Stated
Preference
Surveys
Revealed
Preference
Surveys
Traffic/pedestrian
counts
Smartphone
and GPS traces
PT Operations,
smartcard data
Census, land-use
and GPS data
The University of Sydney Page 12
Application in transport models – MetroScan-TI
The University of Sydney Page 13
Application in transport models – MetroScan-TI
The University of Sydney Page 14
Software
› Solution uses free and open source software
R Project (statistical software) Quantum GIS
PostgreSQL with PostGIS
(database)
OSRM (routing)
The University of Sydney Page 15
Software
› Open standards to make combining datasets easier and more robust
› Benefits from the largest combination of functionality
› Packaged deployment possible with distributed and high performance
computing
The University of Sydney Page 16
Combining spatial data:
benefits and applications
Modelling Workshop, AITPM 2016
Sydney, Australia
Dr Adrian B. Ellison
Adrian.Ellison@Sydney.edu.au
Dr Richard B. Ellison
Richard.Ellison@Sydney.edu.au

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Combining spatial data benefits and applicator

  • 1. The University of Sydney Page 1 Combining spatial data: benefits and applications Modelling Workshop, AITPM 2016 Sydney, Australia Dr Adrian B. Ellison Dr Richard B. Ellison
  • 2. The University of Sydney Page 2 Background › Increasingly large sources of transport and land use data › Biggest benefit comes from combining several sources › For modelling, reduces reliance on assumptions
  • 3. The University of Sydney Page 3 Background › Existing statistical methods are not well suited › Behavioural data (from GPS, smartcards, etc.) can be ‘noisy’ › Need to isolate the impact of individuals’ behaviour from external factors
  • 4. The University of Sydney Page 4 Multilevel factors
  • 5. The University of Sydney Page 5 Temporal and Spatial Identifiers (TSI)
  • 6. The University of Sydney Page 6
  • 7. The University of Sydney Page 8 From driver behaviour to public transport user behaviour
  • 8. The University of Sydney Page 9 From driver behaviour to public transport user behaviour
  • 9. The University of Sydney Page 10 Application in transport models – MetroScan-TI
  • 10. The University of Sydney Page 11 Application in transport models – MetroScan-TI Predictive Models Stated Preference Surveys Revealed Preference Surveys Traffic/pedestrian counts Smartphone and GPS traces PT Operations, smartcard data Census, land-use and GPS data
  • 11. The University of Sydney Page 12 Application in transport models – MetroScan-TI
  • 12. The University of Sydney Page 13 Application in transport models – MetroScan-TI
  • 13. The University of Sydney Page 14 Software › Solution uses free and open source software R Project (statistical software) Quantum GIS PostgreSQL with PostGIS (database) OSRM (routing)
  • 14. The University of Sydney Page 15 Software › Open standards to make combining datasets easier and more robust › Benefits from the largest combination of functionality › Packaged deployment possible with distributed and high performance computing
  • 15. The University of Sydney Page 16 Combining spatial data: benefits and applications Modelling Workshop, AITPM 2016 Sydney, Australia Dr Adrian B. Ellison Adrian.Ellison@Sydney.edu.au Dr Richard B. Ellison Richard.Ellison@Sydney.edu.au