Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario

Natural or human-made disasters could do huge damage in urban areas and eventually could take lives. It is fundamental to get knowledge of the event’s characteristics to dispose of hasty information to help affected people or to prevent all the citizens from the danger zone, and then it will get tim...

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Autores:
Puentes, Michael
Arroyo Delgado, Irene
Carrillo, Oscar
Barrios H, Carlos J
Le Mouel, Frédèric
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/25809
Acceso en línea:
http://hdl.handle.net/10784/25809
Palabra clave:
Crisis management
crowdsourcing
unplanned cities
smartcities
internet of things
Gestión de crisis
administración de los datos
ciudadesno planeadas
ciudades inteligentes
internet de las cosas
Rights
openAccess
License
Acceso abierto
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dc.title.eng.fl_str_mv Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
dc.title.spa.fl_str_mv Construyendo una ciudad inteligente para lagestión de crisis en ciudades de rápido crecimientoy no planeadas: escenario en Colombia
title Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
spellingShingle Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
Crisis management
crowdsourcing
unplanned cities
smartcities
internet of things
Gestión de crisis
administración de los datos
ciudadesno planeadas
ciudades inteligentes
internet de las cosas
title_short Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
title_full Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
title_fullStr Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
title_full_unstemmed Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
title_sort Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian Scenario
dc.creator.fl_str_mv Puentes, Michael
Arroyo Delgado, Irene
Carrillo, Oscar
Barrios H, Carlos J
Le Mouel, Frédèric
dc.contributor.author.spa.fl_str_mv Puentes, Michael
Arroyo Delgado, Irene
Carrillo, Oscar
Barrios H, Carlos J
Le Mouel, Frédèric
dc.contributor.affiliation.spa.fl_str_mv Universidad Industrial de Santander
Universidad Politécnica de Madrid
Ecole Superieur de Chimie Physique Electronique de Lyon
Institut National des Sciences Appliquées - INSA - CitiLab Lyon/France
dc.subject.keyword.eng.fl_str_mv Crisis management
crowdsourcing
unplanned cities
smartcities
internet of things
topic Crisis management
crowdsourcing
unplanned cities
smartcities
internet of things
Gestión de crisis
administración de los datos
ciudadesno planeadas
ciudades inteligentes
internet de las cosas
dc.subject.keyword.spa.fl_str_mv Gestión de crisis
administración de los datos
ciudadesno planeadas
ciudades inteligentes
internet de las cosas
description Natural or human-made disasters could do huge damage in urban areas and eventually could take lives. It is fundamental to get knowledge of the event’s characteristics to dispose of hasty information to help affected people or to prevent all the citizens from the danger zone, and then it will get time to respond to the crisis. Internet of Things (IoT) has a big impact on this kind of situation because a large amount of data through different devices could provide information about the situation, and about the people that are involved in the crisis. In a disaster, one of the big problems adding to the principal crisis is the disinformation, for that reason is necessary to have available and trusty data in case of disaster, also to know the data that provided the information system. To inform the affected people around the crisis event, there is exist some previous works that have used data from sensors, social networks text, or images, to finally be processed [1],[2],[3],[4],[5],[6],[7],[8]. This paper aims to review study-cases where cities implement crisis management platforms, focus on IoT environment where applications use hybrid data to be processed to help citizens in a crisis situation. Natural or human-made disasters could do huge damage in urban areas and eventually could take lives. It is fundamental to get knowledge of the event’s characteristics to dispose of hasty information to help affected people or to prevent all the citizens from the danger zone, and then it will get time to respond to the crisis. Internet of Things (IoT) has a big impact on this kind of situation because a large amount of data through different devices could provide information about the situation, and about the people that are involved in the crisis. In a disaster, one of the big problems adding to the principal crisis is the disinformation, for that reason is necessary to have available and trusty data in case of disaster, also to know the data that provided the information system. To inform the affected people around the crisis event, there is exist some previous works that have used data from sensors, social networks text, or images, to finally be processed [1],[2],[3],[4],[5],[6],[7],[8]. This paper aims to review study-cases where cities implement crisis management platforms, focus on IoT environment where applications use hybrid data to be processed to help citizens in a crisis situation.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020-11-11
dc.date.available.none.fl_str_mv 2021-02-19T16:41:44Z
dc.date.accessioned.none.fl_str_mv 2021-02-19T16:41:44Z
dc.date.none.fl_str_mv 2020-11-11
dc.type.eng.fl_str_mv article
info:eu-repo/semantics/article
publishedVersion
info:eu-repo/semantics/publishedVersion
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dc.type.local.spa.fl_str_mv Artículo
status_str publishedVersion
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dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/25809
identifier_str_mv 1794-9165
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.none.fl_str_mv https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6548/5065
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rights_invalid_str_mv Acceso abierto
