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Collecting activity-travel diary data : state of the art and a hand-held computer-assisted solution

Collecting activity-travel diary data : state of the art and a hand-held computer-assisted solution. Bruno Kochan, Tom Bellemans, Davy Janssens, Geert Wets Transportation Research Institute (IMOB) Hasselt University Belgium www.imob.uhasselt.be bruno.kochan@uhasselt.be.

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Collecting activity-travel diary data : state of the art and a hand-held computer-assisted solution

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  1. Collecting activity-travel diary data : state of the art and a hand-held computer-assisted solution Bruno Kochan, Tom Bellemans, Davy Janssens, Geert Wets Transportation Research Institute (IMOB) Hasselt University Belgium www.imob.uhasselt.bebruno.kochan@uhasselt.be Universiteit Hasselt, Campus Diepenbeek, Wetenschapspark 5 bus 6, BE-3590 Diepenbeek, Belgium

  2. Outline • Introduction to Activity Based (AB) data • Data collection • Functional description of a new data collection tool • Conclusion

  3. Introduction • 1950: - Rapid increase in need for transportation - Several Transportation models were used to predict travel demand • Four-step models: Travel = result of 4 subsequent decisions, modelled separately • Disadvantage of four-step models: No relationship travel <-> non-travel aspects • Solution: Activity-Based (AB) transportation models

  4. Introduction • AB models predict interdependencies between several facets of activities • Facets: - Which type of activity ? - When ? - For how long ? - Conducted where ? - Which transport mode ? - With whom ?

  5. Data Collection Activity Based transportation models: • Data is collected by means of Activity-Travel diaries • Diary consists of a sequence of activities and journeys • Diary focuses on all the activities and journeys • Diaries: Heavy demands on data collection system - Take time to fill out - A lot of activity facets

  6. Data Collection Paper-and-pencil + Pro: • Filled out any time and place Con: - Prone toerrors - Consistency - Complex - Tedious

  7. Data Collection Computer aided self interview of activity-travel scheduling behaviour: - CHASE (Doherty, 1997) - VIRGIL (UHasselt, 2004) Pro: - User guidance - Data quality Con: - Filled out at specific time - Filled out at specific place - Portability

  8. Data Quality Data quality: - Activity: e.g. Begin time before end time - Journey: e.g. Duration journey must equal sum trip durations - Activity and Journey: No time gaps - Activity and Journey: “Location continuity”

  9. Data Quality Activity 1 Activity 2 Location A Location B Journey 1 Start Location A Start Location B

  10. Data Quality Activity 1 Activity 2 Location A Location B Journey 1 Start Location A Start Location B

  11. Data Quality Activity 1 Activity 2 Location A Location B ! Journey 1 Start Location A End Location C

  12. Data Quality Activity 1 Activity 2 Location A Location B Journey 1 Start Location A End Location B

  13. Data Collection Computer-aided self interview of activity-travel scheduling behaviour: - CHASE (Doherty, 1997) - VIRGIL (UHasselt, 2004) Pro: - User guidance - Data quality Con: - Filled out at specific time - Filled out at specific place - Portability

  14. Data Collection Internet-based self interview of activity-travel scheduling behaviour: - iCHASE (Doherty, 1999) - REACT (McNally, 1999- 2001) Pro: - Filled out at different places (e.g. work, home) - Filled out at different times - Portability

  15. Data Collection Personal Digital Assistant (PDA) - EX-ACT (Rindsfüser, 2003) Pro: -Filled out at any place (e.g. work, home, bus) -Filled out at any time Con: - Battery autonomy

  16. Data Collection GPS-enabled Personal Digital Assistant (PDA) - Doherty, 2001 - IMOB, 2005 Pro: - Respondent may forget to report journey - Enables capturing route information - Data can be used for checking consistency Con: - GPS not always reliable - GPS accuracy (±30m)

  17. Disadvantages GPS • GPS not always reliable: - “Multipath”

  18. Disadvantages GPS • GPS accuracy: - Sattelites geometry

  19. Disadvantages GPS • GPS accuracy: - Time spent on measurement - Start location - End location

  20. Disadvantages GPS • Autonomy:

  21. GUI Household Survey GUI AB Survey GPSLogger GIS Module Data Integrity Checks Trip Identification Communication Module Activity Diary& Household Data GPSData Functional description of a new data collection tool

  22. GUI Household Survey GUI AB Survey GPSLogger GIS Module Data Integrity Checks Trip Identification Communication Module Activity Diary& Household Data GPSData Functional description of a new data collection tool

  23. Functional description of a new data collection tool

  24. Functional description of a new data collection tool

  25. Functional description of a new data collection tool

  26. Functional description of a new data collection tool

  27. Functional description of a new data collection tool Activity attributes: - Which type of activity ? - When ? - For how long ? - Conducted where ? - With whom ?

  28. Functional description of a new data collection tool

  29. Conclusion • Different approaches and technology for AB data collection • Data collection tool for a GPS enabled PDA

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