Effective City Planning: A Data Driven Analysis of Infrastructure and Citizen Feedback in Bangalore
Srishti Mishra, Srinjoy Das

TL;DR
This paper presents a data-driven approach to city planning in Bangalore by analyzing civic data on spending, infrastructure, and citizen feedback to identify key issues and improve municipal performance.
Contribution
It introduces an integrated analysis framework combining infrastructure data and citizen complaints to enhance transparency and decision-making in urban planning.
Findings
Low greenery in constituencies with high populations.
Contradictory rankings and complaints for footpaths.
Street lighting issues correlate with citizen complaints.
Abstract
Leveraging civic data, divided into 3 categories spending, infrastructure and citizen feedback, can present a clear picture of the priorities, performance, and pain-points of a city. Data driven insights highlight the current issues faced by citizens as well as disparity between government spending and quality of work, and can aid in providing effective solutions. City infrastructure; footpaths, lighting, and parks, describe the living quality of citizens and can be compared to the annual spending in these sectors to track effectiveness. Analyzing complaints ensures citizen feedback is taken into account during both long-term planning and in short-term solutions to pinpoint critical areas of improvement. Integrating an analysis loop and data driven dashboards can help in improving performance of municipal corporations, while adding transparency between citizens and the city officials.…
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Taxonomy
TopicsHousing Market and Economics
