Abstract
The topic of climate gentrification has been receiving increasing attention in both peer-reviewed literature and in popular discourse. Climate gentrification refers to the ways that climate impacts and adaptations may contribute to changes in community characteristics and potential displacement of vulnerable residents through changes in property values. Here, we conduct a review of the current literature on climate gentrification in order to understand methods and key themes, identify research gaps, and guide future research. Our search yielded a total of 12 relevant articles, beginning in 2018. After reviewing these articles, we identified several key methodological gaps including the lack of participatory methods, limited availability of longitudinal data, difficulty defining and measuring displacement, and challenges surrounding causality. We suggest that future work on climate gentrification should draw from Coupled Human and Natural Systems (CHANS) theory to further understand the complex feedbacks that exist in climate gentrification dynamics. To guide future research, we propose a framework as a CHAN that highlights the multi-spatial, multi-temporal, and multi-faceted dimensions of climate gentrification.
Introduction
It is well-established that the impacts of climate change are poised to disproportionately impact groups of people that have less adaptive capacity and have contributed the least to the problem, and this is also true within cities (Schlosberg and Collins, ; Anguelovski et al., ; Rice et al., ). Similarly, climate change adaptation action at the local level, much like climate impacts, has the potential to reinforce uneven risk exposure and socio-economic vulnerability across groups within a community (Caulfield, ; Smith, ; Dooling, ; Quastel, ; Pearsall and Anguelovski, ).
Researchers and the media have started to popularize a theory of “climate gentrification” as a mechanism by which climate change may contribute to inequality in housing. Though there are varying definitions, climate gentrification is the idea that climate impacts and adaptations may contribute to differences in property value (Flavelle, ; Bolstad, ; Keenan et al., ). In this way, climate change may interact with gentrification by creating and reinforcing pathways of displacement due to economic, physical, and social upgrading (Slater, ; Lees et al., ). It has been suggested that climate gentrification is already occurring in several cities in the U.S. (Flavelle, ; Milman, ; Zanzilotti, ; Benson, ).
As with any new area of research, there is much work to be done to understand the complexities of climate gentrification. With the peer-reviewed literature and popular discourse on climate gentrification growing, it is important to consider the current state, gaps, and future directions of research in this area. The goal of this article is to begin to assess the emerging field of climate gentrification and guide future research. Here, we present a review of the existing peer-reviewed literature, which allows us to synthesize the state of the literature and present a framework of climate gentrification that can unify current work and inform future research.
Methods: Literature Search
To conduct this review, we searched Web of Science using the keywords “climate” + “gentrification”. Results were limited to only English-language articles. This initial search yielded 69 total articles. These articles' abstracts were manually screened based on the following criteria:
Only articles with a study area in the United States
No review articles
Peer-reviewed
Finally, full-text articles were further screened manually based on relevance to our climate gentrification topic. While an article did not have to explicitly mention “climate gentrification” to be included, it did have to refer to gentrification in the context of a climate related impact or adaptation. After our review and screening, we identified a total of 12 relevant articles for full evaluation (Table 1). During the evaluation of these articles, we extracted information related to climate gentrification definitions and mechanisms, data and methods, and identified gaps or future work.
Table 1
| References | Definition and mechanism of gentrification | Methods | Environmental indicators | Social indicators | Housing indicators | Other indicators | Themes |
|---|---|---|---|---|---|---|---|
| Keenan et al., | Climate gentrification: Pathways by which climate change impacts geographies and property markets (includes superior investment, cost burden, and resilience investment) | Quantitative and Qualitative: Semi structured interviews and then regression | Elevation | None | Property values | None | climate gentrification; Miami-Dade; superior investment; cost burden; resilience investment; elevation |
| McAlpine and Porter, | Climate gentrification: redistribution of population and investment into areas lower risk to flooding | Quantitative: Existing data and models/projections | Sea level, tidal gauge data, elevation, storm surge | None | Proportion of property flooded, estimated loss of property value | None | property values; tidal flooding; Miami-Dade; projections; financial loss |
| Turan, | Rezoning/revitalization under the guise of responding to climate change cultivates socio-political exclusion and gentrification | Qualitative: Critical urban theory, community observation | Flood risk and past contamination | Income, race | Census level home sale values and rent | Rezoning - Loss of jobs, affordable retail | right to the city; local green voice; environmental justice; participation; rezoning; revitalization; |
| Knuth, | Retrofitting and energy efficiency contribute to increases in property values and gentrification | Qualitative: historical | Energy efficiency | None | None | None | retrofitting; green growth; decarbonization; green tech interests; political ecology |
| DuPuis and Greenberg, | Resilience investment: resilience infrastructure leaves the most vulnerable out. Asks: who has the right to a resilient city? | Qualitative: Document analysis | Post-Sandy development project to reduce future storm surges | None | None | Community engagement | post disaster recovery; green growth machine; equitable resilience; right to resilient city; Sandy |
| Finewood et al., | Green gentrification: reference gentrification including culture loss due to green technology/infrastructure | Qualitative: interviews | Green stormwater infrastructure | None | None | None | values of community; democratic participation; infrastructure; stormwater; urban political ecology |
