Big Data driven transport planning and governing practices in the postcolonial ‘smart city’: a case study of Bangalore, India
Researchers: Lucy Baker, Tim Schwanen
Description of work
Through a co-productionist approach, this research will explore opportunities to enhance the capacity of transportation governing and planning practices for government institutions, urban planners and transport operators in India. This will contribute to a reflexive approach to the technological development of sustainable and equitable transport systems and an increased contextual understanding of how big data is likely to impact transport systems and users on the ground.
The study focuses on the city of Bangalore in which to trace the circulation of big data and its implications for transport planning and governing practices in India. It selects one city territory in order to enable a rich account of its socio-economic, political and transport planning histories and geographies, as well as its contemporary transition to a ‘smart city’.
Aims and research questions
The project will trace the application of big data in relation to the practice of governing and planning transport in postcolonial cities as a technical-rational approach, exploring the pathways through which big data and smart transport concepts emerge in Bangalore and how they encounter existing forms of governing, planning and operating transport systems. The research proposes the following questions:
1. Where and how is big data produced, circulated, analysed and utilised for transport planning and governing practices, and how do new forms of big data planning and governing processes interact with those already in existence?
2. Through what pathways are big data institutionalised for the governing and planning of transport in terms of knowledge, histories and mentalities, and what are the implications of smart governmentality for existing and contextual practices of governing and planning transport in the city?