THREE-DIMENSIONAL CATEGORY ANALYSIS USING PROBABILISTIC APPROACH

Travel demand analysis is conducted at household and individual levels to reflect the travel behavior of various socioeconomic groups in urban and suburban areas. Category analysis is a technique to find the average response of trips made by a particular category of analysis unit. In conventional analysis, household trip rates are calculated by cross-classifying the causal household socioeconomic characteristics that influence trip generation in a two-dimensional plane. This paper offers a modified approach that extends this analysis by considering an individual's travel attribute characteristics, making analysis three-dimensional. The anomalies pertaining to sparse or no data due to stratification of household socioeconomic variables and travel attributes, such as trip length, have been considered as well. A probabilistic approach to model formulation is attempted and calibration and validation of the model are pursued.

Language

  • English

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Filing Info

  • Accession Number: 00712768
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 26 1995 12:00AM