| Wilson and Chakraborty, | Gentrification is a contributing factor, not a driver, to changes in spatial distribution of vulnerability to extreme heat over time | Quantitative: Vulnerability index and mapping with census data | Land surface temperatures | Age, education, poverty, race, income, access to car | Proportion of renter households, mobile homes, group quarters | Access to air conditioning | extreme heat; vulnerability; adaptive capacity; spatial distribution of risk |
| de Koning and Filatova, | Climate gentrification: Speculative investment in lower risk areas, pushes high-income households to safer areas while drawing lower-income households to riskier areas | Quantitative: spatial agent-based model, secondary data and interviews to calibrate/develop heuristics | Flooding | Household income, housing budget | Residential property | Agent decision heuristics, risk perception | Agent-based modeling; buyers and sellers; market-driven; trapped populations; environmental injustice; superior investment; poverty |
| Rice et al., | Carbon gentrification/ecological gentrification in a “climate friendly” city: low-carbon urban development as a driver of gentrification | Qualitative: interviews, observation, also some document analysis | Climate mitigation efforts through urban design | Change in racial composition, education, income | Change in the median home value and average median rent | None | low-carbon development; urban design; segregation; housing justice; just green enough; climate justice |
| Shokry et al., | Climate gentrification/Green resilience gentrification: Resilience investment, green resilience infrastructure leads to gentrification outcomes | Quantitative: spatial analysis and scoring with secondary data | Combined Sewer System (CSS) area, FEMA 100-year floodplain and impervious surfaces | Poverty, education, unemployment, race, age, limited English language proficiency | None | Gentrified census tracts | public-private investment; green resilience infrastructure; new landscapes of environmental injustice; maladaptation; segregation |
| Aune et al., | Climate gentrification: effects of climate change alter housing values in a way that leads to gentrification | Quantitative: Threshold and gentrification index with secondary/ACS data | Elevation, median flood depth | Race, ethnicity, education level, economic characteristics | Renters, dwelling type, housing density, new construction, resident relocation | None | pre and post storm; elevation; income; inequality; gentrification; Katrina |
| DiValli and Perkins, | Resilience through displacement: Community resilience obtained through displacement of residents, adding to risk of social upheaval and housing insecurity | Qualitative: Document analysis, interviews | Perceived rainfall flooding, extreme heat, climate change | Perceived economic inequality, educational opportunity gap | Perceived lack of affordable housing | Public transportation access, sense of place | Urban development; neoliberal growth model; displacement; urban riskscape; resilience planning; inequality; social capital; right to return |
Summary of research articles in the review including primary definition of gentrification, methods, data, and key themes.
Articles are listed in chronological order of publication date.
Results
Definitions and Mechanisms of Climate Gentrification
Beginning with Keenan et al.'s pioneering work in 2018, we identified 12 relevant articles at the time this review was conducted (Table 1). Keenan et al.'s work establishes the groundwork for the study of climate gentrification. It provides a model for “the pathways by which climate change could operate to impact geographies and property markets whose inferior or superior qualities for supporting the built environment are subject to a descriptive theory known as ‘Climate Gentrification”' (Keenan et al., ). They propose three possible pathways for climate gentrification: superior investment, resilience investment, and cost-burden (Keenan et al., ). With our review, we identify typologies of climate gentrification and how they connect to Keenan's three pathways, demonstrating how these definitions are connected within the literature (Figure 1). This allows us to highlight how the field has been evolving.
Figure 1
All of the papers that explicitly refer to climate gentrification include citations to Keenan et al. (
The remaining articles, which do not explicitly refer to “climate gentrification”, still meet the criteria of our review in that they all explore gentrification in the context of climate-related impacts or adaptation measures. We include these seven works because they can help us understand climate gentrification more broadly than the current, narrow literature. The majority of these papers fall broadly into the category of the “resilience investment” pathway of climate gentrification, in which resilience investments into a community can lead to increases in property values and gentrification outcomes (Turan,
These works are aligned with Shokry's pathway of climate gentrification through green resilience infrastructure (Shokry et al.,
Another important distinction that emerges in the literature is post-disaster gentrification. DuPuis and Greenberg (
This review also identifies an additional pathway of climate gentrification in the ways that energy efficiency, retrofitting, and low-carbon urban development can contribute to gentrification outcomes by increasing property values (Knuth,
Finally, one article included does not directly link gentrification outcomes to climate impacts or resilience efforts, but rather suggests that gentrification could be an underlying process that contributes to unequal distributions of climate impacts (Wilson and Chakraborty,
Methods and Data
Works in this review employ a range of methods and data (Table 1). Six of the papers use quantitative methods including regressions (Keenan et al.,
We are also interested in the data and indicators that these works utilize. To assess this, we looked at each article and identified what, if any, environmental, social, and housing indicators were used (Table 1). From this, we see that environmental or climate considerations most frequently include flooding in some form, whether that is elevation as a proxy for flood risk (Keenan et al.,
A wide range of social indicators were used across the articles reviewed. Five of the articles do not include any consideration of social or economic variables (Table 1). When socioeconomic indicators are included, race and income are the most frequently used. Some works also include age, education (Wilson and Chakraborty,
Key Themes
