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

Pablo Robles; Andrés Tello; Miguel Zúñiga-Prieto; Lizandro Solano-Quinde

doi:10.1007/978-3-030-05532-5_43

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

Pablo Robles
, Andrés Tello
, Miguel Zúñiga-Prieto
, Lizandro Solano-Quinde

Universidad de Cuenca

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We present several techniques for modeling emergency events using data from 911 emergency calls in the city of Cuenca-Ecuador. We apply three types of models. First, we use a probabilistic description of events using Gaussian kernels based on both, regular segmentation and mixture models, to represent the spatial distribution of occurrences. Second, we verify the qualitative relation of the clusters obtained with our kernel model with respect to the geo-political organization of the city. Finally, we develop an emergency model using a large dataset corresponding to the period January 1st 2015 through December 31st 2016 and test various data mining algorithms for prediction purposes. We verify the usefulness of our approach experimentally.

Original language	English
Title of host publication	Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers
Editors	Miguel Botto-Tobar, Mayra D’Armas, Miguel Zúñiga Sánchez, Miguel Zúñiga-Prieto, Guillermo Pizarro
Publisher	Springer Verlag
Pages	564-577
Number of pages	14
ISBN (Print)	9783030055318
DOIs	https://doi.org/10.1007/978-3-030-05532-5_43
State	Published - 2019
Event	4th International Conference on Technology Trends, CITT 2018 - Babahoyo, Ecuador Duration: 29 Aug 2018 → 31 Aug 2018

Publication series

Name	Communications in Computer and Information Science
Volume	895
ISSN (Print)	1865-0929

Conference

Conference	4th International Conference on Technology Trends, CITT 2018
Country/Territory	Ecuador
City	Babahoyo
Period	29/08/18 → 31/08/18

Keywords

911 calls
Emergency calls
GMM
Kernel models

Access to Document

10.1007/978-3-030-05532-5_43

Cite this

Robles, P., Tello, A., Zúñiga-Prieto, M., & Solano-Quinde, L. (2019). Modeling 911 emergency events in cuenca-ecuador using geo-spatial data. In M. Botto-Tobar, M. D’Armas, M. Zúñiga Sánchez, M. Zúñiga-Prieto, & G. Pizarro (Eds.), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers (pp. 564-577). (Communications in Computer and Information Science; Vol. 895). Springer Verlag. https://doi.org/10.1007/978-3-030-05532-5_43

Robles, Pablo ; Tello, Andrés ; Zúñiga-Prieto, Miguel et al. / Modeling 911 emergency events in cuenca-ecuador using geo-spatial data. Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. editor / Miguel Botto-Tobar ; Mayra D’Armas ; Miguel Zúñiga Sánchez ; Miguel Zúñiga-Prieto ; Guillermo Pizarro. Springer Verlag, 2019. pp. 564-577 (Communications in Computer and Information Science).

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title = "Modeling 911 emergency events in cuenca-ecuador using geo-spatial data",

abstract = "We present several techniques for modeling emergency events using data from 911 emergency calls in the city of Cuenca-Ecuador. We apply three types of models. First, we use a probabilistic description of events using Gaussian kernels based on both, regular segmentation and mixture models, to represent the spatial distribution of occurrences. Second, we verify the qualitative relation of the clusters obtained with our kernel model with respect to the geo-political organization of the city. Finally, we develop an emergency model using a large dataset corresponding to the period January 1st 2015 through December 31st 2016 and test various data mining algorithms for prediction purposes. We verify the usefulness of our approach experimentally.",

keywords = "911 calls, Emergency calls, GMM, Kernel models",

author = "Pablo Robles and Andr{\'e}s Tello and Miguel Z{\'u}{\~n}iga-Prieto and Lizandro Solano-Quinde",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 4th International Conference on Technology Trends, CITT 2018 ; Conference date: 29-08-2018 Through 31-08-2018",

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doi = "10.1007/978-3-030-05532-5\_43",

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Robles, P, Tello, A, Zúñiga-Prieto, M & Solano-Quinde, L 2019, Modeling 911 emergency events in cuenca-ecuador using geo-spatial data. in M Botto-Tobar, M D’Armas, M Zúñiga Sánchez, M Zúñiga-Prieto & G Pizarro (eds), Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Communications in Computer and Information Science, vol. 895, Springer Verlag, pp. 564-577, 4th International Conference on Technology Trends, CITT 2018, Babahoyo, Ecuador, 29/08/18. https://doi.org/10.1007/978-3-030-05532-5_43

Modeling 911 emergency events in cuenca-ecuador using geo-spatial data. / Robles, Pablo; Tello, Andrés; Zúñiga-Prieto, Miguel et al.
Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. ed. / Miguel Botto-Tobar; Mayra D’Armas; Miguel Zúñiga Sánchez; Miguel Zúñiga-Prieto; Guillermo Pizarro. Springer Verlag, 2019. p. 564-577 (Communications in Computer and Information Science; Vol. 895).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling 911 emergency events in cuenca-ecuador using geo-spatial data

AU - Robles, Pablo

AU - Tello, Andrés

AU - Zúñiga-Prieto, Miguel

AU - Solano-Quinde, Lizandro

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - We present several techniques for modeling emergency events using data from 911 emergency calls in the city of Cuenca-Ecuador. We apply three types of models. First, we use a probabilistic description of events using Gaussian kernels based on both, regular segmentation and mixture models, to represent the spatial distribution of occurrences. Second, we verify the qualitative relation of the clusters obtained with our kernel model with respect to the geo-political organization of the city. Finally, we develop an emergency model using a large dataset corresponding to the period January 1st 2015 through December 31st 2016 and test various data mining algorithms for prediction purposes. We verify the usefulness of our approach experimentally.

AB - We present several techniques for modeling emergency events using data from 911 emergency calls in the city of Cuenca-Ecuador. We apply three types of models. First, we use a probabilistic description of events using Gaussian kernels based on both, regular segmentation and mixture models, to represent the spatial distribution of occurrences. Second, we verify the qualitative relation of the clusters obtained with our kernel model with respect to the geo-political organization of the city. Finally, we develop an emergency model using a large dataset corresponding to the period January 1st 2015 through December 31st 2016 and test various data mining algorithms for prediction purposes. We verify the usefulness of our approach experimentally.

KW - 911 calls

KW - Emergency calls

KW - GMM

KW - Kernel models

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DO - 10.1007/978-3-030-05532-5_43

M3 - Contribución a la conferencia

AN - SCOPUS:85059782858

SN - 9783030055318

T3 - Communications in Computer and Information Science

SP - 564

EP - 577

BT - Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers

A2 - Botto-Tobar, Miguel

A2 - D’Armas, Mayra

A2 - Zúñiga Sánchez, Miguel

A2 - Zúñiga-Prieto, Miguel

A2 - Pizarro, Guillermo

PB - Springer Verlag

T2 - 4th International Conference on Technology Trends, CITT 2018

Y2 - 29 August 2018 through 31 August 2018

ER -

Robles P, Tello A, Zúñiga-Prieto M, Solano-Quinde L. Modeling 911 emergency events in cuenca-ecuador using geo-spatial data. In Botto-Tobar M, D’Armas M, Zúñiga Sánchez M, Zúñiga-Prieto M, Pizarro G, editors, Technology Trends - 4th International Conference, CITT 2018, Revised Selected Papers. Springer Verlag. 2019. p. 564-577. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-05532-5_43

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

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

Cite this

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

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

Cite this