A Provenance Framework for Policy Analytics in Smart Cities
Barkha Javed, Richard McClatchey, Zaheer Khan, and Jetendr Shamdasani

TL;DR
This paper proposes a provenance framework to track and analyze the entire policy-making process in smart cities, enhancing transparency and verifiability for better urban policy management.
Contribution
It introduces a comprehensive provenance tracking system for urban policy processes, addressing the lack of complete cycle monitoring in smart city environments.
Findings
Framework enables full cycle tracking of policy making
Supports improved transparency and decision verification
Facilitates policy analytics in IoT-enabled smart cities
Abstract
Sustainable urban environments based on Internet of Things (IoT) technologies require appropriate policy management. However, such policies are established as a result of underlying, potentially complex and long-term policy making processes. Consequently, better policies require improved and verifiable planning processes. In order to assess and evaluate the planning process, transparency of the system is pivotal which can be achieved by tracking the provenance of policy making process. However, at present no system is available that can track the complete cycle of urban planning and decision making. We propose to capture the complete process of policy making and to investigate the role of IoT provenance to support design-making for policy analytics and implementation. The environment in which this research will be demonstrated is that of Smart Cities whose requirements will drive the…
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