LIPIcs.GIScience.2023.20.pdf
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Exploring Energy Deprivation Across Small Areas in England and Wales (Short Paper)
Authors
Meixu Chen 
,
Alex Singleton ,
Caitlin Robinson
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Volume:
12th International Conference on Geographic Information Science (GIScience 2023)
Series: Leibniz International Proceedings in Informatics (LIPIcs)
Conference: International Conference on Geographic Information Science (GIScience) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2023-09-07
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Acknowledgements
I want to thank colleagues from Geographic Data Science Lab for their advice on the classification labelling.
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Meixu Chen, Alex Singleton, and Caitlin Robinson. Exploring Energy Deprivation Across Small Areas in England and Wales (Short Paper). In 12th International Conference on Geographic Information Science (GIScience 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 277, pp. 20:1-20:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.GIScience.2023.20
https://doi.org/10.4230/LIPIcs.GIScience.2023.20
Abstract
Building on a growing field of research on vulnerability to energy poverty, this study focused on addressing the rising energy crisis by examining the issue of energy deprivation in local areas of England and Wales. We developed a classification for energy deprivation using a clustering method to group multiple indicators across various domains. By doing this, we identify spatial disparities of energy deprivation for people living in different neighbourhoods, aiming to provide valuable insights for governments, charities and stakeholders and inform policy making and intervention.
Subject Classification
ACM Subject Classification
- General and reference → Measurement
Keywords
- energy deprivation
- spatial inequality
- vulnerability
- geodemographics
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References
- Stefan Bouzarovski and Saska Petrova. A global perspective on domestic energy deprivation: Overcoming the energy poverty-fuel poverty binary. Energy Research and Social Science, 2015. URL: https://doi.org/10.1016/j.erss.2015.06.007.
- Meixu Chen, Dominik Fahrner, Daniel Arribas-Bel, and Francisco Rowe. A reproducible notebook to acquire, process and analyse satellite imagery. REGION, 2020. URL: https://doi.org/10.18335/region.v7i2.295.
- Department for Business Energy and Industrial Strategy. Net Zero Strategy: Build Back Greener, 2021. URL: https://www.gov.uk/government/publications/net-zero-strategy.
- Christopher G. Gale, Alexander D. Singleton, Andrew G. Bates, and Paul A. Longley. Creating the 2011 area classification for output areas (2011 OAC). Journal of Spatial Information Science, 12(2016):1-27, 2016. URL: https://doi.org/10.5311/JOSIS.2016.12.232.
- Mikel González-Eguino. Energy poverty: An overview, 2015. URL: https://doi.org/10.1016/j.rser.2015.03.013.
- IEA. Global Energy Crisis, 2022. URL: https://www.iea.org/topics/global-energy-crisis.
- Christine Liddell and Chris Morris. Fuel poverty and human health: A review of recent evidence. Energy Policy, 2010. URL: https://doi.org/10.1016/j.enpol.2010.01.037.
- National Energy Action. Energy Crisis, 2022. URL: https://www.nea.org.uk/energy-crisis/.
- Office for National Statistics. Age of the property is the biggest single factor in energy efficiency of homes, 2022. URL: https://www.ons.gov.uk/peoplepopulationandcommunity/housing/articles/ageofthepropertyisthebiggestsinglefactorinenergyefficiencyofhomes/2021-11-01.
- Saska Petrova. Encountering energy precarity: Geographies of fuel poverty among young adults in the UK. Transactions of the Institute of British Geographers, 2018. URL: https://doi.org/10.1111/tran.12196.
-
K. N. Reddy, David Bloom, Anita Kaniz, and Mehdi Zaidi. Energy and Social Issues. Energy, 2000.
- Caitlin Robinson, Stefan Bouzarovski, and Sarah Lindley. "Getting the measure of fuel poverty": The geography of fuel poverty indicators in England. Energy Research and Social Science, 2018. URL: https://doi.org/10.1016/j.erss.2017.09.035.
- Caitlin Robinson, Sarah Lindley, and Stefan Bouzarovski. The Spatially Varying Components of Vulnerability to Energy Poverty. Annals of the American Association of Geographers, 2019. URL: https://doi.org/10.1080/24694452.2018.1562872.
- Alex Singleton, Alexandros Alexiou, and Rahul Savani. Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation. Computers, Environment and Urban Systems, 2020. URL: https://doi.org/10.1016/j.compenvurbsys.2020.101486.