NEW USES FOR OLD TRAVEL DATA

The basic requirement for good planning is reliable information. As planning emphasizes change, previous information is often discarded. In the case of travel data this abandonment is premature. This paper demonstrates that existing travel data are still extremely valuable for at least three distinguishable, and increasingly important, planning tasks. First, for the prediction of how individuals will react to specific policies, such as rising fuel prices or lower public transport fares, i.e. For travel demand modelling using individual choice models. It is shown that these models can be satisfactorily estimated using home interview survey data. The technique can be improved by market segmentation based on socio-economic characteristics or on the data itself, by using the travel section to partition the travellers into sets who really have a travel choice. Second, for the analysis of the existing urban public transport systems' performance, i.e. Who is using public transport, when and for what purposes. Third, for the analysis of individual's activity patterns and how these vary with the socio-economic and demographic characteristics of the individual (A). (TRRL)

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• Availability:
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• Corporate Authors:

  ARRB

  Melbourne, Victoria  Australia 
• Authors:
  • DUMBLE, P L
• Publication Date: 1979-9

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 30-38
• Serial:
  • Australian Road Research
  • Volume: 9
  • Issue Number: 3
  • Publisher: ARRB
  • ISSN: 0005-0164

Subject/Index Terms

• TRT Terms: Costs; Data collection; Demand; Demographics; Fares; Forecasting; Fuels; Granular bases; Interviewing; Jobs; Mathematical models; Modal split; Performance; Public transit; Socioeconomic factors; Surveys; Traffic surveys; Transportation; Transportation modes; Transportation planning; Transportation policy; Travel demand; Travel time; Trip length; Urban transportation; Weekdays
• Uncontrolled Terms: Models
• Geographic Terms: Australia
• ITRD Terms: 8006: Australia; 285: Demand (econ); 132: Forecast; 9147: Interview; 697: Journey time; 675: Modal split; 2271: Occupation; 676: Traffic survey; 1155: Transport; 1145: Transport mode; 9140: Weekday
• Subject Areas: Economics; Energy; Planning and Forecasting; Society; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00310130
• Record Type: Publication
• Source Agency: ARRB
• Files: ITRD, TRIS, ATRI
• Created Date: Jul 22 1981 12:00AM