To generate knowledge in the area of app-based taxi travel, the present study examines the user profile, travel patterns, and alternative mode preferences of app-based taxi riders in the city of New Delhi, India. Information related to sociodemographic characteristics, trip and mode share characteristics, attitudes, and perceptions of app-based taxi riders were gathered using primary data collected through an intercept survey. A mixed multinomial logit model (MMNL) is used to model the preference of alternative modes for a past trip if an app-based taxi was unavailable. It was found in the study that older people are less likely to use the metro or personal car in the absence of an app-based taxi. Further, males tend to choose auto-rickshaws and public buses as compared to females. Individuals, who value reliability, safety, and punctuality of a mode, are most likely to choose a personal car followed by a public bus and auto-rickshaw.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Understanding the Preferences and Attitudes of App-Based Taxi Users Toward Existing Modes


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:


    Publication date :

    2022-05-14


    Size :

    19 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Ridesourcing vs. traditional taxi services: Understanding users’ choices and preferences in Spain

    Aguilera-García, Álvaro / Gomez, Juan / Velázquez, Guillermo et al. | Elsevier | 2021



    Understanding Taxi Service Strategies From Taxi GPS Traces

    Zhang, Daqing / Sun, Lin / Li, Bin et al. | IEEE | 2015


    Taxi ‘sugar daddies’ and taxi queens: Male taxi driver attitudes regarding transactional relationships in the Western Cape, South Africa

    Potgieter, Cheryl / Strebel, Anna / Shefer, Tamara et al. | Taylor & Francis Verlag | 2012

    Free access