Trip generation models are typically calibrated using zone-based aggregated data, despite some theoretical drawbacks pertaining to the use of aggregated data. This study demonstrates that models calibrated with disaggregated data not only have a better theoretical basis, but also forecast more accurate trip productions. In particular, optional trip purposes are focused on the calibration of trip production models, of which trips tend to be irregularly generated, rendering it difficult to build more reliable models. There are three models calibrated: an aggregate model with zone-level data, a disaggregate model with household-level data, and with household and person-level data using household survey data for two years. The prediction accuracy and stability of the models are compared and verified using statistical methods. It is discovered that calibrating a trip production model using household and person-level data jointly yields a better calibration method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Calibration and validation of person-based trip production models of optional trip purposes


    Contributors:
    Kim, Jihye (author) / Kim, Ikki (author) / Shim, Jaeyeob (author)

    Published in:

    Publication date :

    2021-07-04


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Household and person trip generation models

    Downes, J. D. / Johnsen, S. / Morrell, David | TIBKAT | 1978


    Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps

    Liu, Yicong / Miller, Eric J. / Habib, Khandker Nurul | ASCE | 2023


    Walking Behaviors by Trip Purposes

    Hatamzadeh, Yaser / Habibian, Meeghat / Khodaii, Ali | Transportation Research Record | 2014


    Hybrid-Data Approach for Estimating Trip Purposes

    Luo, Xiaoling / Cottam, Adrian / Wu, Yao-Jan et al. | Transportation Research Record | 2021


    Trip Purposes Mining From Mobile Signaling Data

    Li, Zhishuai / Xiong, Gang / Wei, Zebing et al. | IEEE | 2022