01155400

Component

https://doi.org/10.3141/2175-14

http://scholar.google.com...nder&publication_year=2010

Traditional techniques for estimating travel demand models cannot always identify a model if the quality of the input data is poor. These techniques do not allow modelers to easily predefine types of travel behaviors that they or their clients believe cannot be true. Models estimated with the best academic practice also may occasionally fail important validation tests. These factors often lead practitioners to determine model parameters through an inefficient trial-and-error process. A multiobjective model estimation procedure is presented that overrules solutions that cannot meet either statistical or political criteria. This procedure is not intended to criticize the traditional modeling approach, but it illustrates that a more pragmatic approach is available and works efficiently. This conclusion is illustrated in the estimation of a demand model for Dublin, Ireland.

01324695

10-0905

English

pp 120-129

2010

Transportation Research Record: Journal of the Transportation Research Board

9780309160513

Print

Figures (6) ; Maps (1) ; References (5)

Data quality; Travel behavior; Travel demand

Multiobjective models

Dublin (Ireland)

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 25 2010 10:25AM

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• Review of Evidence for Temporal Transferability of Mode–Destination Models
• Supernetwork Approach for Multimodal and Multiactivity Travel Planning
• Travel Time Forecasting and Dynamic Origin–Destination Estimation for Freeways Based on Bluetooth Traffic Monitoring
• Validation and Forecasts in Models Estimated from Multiday Travel Survey