A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit <a rel="external noopener" href="https://works.bepress.com/magdalini_eirinaki/41/download/">the original URL</a>. The file type is <code>application/pdf</code>.
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gwjgigi4q5bw5fvt45bxbchcoq" style="color: black;">2016 IEEE International Smart Cities Conference (ISC2)</a>
In this paper we propose a novel cloud-based platform for building permit system that is efficient, userfriendly, transparent, and has quick turn-around time for homeowners. Compared to the existing permit systems, the proposed smart city permit framework provides a prepermitting 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<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/isc2.2016.7580821">doi:10.1109/isc2.2016.7580821</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/isc2/EirinakiDM16.html">dblp:conf/isc2/EirinakiDM16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/odmxz55z6vdbzgm2ajxcno4tqu">fatcat:odmxz55z6vdbzgm2ajxcno4tqu</a> </span>
more »... rban 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.
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