Shalini Sinha
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Shalini Sinha

Professor
Programs
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About Shalini Sinha

Shalini is an urban and transport planner having more than 25 years of experience in the transport sector in India and UK. She is Professor and Dean of Faculty of Planning, CEPT University and also the Head of the Center of Excellence in Urban Transport at the CEPT Research and Development Foundation.
Shalini completed her Masters in Transport Planning and Engineering from ITS, University of Leeds, UK and PhD in Transport Planning from CEPT University. She has worked extensively in strategic transport planning, transport system analysis and modelling and public transport projects including bus and BRT system planning, operations and monitoring in Indian cities. More recently, she has been involved in research projects dealing with commuter behaviour and choices and the emerging areas of electric mobility and data analytics applications in transport system operations planning and performance assessments.
  • Transport policy and strategic transport planning
  • Public transport planning and operations
  • Transport system analysis and modelling

Conference Proceedings

  1. A study on the factors affecting the adoption of electric buses among the non-Public Transit users in Ahmedabad, India WCTR Transportation Research Procedia
  1. A study on the factors affecting the adoption of of electric buses among the non-Public Transit users in Ahmedabad, India World Conference on Transportation Research
  2. Strategy for electrification of city bus network Urban Transport Journal

Book Chapter

  1. Impact of Parking Pricing and regulations on user behaviour Urban Mobility Research in India
  2. Smart data for monitoring city bus services Urban Mobility Research in India

Conference

  1. A study on the factors affecting the adoption of electric buses among the non-Public Transit users in Ahmedabad, India World Conference on Transport Research
  2. Demand forecasting for rapid transit feasibility in Indian cities — Challenges and opportunities Unleashing the Power of Data: Advancing Metro Traffic Demand Forecasting