Smart Cities:Overcoming the Responsibility Gap

This research has successfully demonstrated the feasibility of an IoT-system meant for civic transparency and institutional accountability. The prototype addresses the critical information gap that generally exists between citizens and local authorities. Summary of Main Findings Through the implementation of various strategies like the triple-filter strategy that was used to filter real incidents from noise, we were able to filter with almost 85% filtering accuracy across the 100 incidents that were recorded in a 72 hour time period. Furthermore, it is also possible to measure the service levels like average response time. Contribution to the Field Unlike existing industrial systems that operate on data hidden from the public, our system aligns with “Sustainable Development Goal 16 (Target 16.6)” by making safety data a public right. IThe primary contribution of this research is the shift to an accountable IoT. It allows citizens to verify institutional performance, building trust in the authorities and city infrastructure. Future Directions Future research will focus on two key areas for system development: Predictive Analysis This development will allow the system to not only detect but also predict potential infrastructure failure by analyzing the patterns in vibrations. This will be done by using machine learning models.

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