The theory and practice of transport planning have developed rapidly over the past 35 years since the advent of significant computing capabilities in the early 1950s. Prior to this, transport planning was seen as a subset of town planning and was performed using predominantly qualitative and codified methods. With the advent of computers, however, it was realised that it was possible to process significant amounts of data, thus enabling quantitatively oriented planners to analyse traffic movement patterns in a more systematic manner. The mathematical modelling of the transport system thus became an important feature of transport planning. The analytical techniques used in transport planning have passed through four distinct eras in the past twenty years, namely: (a) early 70s - disaggregate models of demand, (b) late 70s - behavioural models of choice, (c) early 80s - activity models and survey methodology, and (d) late 80s - the microcomputer revolution. This paper seeks to chronicle the major events in modelling techniques used to support transport planning activities over this period. In doing so, it concentrates on those modelling techniques used to describe, explain, and predict demand for personal travel. While many of the studies quoted are Australian (and specifically, Monash University) studies, the international nature of travel demand modelling efforts over the past 20 years prohibits a narrow, parochial approach. Specifically, reference must be made to research conducted in England, the USA, Holland, Germany, France, South America, and elsewhere (A).


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  • Accession Number: 00606255
  • Record Type: Publication
  • Source Agency: Transport and Road Research Laboratory (TRRL)
  • Files: ITRD, TRIS, ATRI
  • Created Date: Mar 31 1991 12:00AM