skip to main content
10.1145/3524458.3547225acmconferencesArticle/Chapter ViewAbstractPublication PagesgooditConference Proceedingsconference-collections
research-article

Guidance on applying environmental intelligence to inform green investment

Authors Info & Claims
Published:07 September 2022Publication History

ABSTRACT

In this paper we show how environmental intelligence (EI) can be used to obtain evidence to support green investments focused on land use in urban and rural areas. Specifically, we propose a six step R&D process to facilitate the development and use of advanced environmental monitoring equipment to inform green investments. The six steps are: problem definition, experimental design, indicator development, hardware and software development, investment performance evaluation and outcomes communication. To help show how EI can be applied to support green investments we use a live investment as a case study. The investment we focus on is the pedestrianisation of a section of the busy Strand-Aldwych gyratory in central London (England). We first describe our activities for each stage of the R&D process and conclude with recommendations to others considering using EI to help provide an evidence base for green investment.

References

  1. Mulligan, M. Douglas, C., van Soesbergen, A., Shi, Maoijing, Burke, S., van Delden, H., Giordano, R., Lopez-Gunn, E., Scrieciu, A. 2021. Environmental intelligence for more sustainable infrastructure investment. In Proceedings of ACM Rome conference (Rome’21). ACM, Rome, Italy: 225 - 229 https://doi.org/10.1145/3462203.3475916Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Tetteroo, T. 2021. Pedestrianisation project on the Strand Aldwych. Strandlines. Date accessed: 15 March 2022. Available: https://www.strandlines.london/2021/05/21/pedestrianisation-project-on-the-strand-aldwych/Google ScholarGoogle Scholar
  3. Berger, E.H (Ed.) 2003. The Noise Manual, Fifth Edition. American Industrial Hygiene AssociationGoogle ScholarGoogle Scholar
  4. DFRobot 2022. SKU:SEN0232 Datasheet available at: https://wiki.dfrobot.com/Gravity__Analog_Sound_Level_Meter_SKU_SEN0232Google ScholarGoogle Scholar
  5. Nova Fitness Co Ltd 2015. Laser PM2.5 Sensor, Product model: SDS011 v1.3 Datasheet available: https://cdn-reichelt.de/documents/datenblatt/X200/SDS011-DATASHEET.pdfGoogle ScholarGoogle Scholar
  6. Sensirion 2018. Datasheet SPS30. Datasheet available at https://www.farnell.com/datasheets/2702928.pdfGoogle ScholarGoogle Scholar
  7. Kamami 2016. PMS7003 series data manual. Datasheet available at https://download.kamami.pl/p564008-PMS7003%20series%20data%20manua_English_V2.5.pdfGoogle ScholarGoogle Scholar
  8. Yong 2016. Digital universal particle concentration sensor. Datasheet available at https://www.aqmd.gov/docs/default-source/aq-spec/resources-page/plantower-pms5003-manual_v2-3.pdfGoogle ScholarGoogle Scholar
  9. Alphasense Ltd 2019. OPC-N3 Particle Monitor for use in high pollution urban environments. Datasheet available at https://www.alphasense.com/wp-content/uploads/2019/03/OPC-N3.pdfGoogle ScholarGoogle Scholar
  10. KCL and Ambiotek CIC 2022. PCBs. Further information about the FreeStation PCBs are available at http://www.freestation.org/pcbsGoogle ScholarGoogle Scholar
  11. Particle 2022a. Photon Datasheet v021 Datasheet available at https://docs.particle.io/datasheets/wi-fi/photon-datasheet/Google ScholarGoogle Scholar
  12. Particle 2022b. Electron Datasheet v010. Datasheet available at https://docs.particle.io/datasheets/electron/electron-datasheet/Google ScholarGoogle Scholar
  13. Bamzai-Dodson, A., Cravens, A.E., Wade, A.A., McPherson, R.A. 2021. Engaging with stakeholders to produce actionable science: a framework and guidance. Weather, Climate and Society 13 (4): 1027 - 1041 https://doi.org/10.1175/WCAS-D-21-0046.1Google ScholarGoogle Scholar
  14. Mulligan, M., Burke, S., Douglas, C., van Soesbergen, A. in press_a. Methodologies to assess and map the biophysical effectiveness of Nature Based Solution. Chapter 4 in Greening Water Risks: natural assurance schemes. SpringerGoogle ScholarGoogle Scholar
  15. Mulligan, M., van Soesbergen, A., Douglas, C., Burke, S. in press_b. Natural flood management in the Thames Basin: building evidence for what will and will not work. Chapter 12 in Greening Water Risks: natural assurance schemes. SpringerGoogle ScholarGoogle Scholar

Index Terms

  1. Guidance on applying environmental intelligence to inform green investment

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good
          September 2022
          436 pages
          ISBN:9781450392846
          DOI:10.1145/3524458

          Copyright © 2022 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 7 September 2022

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article
          • Research
          • Refereed limited

          Upcoming Conference

          GoodIT '24
        • Article Metrics

          • Downloads (Last 12 months)16
          • Downloads (Last 6 weeks)0

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader

        HTML Format

        View this article in HTML Format .

        View HTML Format