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.
Understanding the Preferences and Attitudes of App-Based Taxi Users Toward Existing Modes
Lecture Notes in Civil Engineering
Proceedings of the Fifth International Conference of Transportation Research Group of India ; Chapter : 9 ; 135-153
2022-05-14
19 pages
Article/Chapter (Book)
Electronic Resource
English
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