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作者

Marco Tedesco;Jesse M. Keenan;Carolynne Hultquist

来源

CITIES,Vol.131,Issue1,Article 103991

语言

英文

关键字

Climate change;Housing;Climate gentrification;Displacement;Vulnerability;Real estate

作者单位

Lamont-Doherty Earth Observatory, Columbia University, New York, NY, USA;NASA Goddard Institute of Space Studies, NASA GISS, NY, USA;School of Architecture, Tulane University, New Orleans, LA, USA;Oxford Sustainable Finance Group, Smith School of Enterprise and the Environment, Oxford University, Oxford, UK;Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Columbia University, New York, NY, USA;School of Earth and Environment, University of Canterbury, Christchurch, New Zealand;Lamont-Doherty Earth Observatory, Columbia University, New York, NY, USA;NASA Goddard Institute of Space Studies, NASA GISS, NY, USA;School of Architecture, Tulane University, New Orleans, LA, USA;Oxford Sustainable Finance Group, Smith School of Enterprise and the Environment, Oxford University, Oxford, UK;Center for International Earth Science Information Network (CIESIN), Columbia Climate School, Columbia University, New York, NY, USA;School of Earth and Environment, University of Canterbury, Christchurch, New Zealand

摘要

This article introduces an experimental methodology to identify proxy indicators that are conceptually consistent with the processes of Climate Gentrification (“CG”), in which a change in demand preferences among consumers and investors drives the increased consumption for real estate, in part, on lower measures of physical risk from climate change. Evaluated through case studies in the state of Florida, this article builds on the integration of multiple datasets concerning rental properties, evictions, and socioeconomic data, as well as environmental risk indices to build a Climate Gentrification Risk Index (CGRI). In the Miami case study, we find that the CGRI identifies a hotly contested neighborhood that is already known to be in a state of transition consistent with the processes of CG. In the Tampa case, the index highlights a district that exhibits strong metrics for the future accelerated occurrence of CG. Our findings suggest that transitional land uses and flexible zoning in low-exposure areas are key elements for attracting new development consistent with CG and offer insight into the challenges that local governments face understanding the types and rates of change that may be catalyzed in the broader urban processes of public and private sector climate adaptation in the built environment.