The Establishment of Household Activity Participation and Membership Assignment Models – A Case Study of Taipei Metropolitan Activity-Based Travel Demand Model

博士 === 中原大學 === 土木工程研究所 === 99 === Taipei Rapid Transit Systems Demand Model (TRTS model) has been established for about 30 years and developed for the 4th generation. However, TRTS model is still based on the conventional method - trip-based model. Trip is derived demand from activity participati...

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Bibliographic Details
Main Authors: Shih-Hsien Yang, 楊士賢
Other Authors: Yu-Chun Liao
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/77119795114095930822
Description
Summary:博士 === 中原大學 === 土木工程研究所 === 99 === Taipei Rapid Transit Systems Demand Model (TRTS model) has been established for about 30 years and developed for the 4th generation. However, TRTS model is still based on the conventional method - trip-based model. Trip is derived demand from activity participation; therefore, trip-based model is theoretically incomplete. On the contrary, the activity-based travel demand model has been developed and applied in some U.S. metropolitan areas in planning practice with great and reasonable modeling effect. The Department of Rapid Transit Systems (DORTS) of Taipei City Government upgraded the latest TRTS-IV in 2009, which collected 9,000 household travel surveys in Taipei Metropolitan area. The characteristics of local travel behavior could be characterized from the large and stable survey data, which is helpful to establish related models as well. We conceptualized the probable framework of activity-based travel demand model with firstly focusing on the household activity participation and membership assignment models. By applying hierarchical linear model for the former and logit model for the latter, the hierarchical framework of exogenous variables was specified; therefore, variables needed to be separated with different levels to reflect context effect. Furthermore, the sequence of membership assignment was identified based on local travel behavior following hierarchical model. By the context effect and the local travel behavior, the parameters of models were verified and the estimation effect was shown better than conventional models.