Gupta, S.; Sinha, K. Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India. Sustainability2022, 14, 13768.
Gupta, S.; Sinha, K. Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India. Sustainability 2022, 14, 13768.
Gupta, S.; Sinha, K. Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India. Sustainability2022, 14, 13768.
Gupta, S.; Sinha, K. Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India. Sustainability 2022, 14, 13768.
Abstract
Smartphone-based mobility apps enable users to make informed transportation decisions, offering instant access to transport-related information. This development has created a smartphone-enabled ecosystem of mobility services in developed countries while it is slowly picking up pace in the global south, which can contribute towards the decarbonization of urban transport. Work on this has already started in India, and there is considerable evidence indicating the profound impact of these apps on the perceived utility and usage of transport modes, with far-reaching implications for sustainable development goals (SDGs). However, for most users, the use of smartphone apps is a novel trend, and the knowledge of the impacts of usage of existing apps on the usage pattern of transport modes by various user groups is essential for positioning new consolidated app-based services soon. Against this backdrop, the present study uses latent class cluster analysis to empirically investigate the impacts of mobility apps on transport mode usage patterns in Delhi by classifying users into latent classes based on socioeconomic characteristics, attitudes/preferences, smartphone app usage, and mode usage pattern. The characteristics of the latent class and factors affecting the individual’s probability of being classified to these cluster have been discussed, along with some measures to encourage app-based mobility for each cluster.
Keywords
Smartphone; App Usage; Transport Mode Usage; Latent Class Cluster Analysis; Multimodality; Environment
Subject
Computer Science and Mathematics, Software
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