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dc.coverage.spatial.none.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.spa.fl_str_mv Revista Ingeniería y Ciencias, Vol. 16 Núm. 32 (2020)
institution Universidad EAFIT
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2020-11-112021-02-19T16:41:44Z2020-11-112021-02-19T16:41:44Z1794-9165http://hdl.handle.net/10784/25809Natural or human-made disasters could do huge damage in urban areas and eventually could take lives. It is fundamental to get knowledge of the event’s characteristics to dispose of hasty information to help affected people or to prevent all the citizens from the danger zone, and then it will get time to respond to the crisis. Internet of Things (IoT) has a big impact on this kind of situation because a large amount of data through different devices could provide information about the situation, and about the people that are involved in the crisis. In a disaster, one of the big problems adding to the principal crisis is the disinformation, for that reason is necessary to have available and trusty data in case of disaster, also to know the data that provided the information system. To inform the affected people around the crisis event, there is exist some previous works that have used data from sensors, social networks text, or images, to finally be processed [1],[2],[3],[4],[5],[6],[7],[8]. This paper aims to review study-cases where cities implement crisis management platforms, focus on IoT environment where applications use hybrid data to be processed to help citizens in a crisis situation. Natural or human-made disasters could do huge damage in urban areas and eventually could take lives. It is fundamental to get knowledge of the event’s characteristics to dispose of hasty information to help affected people or to prevent all the citizens from the danger zone, and then it will get time to respond to the crisis. Internet of Things (IoT) has a big impact on this kind of situation because a large amount of data through different devices could provide information about the situation, and about the people that are involved in the crisis. In a disaster, one of the big problems adding to the principal crisis is the disinformation, for that reason is necessary to have available and trusty data in case of disaster, also to know the data that provided the information system. To inform the affected people around the crisis event, there is exist some previous works that have used data from sensors, social networks text, or images, to finally be processed [1],[2],[3],[4],[5],[6],[7],[8]. This paper aims to review study-cases where cities implement crisis management platforms, focus on IoT environment where applications use hybrid data to be processed to help citizens in a crisis situation.Los desastres naturales o provocados por el hombre podrían causargrandes daños en las áreas urbanas y eventualmente podrían cobrarvidas. Es fundamental conocer las características del evento para disponerde rápida respuesta para ayudar a las personas afectadas o para evitarque todos los ciudadanos salgan de la zona de peligro, y luego setendrá tiempo de responder a la crisis. El internet de las cosas (IoT)tiene un gran impacto en este tipo de situaciones porque con una grancantidad de datos a través de diferentes dispositivos podrían brindarinformación suficiente sobre la situación y sobre las personas involucradasen medio de la crisis. En un desastre, uno de los grandes problemas esla desinformación, por eso es necesario tener datos confiables en casode desastre, y disponer de una infraestructura capáz de responder enun estado de emergencia. Para informar a las personas afectadas sobreel evento de crisis, existen algunos trabajos previos que han utilizadodatos de sensores, texto de redes sociales o imágenes, para finalmente serprocesados [1],[2],[3],[4],[5],[6],[7],[8]. Este documento tiene como objetivorevisar los casos de estudio donde las ciudades implementan plataformasde gestión de crisis, y se centra en el entorno de IoT donde las aplicacionesutilizan datos híbridos para ser procesados y ayudar a los ciudadanos enuna situación de crisis.application/pdfengUniversidad EAFIThttps://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6548/5065https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6548/5065Copyright © 2020 Michael Puentes, Irene Arroyo Delgado, Oscar Carrillo, Carlos J Barrios H, Frédèric Le Mouelinfo:eu-repo/semantics/openAccessAcceso abiertohttp://purl.org/coar/access_right/c_abf2Revista Ingeniería y Ciencias, Vol. 16 Núm. 32 (2020)Towards Smart-City Implementation for Crisis Management in Fast-Growing and Unplanned Cities: the Colombian ScenarioConstruyendo una ciudad inteligente para lagestión de crisis en ciudades de rápido crecimientoy no planeadas: escenario en Colombiaarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Crisis managementcrowdsourcingunplanned citiessmartcitiesinternet of thingsGestión de crisisadministración de los datosciudadesno planeadasciudades inteligentesinternet de las cosasPuentes, MichaelArroyo Delgado, IreneCarrillo, OscarBarrios H, Carlos JLe Mouel, FrédèricUniversidad Industrial de SantanderUniversidad Politécnica de MadridEcole Superieur de Chimie Physique Electronique de LyonInstitut National des Sciences Appliquées - INSA - CitiLab Lyon/FranceIngeniería y Ciencias1632151169THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/38b930ad-3196-4d74-97ab-f1d4e029b994/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINALdocument - 2021-04-28T221226.277.pdfdocument - 2021-04-28T221226.277.pdfPDF Completoapplication/pdf975947https://repository.eafit.edu.co/bitstreams/fbd2a7c8-2c97-4c6a-bef2-90da3601d3bf/downloadf276012f6aa60f128fa2ceea88238111MD52articulo - copia (7).htmlarticulo - copia (7).htmlHTML Completotext/html375https://repository.eafit.edu.co/bitstreams/1f040104-372d-40e5-993a-5054a13608e8/download7195f368adcff0d99e592362c96b4fa8MD5310784/25809oai:repository.eafit.edu.co:10784/258092021-04-28 22:14:20.105open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co