以潛在類別模式模化計程收費下高速公路駕駛人之運具及路線選擇移轉行為

Translated title of the contribution: Modeling Freeway Driver Behavioral Changes in Mode and Route Choices under Distance-based Toll Scheme: A Latent Class Approach

游 思遠(Sih-Yuan Yu), 邱 裕鈞(Yu-Chiun Chiou), 周 榮昌(Rong-Chang Jou), 傅 強(Chiang Fu)

Research output: Contribution to journalArticlepeer-review

Abstract

This study aims to develop the mode and route choice model of freeway drivers to investigate the potential impacts of various distance-toll schemes with and without daily credit of free-mileage. To acknowledge the heterogeneity in the preferences of freeway drivers, the latent class models (LCM) are developed based on the stated-preference designed questionnaire surveys on drivers in Taipei, Taichung and Kaohsiung metropolitans. The estimation results show that trip length, residential area, and driver age are three key segmentation variables that classify freeway drivers into three groups: 1) Ordinary freeway drivers; 2) High income drivers with short-range trips; and 3) Low-income drivers with long-range trips. Scenario analyses on various toll rates and various daily credits of free mileage are conducted and compared.
Translated title of the contributionModeling Freeway Driver Behavioral Changes in Mode and Route Choices under Distance-based Toll Scheme: A Latent Class Approach
Original languageChinese (Traditional)
Pages (from-to)1-33
Number of pages33
Journal運輸學刊 = Journal of the Chinese Institute of Transportation
Volume28
Issue number1
DOIs
Publication statusPublished - 2016

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