Baysian Updating of Trip Generation Parameters

by Hani S. Mahmassani, Research Asst.; Mass. Inst. of Technology Cambridge, Mass. 02139,
Kumares C. Sinha, (M.ASCE), Prof. of Civ. Engrg.; Purdue Univ., West Lafayette, Ind. 47906,

Serial Information: Transportation Engineering Journal of ASCE, 1981, Vol. 107, Issue 5, Pg. 581-589

Document Type: Journal Paper


The use of borrowed models from similar urban areas is one way of reducing the costs associated with conducting full-scale travel surveys. However, in order to tune borrowed models to reflect the local conditions of the study area, these models can be updated using low-cost information (objective or subjective) from the study area. A method based on Bayesian statistics for updating cross-classified household trip generation rates is presented. Some updating techniques are briefly reviewed. Previous applications of Bayesian statistics in the transportation field are also discussed; a methodology for their use to update cross-classified trip rates is presented along with sample application.

Subject Headings: Parameters (statistics) | Bayesian analysis | Statistics | Travel modes | Scale models | Urban areas | Benefit cost ratios | Geomatic surveys

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