Modelling the energy and environmental impacts of ride-hailing and ride-sharing services in India leveraging the passive data sources

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Ride-hailing and ride-sharing services, as primarily offered by Ola & Uber in India, have been on the rise. The research investigates the impact of such disruptive transport services on urban travel demand and resulting vehicular emissions. The study is a first of its kind, independent research, being conducted in India. The study’s relevance is from the point of view of managing a multimodal urban transport network and subsequently providing seamless access to its users.

  • Identifying factors affecting users’ choice of ride-hailing and ride-sharing transport services (e.g. Uber, Ola, Uber Pool, etc.) in India
  • Developing methodology to combine traditional and big data for calibration of demand models for ride-hailing and ride-sharing services
  • Predicting demand of ride-hailing and ride-sharing services in different planning and policy contexts
  • Quantifying energy and air-quality impacts of ride-hailing and ride-sharing services


  • Organised a workshop/special session on Ride-hailing and Ride-sharing at the 5th Annual Conference of the Transport Research Group of India, Bhopal which was attended by 50 faculty members, early career researchers and scholars from different Indian Universities as well as representatives of several government agencies.
  • Collected primary data and developed mathematical models to quantify how the socio-demographic characteristics of individuals affected the travel behaviour in the Covid-19 pandemic.
  • Initial findings presented at the UKEIRI Webinar on Smart Cities and Transport (29 June 2020)

Publications and outputs

Modelling the effects of Covid-19 on mode choice behaviour in India (under review)