High-Resolution Assessment of Air Quality in Urban Areas—A Business Model Perspective
The increasing availability of low-cost air quality sensors has led to novel sensing approaches. Distributed networks of low-cost sensors, together with data fusion and analytics, have enabled unprecedented, spatiotemporal resolution when observing the urban atmosphere. Several projects have demonst...
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doaj-56eaefdccb454eae89705d2d32fa5c302021-05-31T23:08:11ZengMDPI AGAtmosphere2073-44332021-05-011259559510.3390/atmos12050595High-Resolution Assessment of Air Quality in Urban Areas—A Business Model PerspectiveKlaus Schäfer0Kristian Lande1Hans Grimm2Guido Jenniskens3Roel Gijsbers4Volker Ziegler5Marcus Hank6Matthias Budde7Aerosol Akademie e.V., 83404 Ainring, GermanyAirVeraCity, EPFL, 1015 Lausanne, SwitzerlandAerosol Akademie e.V., 83404 Ainring, GermanyENS Clean Air, 5431 DH Cuijk, The NetherlandsENS Clean Air, 5431 DH Cuijk, The NetherlandsGRIMM Aerosol Technik Ainring GmbH & Co. KG, 83404 Ainring, GermanyGRIMM Aerosol Technik Ainring GmbH & Co. KG, 83404 Ainring, GermanyChair for Pervasive Computing Systems/TECO, Karlsruhe Institute of Technology, 76131 Karlsruhe, GermanyThe increasing availability of low-cost air quality sensors has led to novel sensing approaches. Distributed networks of low-cost sensors, together with data fusion and analytics, have enabled unprecedented, spatiotemporal resolution when observing the urban atmosphere. Several projects have demonstrated the potential of different approaches for high-resolution measurement networks ranging from static, low-cost sensor networks over vehicular and airborne sensing to crowdsourced measurements as well as ranging from a research-based operation to citizen science. Yet, sustaining the operation of such low-cost air quality sensor networks remains challenging because of the lack of regulatory support and the lack of an organizational framework linking these measurements to the official air quality network. This paper discusses the logical inclusion of lower-cost air quality sensors into the existing air quality network via a dynamic field calibration process, the resulting sustainable business models, and how this expansion can be self-funded.https://www.mdpi.com/2073-4433/12/5/595low-cost sensormiddle-cost sensorair pollutanthealth protectioncitizen sciencesustainability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Klaus Schäfer Kristian Lande Hans Grimm Guido Jenniskens Roel Gijsbers Volker Ziegler Marcus Hank Matthias Budde |
spellingShingle |
Klaus Schäfer Kristian Lande Hans Grimm Guido Jenniskens Roel Gijsbers Volker Ziegler Marcus Hank Matthias Budde High-Resolution Assessment of Air Quality in Urban Areas—A Business Model Perspective Atmosphere low-cost sensor middle-cost sensor air pollutant health protection citizen science sustainability |
author_facet |
Klaus Schäfer Kristian Lande Hans Grimm Guido Jenniskens Roel Gijsbers Volker Ziegler Marcus Hank Matthias Budde |
author_sort |
Klaus Schäfer |
title |
High-Resolution Assessment of Air Quality in Urban Areas—A Business Model Perspective |
title_short |
High-Resolution Assessment of Air Quality in Urban Areas—A Business Model Perspective |
title_full |
High-Resolution Assessment of Air Quality in Urban Areas—A Business Model Perspective |
title_fullStr |
High-Resolution Assessment of Air Quality in Urban Areas—A Business Model Perspective |
title_full_unstemmed |
High-Resolution Assessment of Air Quality in Urban Areas—A Business Model Perspective |
title_sort |
high-resolution assessment of air quality in urban areas—a business model perspective |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2021-05-01 |
description |
The increasing availability of low-cost air quality sensors has led to novel sensing approaches. Distributed networks of low-cost sensors, together with data fusion and analytics, have enabled unprecedented, spatiotemporal resolution when observing the urban atmosphere. Several projects have demonstrated the potential of different approaches for high-resolution measurement networks ranging from static, low-cost sensor networks over vehicular and airborne sensing to crowdsourced measurements as well as ranging from a research-based operation to citizen science. Yet, sustaining the operation of such low-cost air quality sensor networks remains challenging because of the lack of regulatory support and the lack of an organizational framework linking these measurements to the official air quality network. This paper discusses the logical inclusion of lower-cost air quality sensors into the existing air quality network via a dynamic field calibration process, the resulting sustainable business models, and how this expansion can be self-funded. |
topic |
low-cost sensor middle-cost sensor air pollutant health protection citizen science sustainability |
url |
https://www.mdpi.com/2073-4433/12/5/595 |
work_keys_str_mv |
AT klausschafer highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective AT kristianlande highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective AT hansgrimm highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective AT guidojenniskens highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective AT roelgijsbers highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective AT volkerziegler highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective AT marcushank highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective AT matthiasbudde highresolutionassessmentofairqualityinurbanareasabusinessmodelperspective |
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1721418282149347328 |