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Combining spatial data benefits and applicator

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Dr Adrian Eliison and Dr Richard Ellison

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Combining spatial data benefits and applicator

  1. 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. 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. 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. 4. The University of Sydney Page 4 Multilevel factors
  5. 5. The University of Sydney Page 5 Temporal and Spatial Identifiers (TSI)
  6. 6. The University of Sydney Page 6
  7. 7. The University of Sydney Page 8 From driver behaviour to public transport user behaviour
  8. 8. The University of Sydney Page 9 From driver behaviour to public transport user behaviour
  9. 9. The University of Sydney Page 10 Application in transport models – MetroScan-TI
  10. 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. 11. The University of Sydney Page 12 Application in transport models – MetroScan-TI
  12. 12. The University of Sydney Page 13 Application in transport models – MetroScan-TI
  13. 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. 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. 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

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