AbstractThe study investigates the latent heterogeneity in travel behaviour among urban travellers, including ride-hailing service (RHS) users and non-users, by incorporating attitudes so as to reinforce conventional user-segmentation approaches. Simultaneously, prioritisation of ride-hailing specific attributes was carried out to assess how RHS will operate in a sustainable way. The study initially examines latent heterogeneity in travellers through a Latent Class Cluster Analysis (LCCA) model. Subsequently, it prioritises key RHS-specific attributes for each cluster using three established Multi Criteria Decision Making (MCDM) techniques. Three clusters were identified based on individuals’ attitudes and covariates (socio-demographics, travel habits, and built environment attributes). The largest cluster is the Tech-savvy ride-hailing-ready individuals (48%) with higher technological literacy, showing maximum acceptance towards ride-hailing. The second largest cluster comprises the Traditional active-mobility individuals (28%) who display the least proclivity towards RHS, probably due to their technological inhibition coupled with greater attachment to traditional travel alternatives. Lastly, the PV-loving multimodal individuals (24%) are primarily vehicle owners but prefer RHS for occasional trips. The final ranking obtained from the analysis has revealed that travel time, reliability, and flexibility are the motivators, while travel cost and waiting time are the deterrents, as perceived by the users, that influence RHS in the Indian context.


    Access

    Download


    Export, share and cite



    Title :

    Analysing heterogeneity in factors affecting adoption of ride-hailing services: a stepwise LCCA-MCDM modelling approach


    Additional title:

    Transportation


    Contributors:

    Published in:

    Publication date :

    2024-12-07




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    RIDE-HAILING SYSTEM AND RIDE-HAILING METHOD

    KAMATA NOBUHIDE / UEHARA YASUO / TANIMORI SHUNSUKE et al. | European Patent Office | 2020

    Free access

    VEHICLE CONFIGURED FOR RIDE HAILING SERVICES

    OFFER JEREMY / DAVIES MICHAEL | European Patent Office | 2022

    Free access

    Traditional taxi, e-hailing or ride-hailing? A GSEM approach to exploring service adoption patterns

    Vega-Gonzalo, Maria / Aguilera-García, Álvaro / Gomez, Juan et al. | Springer Verlag | 2024


    RIDE-HAILING SYSTEM, RIDE-HAILING METHOD, AND COMPUTER PROGRAM

    SAKAMOTO AKIRA | European Patent Office | 2024

    Free access

    RIDE-HAILING SERVICE MANAGEMENT DEVICE, RIDE-HAILING SERVICE MANAGEMENT METHOD, AND RIDE-HAILING SERVICE MANAGEMENT SYSTEM

    KUROSAWA TAKAYOSHI / WAKIMIZU MAKOTO / ADACHI HIROSHI et al. | European Patent Office | 2023

    Free access