From the identification of key themes in each paper (Table 1), the concept of the neoliberal growth model, in which economic development and private interests are valued above all else, is used to describe much of the broad processes that lead to gentrification in general. As DiValli and Perkins (
As climate gentrification stems, in part, from exclusion of vulnerable groups, community engagement and the democratization of urban climate resilience planning are important additional themes that are identified. Beyond climate change exposure and risks, the literature highlights that climate mitigation and adaptation actions can be a strong contributor to gentrification, especially where local community participation is not included. Without the “local green voice” (Turan,
Finally, the themes of the right to the city and justice are prevalent in these works. Questions of who has a right to a city (especially the right to a resilient city) underlie questions of climate gentrification (DuPuis and Greenberg,
Discussion and Conceptual Framework
From Figure 1, we immediately see that Keenan et al.'s cost-burden pathway of climate gentrification is understudied (Keenan et al.,
By analyzing methods and key themes, we found that lack of participatory methods, longitudinal studies, and consideration of displacement to be a few key gaps in the climate gentrification literature. As has been discussed, where local residents have no voice in local governance, they cannot effectively advocate for their benefits, and consequently their needs can be overlooked. As an extension, research on climate gentrification should utilize participatory methods to ensure that the local voice is included. One possible example of getting engaged with the residents might be participatory mapping of residents' cultural values in a way that emphasizes knowledge co-production (Norström et al.,
Considering temporal scale, most studies either happened during a specific time (e.g., after a hurricane) or they took place in a short span of time. We suggest that longitudinal studies can be helpful to have a better understanding of the sequence of processes and can provide in-depth understanding of the issue. For example, longitudinal studies will help us to identify the possible pre-stages of gentrification and enable policy intervention. In addition, some important social concepts related to gentrification, such as poverty, are dynamic. Furthermore, climate gentrification is likely related to historic events such as red lining and racial segregation in the past that led to the current uneven distribution of higher exposure to climate risks and lower access to green infrastructure. Hence, we suggest that climate gentrification studies need to take a temporal perspective.
Displacement is one of the most important components of gentrification, but a nuanced consideration of displacement and its different forms is lacking in the climate gentrification literature. Direct displacement (due to the high prices residents can't afford to stay in neighborhood), indirect displacement/exclusionary displacement (the high prices are barrier to low income to get into the neighborhood), and finally cultural displacement (with transformation of neighborhood and services provided, the remaining older residents feel detached from the neighborhood), are examples of displacement due to gentrification (The Uproot project1) More in-depth studies with differentiation of various types of displacement are suggested for future research. To address these gaps and future challenges related to climate gentrification research, a combination of top-down methods and data (quantitative), such as remote sensing data for earth observation as well as the bottom-up methods (qualitative) such as interview and photo elicitation should be utilized.
Ultimately, this review highlights the complexity of climate gentrification as a multi-causal, multi-spatial process that involves dimensions of both natural and human systems. As climate gentrification considers both natural (climate change) and human (housing, displacement, justice, etc.) systems, we propose that it can be studied, and some of the identified gaps in the current literature may be addressed most effectively, by utilizing Coupled Human and Natural Systems (CHANS) theory (Ferraro et al.,
Figure 2

A conceptual framework of climate gentrification as a coupled human and natural system. The framework highlights the multi-spatial, multi-temporal, and multi-factored elements of climate gentrification dynamics.
Our hope is that this framework will help to inform climate gentrification research as it expands. Future research must embrace and acknowledge the complexity of climate gentrification as a CHAN in order to advance research as well as provide insights for policymakers and communities. The emerging topic of climate gentrification highlights the need to consider multiple human and natural dimensions in future climate adaptation policy. To address possible future climate gentrification, such multi-facetted policies are needed to avoid disproportionate impacts on low-income and vulnerable populations (Anguelovski et al.,
Funding
This material is based in part by work supported by the U.S. National Science Foundation under grant CNH 1716909 and by Vanderbilt University's Grand Challenge Initiative on Climate and Society.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Author contributions
All authors contributed equally to the conceptualization, development, and writing of this work.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
1.^Available online at: https://sites.utexas.edu/gentrificationproject/understanding-gentrification-and-displacement/.
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Summary
Keywords
climate change, gentrification, adaptation, housing, vulnerability
Citation
Best K and Jouzi Z (2022) Climate Gentrification: Methods, Gaps, and Framework for Future Research. Front. Clim. 4:828067. doi: 10.3389/fclim.2022.828067
Received
02 December 2021
Accepted
07 February 2022
Published
01 March 2022
Volume
4 - 2022
Edited by
Chad B. Wilsey, National Audubon Society, United States
Reviewed by
Michael McKinney, The University of Tennessee, Knoxville, United States
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© 2022 Best and Jouzi.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kelsea Best kelsea.b.best@vanderbilt.edu
This article was submitted to Climate, Ecology and People, a section of the journal Frontiers in Climate
†These authors have contributed equally to this work and share first authorship
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.