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...
- 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
id |
REPOEAFIT2_8120ca3fed2f0aa6778675f84ac0b10b |
---|---|
oai_identifier_str |
oai:repository.eafit.edu.co:10784/25809 |
network_acronym_str |
REPOEAFIT2 |
network_name_str |
Repositorio EAFIT |
repository_id_str |
|
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 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
1794-9165 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/25809 |
identifier_str_mv |
1794-9165 |
url |
http://hdl.handle.net/10784/25809 |
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 |
dc.relation.uri.none.fl_str_mv |
https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6548/5065 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.accessrights.eng.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
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 |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/38b930ad-3196-4d74-97ab-f1d4e029b994/download https://repository.eafit.edu.co/bitstreams/fbd2a7c8-2c97-4c6a-bef2-90da3601d3bf/download https://repository.eafit.edu.co/bitstreams/1f040104-372d-40e5-993a-5054a13608e8/download |
bitstream.checksum.fl_str_mv |
da9b21a5c7e00c7f1127cef8e97035e0 f276012f6aa60f128fa2ceea88238111 7195f368adcff0d99e592362c96b4fa8 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
_version_ |
1814110457197232128 |
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 |