IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-49276-z.html
   My bibliography  Save this article

Unequal distributions of crowdsourced weather data in England and Wales

Author

Listed:
  • Oscar Brousse

    (Institute of Environmental Design and Engineering)

  • Charles H. Simpson

    (Institute of Environmental Design and Engineering)

  • Ate Poorthuis

    (Department of Earth and Environmental Sciences)

  • Clare Heaviside

    (Institute of Environmental Design and Engineering)

Abstract

Personal weather stations (PWS) can provide useful data on urban climates by densifying the number of weather measurements across major cities. They do so at a lower cost than official weather stations by national meteorological services. Despite the increasing use of PWS data, little attention has yet been paid to the underlying socio-economic and environmental inequalities in PWS coverage. Using social deprivation, demographic, and environmental indicators in England and Wales, we characterize existing inequalities in the current coverage of PWS. We find that there are fewer PWS in more deprived areas which also observe higher proportions of ethnic minorities, lower vegetation coverage, higher building height and building surface fraction, and lower proportions of inhabitants under 65 years old. This implies that data on urban climate may be less reliable or more uncertain in particular areas, which may limit the potential for climate adaptation and empowerment in those communities.

Suggested Citation

  • Oscar Brousse & Charles H. Simpson & Ate Poorthuis & Clare Heaviside, 2024. "Unequal distributions of crowdsourced weather data in England and Wales," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49276-z
    DOI: 10.1038/s41467-024-49276-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-49276-z
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-49276-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Caitlin Robinson & Rachel S. Franklin & Jack Roberts, 2022. "Optimizing for Equity: Sensor Coverage, Networks, and the Responsive City," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 112(8), pages 2152-2173, November.
    2. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    3. Kelly C. Saverino & Emily Routman & Todd R. Lookingbill & Andre M. Eanes & Jeremy S. Hoffman & Rong Bao, 2021. "Thermal Inequity in Richmond, VA: The Effect of an Unjust Evolution of the Urban Landscape on Urban Heat Islands," Sustainability, MDPI, vol. 13(3), pages 1-18, February.
    4. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    5. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
    2. Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    3. Peter M. Bednar & Christine Welch, 0. "Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    4. Federica Cena & Luca Console & Assunta Matassa & Ilaria Torre, 2019. "Multi-dimensional intelligence in smart physical objects," Information Systems Frontiers, Springer, vol. 21(2), pages 383-404, April.
    5. Shang, Juan & Li, Pengfei & Li, Ling & Chen, Yong, 2018. "The relationship between population growth and capital allocation in urbanization," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 249-256.
    6. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    8. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.
    9. Emilia Ingemarsdotter & Ella Jamsin & Gerd Kortuem & Ruud Balkenende, 2019. "Circular Strategies Enabled by the Internet of Things—A Framework and Analysis of Current Practice," Sustainability, MDPI, vol. 11(20), pages 1-37, October.
    10. Lei, Yu & Ali, Mazhar & Khan, Imran Ali & Yinling, Wang & Mostafa, Aziz, 2024. "Presenting a model for decentralized operation based on the internet of things in a system multiple microgrids," Energy, Elsevier, vol. 293(C).
    11. Kristoffersen, Eivind & Blomsma, Fenna & Mikalef, Patrick & Li, Jingyue, 2020. "The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies," Journal of Business Research, Elsevier, vol. 120(C), pages 241-261.
    12. Seker, Sukran, 2022. "IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment," Technology in Society, Elsevier, vol. 71(C).
    13. Helder Sequeiros & Tiago Oliveira & Manoj A. Thomas, 2022. "The Impact of IoT Smart Home Services on Psychological Well-Being," Information Systems Frontiers, Springer, vol. 24(3), pages 1009-1026, June.
    14. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    15. Cenying Yang & Yihao Feng & Andrew Whinston, 2022. "Dynamic Pricing and Information Disclosure for Fresh Produce: An Artificial Intelligence Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 155-171, January.
    16. Ehab Shahat & Chang T. Hyun & Chunho Yeom, 2020. "Conceptualizing Smart Disaster Governance: An Integrative Conceptual Framework," Sustainability, MDPI, vol. 12(22), pages 1-17, November.
    17. Raja Masadeh & Bayan AlSaaidah & Esraa Masadeh & Moh’d Rasoul Al-Hadidi & Omar Almomani, 2022. "Elastic Hop Count Trickle Timer Algorithm in Internet of Things," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    18. Nripendra P. Rana & Sunil Luthra & Sachin Kumar Mangla & Rubina Islam & Sian Roderick & Yogesh K. Dwivedi, 2019. "Barriers to the Development of Smart Cities in Indian Context," Information Systems Frontiers, Springer, vol. 21(3), pages 503-525, June.
    19. Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
    20. Ghassan Beydoun & Babak Abedin & José M. Merigó & Melanie Vera, 2019. "Twenty Years of Information Systems Frontiers," Information Systems Frontiers, Springer, vol. 21(2), pages 485-494, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49276-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.