Empowering citizens through perceptual sensing of urban environmental and health data following a participative citizen science approach

Ottaviano, Manuel and Beltrán Jaunsaras, María Eugenia and Terius Padrón, José Gabriel and García Betances, Rebeca Isabel and González Martínez, Sergio and Cea Sánchez, Gloria and Vera Muñoz, Cecilia and Cabrera Umpierrez, María Fernanda and Arredondo Waldmeyer, María Teresa (2019). Empowering citizens through perceptual sensing of urban environmental and health data following a participative citizen science approach. "Sensors", v. 19 (n. 2940); pp. 1-19. ISSN 1424-8220. https://doi.org/10.3390/s19132940.

Description

Title: Empowering citizens through perceptual sensing of urban environmental and health data following a participative citizen science approach
Author/s:
  • Ottaviano, Manuel
  • Beltrán Jaunsaras, María Eugenia
  • Terius Padrón, José Gabriel
  • García Betances, Rebeca Isabel
  • González Martínez, Sergio
  • Cea Sánchez, Gloria
  • Vera Muñoz, Cecilia
  • Cabrera Umpierrez, María Fernanda
  • Arredondo Waldmeyer, María Teresa
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 3 July 2019
ISSN: 1424-8220
Volume: 19
Subjects:
Freetext Keywords: citizen science; pollution; public health; environmental sensors; sustainable lifestyle; green behaviour; user empowerment
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The growth of the urban population together with a high concentration of air pollution have important health impacts on citizens who are exposed to them, causing serious risks of the development and evolution of different chronic diseases. This paper presents the design and development of a novel participatory citizen science-based application and data ecosystem model. These developments are imperative and scientifically designed to gather and process perceptual sensing of urban, environmental, and health data. This data acquisition approach allows citizens to gather and generate environment- and health-related data through mobile devices. The sum of all citizens’ data will continuously enrich and increase the volumes of data coming from the city sensors and sources across geographical locations. These scientifically generated data, coupled with data from the city sensors and sources, will enable specialized predictive analytic solutions to empower citizens with urban, environmental, and health recommendations, while enabling new data-driven policies. Although it is difficult for citizens to relate their personal behaviour to large-scale problems such as climate change, pollution, or public health, the developed ecosystem provides the necessary tools to enable a greener and healthier lifestyle, improve quality of life, and contribute towards a more sustainable local environment.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020727816PULSEUNIVERSIDAD POLITECNICA DE MADRIDParticipatory Urban Living for Sustainable Environments
Horizon 2020676157ACROSSINGDE MONTFORT UNIVERSITYAdvanced TeChnologies and PlatfoRm fOr Smarter ASsisted LivING

More information

Item ID: 63561
DC Identifier: http://oa.upm.es/63561/
OAI Identifier: oai:oa.upm.es:63561
DOI: 10.3390/s19132940
Official URL: https://www.mdpi.com/1424-8220/19/13/2940
Deposited by: Memoria Investigacion
Deposited on: 26 Sep 2020 09:33
Last Modified: 26 Sep 2020 09:33
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