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Collecting activity-travel diary data : state of the art and a hand-held
computer-assisted solution
Bruno Kochan, Tom Bellemans, Davy Janssens, Geert WetsTransportation Research Institute (IMOB)
Hasselt UniversityBelgium
Universiteit Hasselt, Campus Diepenbeek, Wetenschapspark 5 bus 6, BE-3590 Diepenbeek, Belgium
• Introduction to Activity Based (AB) data• Data collection• Functional description of a new data collection tool• Conclusion
Outline
• 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
Introduction
• Solution: Activity-Based (AB) transportation models
• AB models predict interdependencies between several facets of activities
• Facets:
Introduction
- Which type of activity ?
- When ?
- For how long ?
- Conducted where ?
- Which transport mode ?
- With whom ?
• 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:
- Take time to fill out
- A lot of activity facets
Data Collection
Activity Based transportation models:
Heavy demands on data collection system
Data Collection
Paper-and-pencil
+
Con:- Prone to errors
- Complex
Pro:-Filled out any time and place
- Consistency
- Tedious
Data Collection
Computer aided self interview of activity-travel scheduling behaviour:
- CHASE (Doherty, 1997)
- VIRGIL (UHasselt, 2004)
Pro:
- Data quality
- User guidance
Con:- Filled out at specific time- Filled out at specific place- Portability
Data quality:
- Activity: e.g. Begin time before end time
- Activity and Journey: “Location continuity”
- Activity and Journey: No time gaps
- Journey: e.g. Duration journey must equal sum trip durations
Data Quality
Data Quality
Activity 1
Location A
Activity 2
Location B
Journey 1
Start Location A Start Location B
Data Quality
Activity 1
Location A
Activity 2
Location B
Journey 1
Start Location A Start Location B
Data Quality
Activity 1
Location A
Activity 2
Location B
Journey 1
Start Location A End Location C
!
Data Collection
Computer-aided self interview of activity-travel scheduling behaviour:
- CHASE (Doherty, 1997)
- VIRGIL (UHasselt, 2004)
Pro:
- Data quality
- User guidance
Con:- Filled out at specific time- Filled out at specific place- Portability
Data Collection
Internet-based self interview of activity-travel scheduling behaviour:
- iCHASE (Doherty, 1999)
- REACT (McNally, 1999- 2001)Pro:
- Filled out at different times
- Filled out at different places (e.g. work, home)
- Portability
Personal Digital Assistant (PDA)
Data Collection
- EX-ACT (Rindsfüser, 2003)
Pro:
- Filled out at any time
- Filled out at any place (e.g. work, home, bus)
Con:
- Battery autonomy
GPS-enabled Personal Digital Assistant (PDA)
Data Collection
- Doherty, 2001
Pro: - Respondent may forget to report journey
- Data can be used for checking consistency
- Enables capturing route information
Con:- GPS not always reliable - GPS accuracy (±30m)
- IMOB, 2005
GPSLogger
GUI AB Survey
GISModule
Data Integrity Checks
Trip Identification
Communication Module
GPSData
Activity Diary& Household Data
GUI Household Survey
Functional description of a new data collection tool
GPSLogger
GUI AB Survey
GISModule
Data Integrity Checks
Trip Identification
Communication Module
GPSData
Activity Diary& Household Data
GUI Household Survey
Functional description of a new data collection tool
- Which type of activity ? - When ?
- For how long ?
- Conducted where ?
- With whom ?
Activity attributes:
Functional description of a new data collection tool