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A cloud-based framework for smart permit system for buildings
Proceedings of the IEEE 2nd Intl. Smart Cities Conference (2016)
  • Magdalini Eirinaki, San Jose State University
  • Subhankar Dhar, San Jose State University
  • Shishir Mathur, San Jose State University
In this paper we propose a novel cloud-based platform for building permit system that is efficient, user-friendly, transparent, and has quick turn-around time for homeowners. Compared to the existing permit systems, the proposed smart city permit framework provides a pre-permitting decision workflow, and incorporates a data analytics and mining module that enables the continuous improvement of a) the end user experience, by analyzing explicit and implicit user feedback, and b) the permitting and urban planning process, allowing a gleaning of key insights for real estate development and city planning purposes, by analyzing how users interact with the system depending on location, time, and type of request. The novelty of the proposed framework lies in the integration of the pre-permit processing front-end with permit processing and data analytics & mining modules, along with utilization of techniques for extracting knowledge from the data generated through the use of the system.
  • smart city,
  • building permit,
  • data analytics,
  • data mining,
  • urban planning,
  • cloud computing
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Citation Information
Magdalini Eirinaki, Subhankar Dhar and Shishir Mathur. "A cloud-based framework for smart permit system for buildings" Proceedings of the IEEE 2nd Intl. Smart Cities Conference (2016)
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