This paper aims to estimate segments of latent variables associated with mode choice. The estimates of latent segmentation is obtained through Structural Equation Modelling (SEM) approach. The model is used to identify segments of homogeneous latent variables for attitude towards choice of feeder modes. The Scholars from different nations have contributed greatly in identifying conventional factors affecting the mode choice behavior. Apparently, very few studies have focused on analyzing latent variables affecting the choice of a mode. Specifically, feeder modes, which are likely to increase the mode shift to the public transport mode through improved door- bus stop connectivity. Thus, this study was carried out with an aim to identify the effect of latent variables on the mode choice behavior of the riders for proposed feeder modes. The proposed modes are Environment-Friendly for added benefits of pollution control. The selected study area is the city of Vadodara, in Gujarat state of India. For this, 41 latent variables were identified from the literature review. Data was collected through a predetermined and framed questionnaire. The latent variables with their indicators were checked by preliminary Confirmatory Factor Analysis (CFA), using SPSS software. Six hypotheses were framed to determine the interrelationship between the latent variables through Structural Equation Modelling (SEM) using the Analysis of Moment Structures (AMOS) software. Based on the outliers, communalities extraction and, correlation criteria, the indicators were reduced to 26. The results of the segmental analysis model reveal that the four framed latent variables positively affect the mode choice behavior of a rider. Hence, inculcating these latent variables while proposing an Environment-Friendly feeder mode may result in increased mode choice. Which can be predicted through choice models as a future scope.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Structural equation modelling for segmentation analysis of latent variables responsible for environment-friendly feeder mode choice


    Beteiligte:
    Bharvi A. Shah (Autor:in) / L.B. Zala (Autor:in) / Nipa A. Desai (Autor:in)


    Erscheinungsdatum :

    2023




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    The Increasing Role of Latent Variables in Modelling Bicycle Mode Choice

    Muñoz, Begoña / Monzon, Andres / Daziano, Ricardo A. | Taylor & Francis Verlag | 2016



    Representing heterogeneity in structural relationships among multiple choice variables using a latent segmentation approach

    Astroza, Sebastian / Garikapati, Venu M. / Pendyala, Ram M. et al. | Online Contents | 2018


    Representing heterogeneity in structural relationships among multiple choice variables using a latent segmentation approach

    Astroza, Sebastian / Garikapati, Venu M. / Pendyala, Ram M. et al. | Online Contents | 2018


    Latent variables and route choice behavior

    Prato, Carlo Giacomo / Bekhor, Shlomo / Pronello, Cristina | Online Contents | 2011