MULTI-DAY AND MULTI-PERIOD DATA. IN: TRANSPORT SURVEY QUALITY AND INNOVATION

This chapter reviews the reasons for moving from standard, one day, trip based surveys to multi-day and multi-period data. The basic reason given is the need to develop the temporal dimension in data. The periodicity of events is seen to help define an appropriate time unit for the measurement of changes. In the case of multi-day data, a six weeks travel diary and a survey based on the frequency of trips are presented and compared with trip-based approach. The advantages of sampling on several occasions and its consequences for producing an optimized calculation of time series values is shown for multi-period data. Also considered is the possibility of building a new method for data collection that allows both continuous data collection and longitudinal measurement of changes in behavior between time periods.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0080441998
• Corporate Authors:

  Elsevier

  The Boulevard, Langford Lane
  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Madre, J L
• Publication Date: 2003

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 253-269
• Serial:
  • Publication of: Elsevier
  • Publisher: Elsevier

Subject/Index Terms

• TRT Terms: Activity choices; Data collection; Sampling; Surveying methods and processes; Time dependence; Time series; Travel behavior; Travel surveys; Trip generation
• Subject Areas: Highways; Planning and Forecasting;

Filing Info

• Accession Number: 00961521
• Record Type: Publication
• ISBN: 0080441998
• Files: TRIS
• Created Date: Aug 11 2003 12:00AM