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Predictive analysis of the occurrence of emergency events in the province of Azuay

  • Solano Quinde, Lizandro Damian (Director)
  • Zuñiga Prieto, Miguel Angel (Co-Director)
  • Tello Guerrero, Marco Andres (Researcher)
  • Robles Granda, Pablo Dario (Assimilated Technical Staff)

Project: Research

Project Details

Description

At present, the allocation of resources for emergency response, by the responsible institutions, is carried out as they are reported ;; Without a projection in the allocation of resources that allows, either, to reduce response times through the anticipated allocation of resources to areas with a greater probability of occurrence of incidents, or adopt policies that decrease such probability. The prediction of events and incidents, through mathematical models and data mining techniques, enables a better administration of the resources assigned to attending local emergencies. Despite its importance, studies that allow the prediction of events and incidents are incipient in the country. This project proposes to investigate and/or develop specialized mathematical methods and models for the prediction of emergency events, which will be implemented in a software tool, which integrates high performance computing techniques. The prediction of events or incidents can be achieved only through the analysis, application and validation of models to a real emergency database. In this context, this project will be carried out in conjunction with Coordination personnel of Zone 6 of ECU 911, who in addition to providing the database, will participate in the development and validation of mathematical models.

Call for Applications

15th UNIVERSITY RESEARCH COMPETITION
Short titlePREDICTIVE ANALYSIS EVENTS EMERGENCY
StatusFinished
Effective start/end date1/06/1731/05/19

Keywords

  • Prediction
  • Emergencies
  • Dataming
  • 911

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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Temporal Analysis of 911 Emergency Calls Through Time Series Modeling

    Robles, P., Tello, A., Solano-Quinde, L. & Zúñiga-Prieto, M., 2020, Advances in Emerging Trends and Technologies Volume 1. Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A. & Montiel Díaz, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 136-145 10 p. (Advances in Intelligent Systems and Computing; vol. 1066).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Modeling 911 emergency events in cuenca-ecuador using geo-spatial data

    Robles, P., Tello, A., Zúñiga-Prieto, M. & Solano-Quinde, L., 2019, Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Botto-Tobar, M., D’Armas, M., Zúñiga Sánchez, M., Zúñiga-Prieto, M. & Pizarro, G. (eds.). Springer Verlag, p. 564-577 14 p. (Communications in Computer and Information Science; vol. 895).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Scopus citations