Intersectional inequalities in neighbourhood air pollution concentration in England: A quantitative analysis of ecological data using Eco-Intersectional Multilevel (EIM) modelling

Bennett, N.C., Bell, A., Norman, P. et al. (2 more authors) (2026) Intersectional inequalities in neighbourhood air pollution concentration in England: A quantitative analysis of ecological data using Eco-Intersectional Multilevel (EIM) modelling. Applied Spatial Analysis and Policy, 19. 23. ISSN: 1874-463X

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Bennett, N.C.
  • Bell, A.
  • Norman, P.
  • Evans, C.
  • Veness, R.
Copyright, Publisher and Additional Information:

© The Author(s) 2026. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Inequality; intersectionality; environmental justice; air pollution; EIM; MAIHDA
Dates:
  • Accepted: 21 December 2025
  • Published (online): 30 January 2026
  • Published: 30 January 2026
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > School of Education
Funding Information:
Funder
Grant number
ECONOMIC & SOCIAL RESEARCH COUNCIL
ES/X011313/1
Date Deposited: 08 Jan 2026 15:56
Last Modified: 30 Jan 2026 14:43
Status: Published
Publisher: Springer
Refereed: Yes
Identification Number: 10.1007/s12061-025-09787-8
Open Archives Initiative ID (OAI ID):

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