Title: Activity-based Urban Passenger Travel Demand Hierarchy Selection Model
Abstract: Based on the data from traditional household travel survey(HTS) of Mianyang City of Sichuan Province in China in 2010,the approach and process for extracting activity-based data from traditional HTS are discussed.A hierarchy selection model system,which consists of mode/destination choice model,time choice model and daily activity pattern choice model,is proposed.Finally,the activity-based traffic demand forecasting is achieved by the complete activity-based analysis approach proposed with detailed explanation of data processing,model structure,variable selection,and model calibration process.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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