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Application of Disaggregate Travel Demand Models

机译:分解旅行需求模型的应用

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This report presents the results of a study to develop improved disaggregate models of urban travel demand. Policy-sensitive travel demand forecasting models are developed and calibrated in this study with data from individual travelers' choices, using data from three urban areas. The resulting models are evaluated and recommendations for their implementation are discussed. Several application scenarios are presented to illustrate how the models may be applied. An extensive analysis of the Independence of Irrelevant Alternatives property of the multinomial logit model is reported. Issues in model specification and calibration and the collection of data for disaggregate models are considered. The market segmentation technique for applying disaggregate models for aggregate forecasting is presented and other aggregation procedures are also discussed. The evidence on transferring disaggregate models from one geographic area to another is discussed and guidelines and procedures for successfully transferring models are presented.

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