DISIT Lab of University of Florence | DISIT Lab of University of Florence

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DISIT Lab of University of Florence | DISIT Lab of University of Florence

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Title Project RESOLUTE: MULTI SOURCE DATA ACQUISITION

Subject smart city, resilience

Description This deliverable presents an analysis of the dataset kinds, and the early identification, assessment and selection of actual datasets that can be used for RESOLUTE pilots. The dataset collection has been carried out according to a specific strategy for reducing the amount of those that are useless. In particular, the activities have benefitted of the work carried out in the WP5 Task 5.1 on user requirements. In fact, a preliminary mapping of the datasets identified to the type of decisions that operators would improve in their daily activities has been provided. The identification and selection results are detailed in the Annex A for Florence Pilot, and Annex B for Athens Pilot. The methodology to ingest heterogeneous datasets in the Data Layer is also presented. Moreover, in order to address the information needs of the operators, several new datasets have been created. In particular, the Flooding susceptibility areas and the wifi data about people flow, and the triage status for Florence city, a generic city weather database for Florence and Athens and a twitter-based dataset for supporting Evacuation DSS operators for Florence. A summary of the lesson learnt during the data selection and collection has been providing in the conclusions.

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Submitted by root on Tues, 2017-05-09 21:01

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