https://dx.doi.org/10.3389/frsc.2022.928230">
 

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Cities face intersectional challenges implementing climate adaptation policy. This research contributes to scholarship dedicated to understanding how policy implementation affects socially vulnerable groups, with the overarching goal of promoting justice and equity in climate policy implementation. We apply a novel framework that integrates social justice theory and the advocacy coalition framework to incrementally assess just climate adaptation in Boston, Massachusetts in the United States. Boston made an ambitious commitment to address equity as part of its climate planning and implementation efforts. In this paper, we evaluate the first implementation stage over the period 2016–2019 during which Boston developed coastal resilience plans for three neighborhoods. Despite Boston's commitment to equity, we find injustice was nevertheless reproduced through representation and coalition dynamics, the framing of problems and solutions, and a failure to recognize the priorities and lived experiences of city residents. The assessment framework presented can be adapted to evaluate how other climate adaptation initiatives advance social justice and highlights the need for incremental evaluation over short time periods to inform ongoing implementation efforts.

Department

Natural Resources and the Environment; Sociology; Health Management and Policy

Publication Date

11-21-2022

Journal Title

Frontiers in Sustainable Cities

Publisher

Frontiers

Digital Object Identifier (DOI)

https://dx.doi.org/10.3389/frsc.2022.928230

Document Type

Article

Rights

© 2022 Malloy, Ashcraft, Kirshen, Safford, Aytur and Rogers.

Comments

This is an open access article published by Frontiers in Frontiers in Sustainable Cities in 2022, available online: https://dx.doi.org/10.3389/frsc.2022.928230

This publication is an outcome from Jeffrey T. Malloy's PhD dissertation, which can be viewed here: https://scholars.unh.edu/dissertation/2627/

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