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100 _aGupta, Sanjay and Sinha, Kushagra
_951967
245 _aMobility app usage and transportation preferences: A latent class cluster analysis of smartphone users of Bhopal, India
260 _aNagarlok: Quarterly Journal of Urban Affairs
300 _a55(3), Jul-Sep, 2023: p.65-82
520 _aWith the rapid rise of information and communication technology (ICT), various smartphone-based transportation platforms in the form of apps have emerged, with the potential to totally revolutionise mobility through more advanced multimodal platforms like, for example, Mobility as a Service. However, in order to incorporate these new mobility services in a systematic manner, it is essential to investigate the characteristics of current smartphone users as well as their transportation preferences. Against this background, this research paper utilised latent class cluster analysis to empirically investigate the characteristics of current smartphone users in the city of Bhopal and their transport usage patterns by categorising them into three latent clusters based on a comprehensive set of variables like socio-economic characteristics, smartphone app usage, transportation usage, and attitudes and preferences. Cluster 1 consists of users with low app usage and higher usage of public transport and intermediate public transport; Cluster 2 consists of multimodal users with high app usage; and Cluster 3 consists of users with moderate app usage and heavy reliance on private vehicles.- Reproduced https://www.printspublications.com/journal/nagarlok--quarterly-journal-of-urban-affairs
773 _aNagarlok: Quarterly Journal of Urban Affairs
906 _aURBAN TRANSPORT
942 _cAR