Trip purpose information plays a significant role in transportation systems. Existing trip purpose information is traditionally collected through human observation. This manual process requires many personnel and a large amount of resources. Because of this high cost, automated trip purpose estimation is more attractive from a data-driven perspective, as it could improve the efficiency of processes and save time. Therefore, a hybrid-data approach using taxi operations data and point-of-interest (POI) data to estimate trip purposes was developed in this research. POI data, an emerging data source, was incorporated because it provides a wealth of additional information for trip purpose estimation. POI data, an open dataset, has the added benefit of being readily accessible from online platforms. Several techniques were developed and compared to incorporate this POI data into the hybrid-data approach to achieve a high level of accuracy. To evaluate the performance of the approach, data from Chengdu, China, were used. The results show that the incorporation of POI information increases the average accuracy of trip purpose estimation by 28% compared with trip purpose estimation not using the POI data. These results indicate that the additional trip attributes provided by POI data can increase the accuracy of trip purpose estimation.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hybrid-Data Approach for Estimating Trip Purposes


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Luo, Xiaoling (Autor:in) / Cottam, Adrian (Autor:in) / Wu, Yao-Jan (Autor:in) / Jiang, Yangsheng (Autor:in)


    Erscheinungsdatum :

    07.07.2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Trip Purposes Mining From Mobile Signaling Data

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


    Walking Behaviors by Trip Purposes

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


    Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps

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


    Estimating independent and simultaneous trip frequency models for all travel purposes with combined Logit/Poisson

    Larsen, O. I. / Association for European Transport | British Library Conference Proceedings | 2003


    Imputing trip purposes for long-distance travel

    Lu, Yijing / Zhang, Lei | Online Contents | 2015