Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale
As climate change increases flood risk, there is growing recognition that the multiple plans cities adopt often work at cross purposes and encourage development in areas at risk of current and future flooding. There have been calls for a more coordinated approach to planning for current and future f...
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doaj-beb3838c69fa42e1bde4ed8284d2d41d2021-09-09T04:27:52ZengElsevierClimate Risk Management2212-09632021-01-0134100354Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort LauderdaleSierra Woodruff0Sara Meerow1Philip Gilbertson2Bryce Hannibal3Melina Matos4Malini Roy5Matthew Malecha6Siyu Yu7Phil Berke8Texas A&M University, Landscape Architecture and Urban PlanningArizona State University, School of Geographical Sciences and Urban Planning; Corresponding author.Arizona State University, School of Geographical Sciences and Urban PlanningU.S. Census Bureau, 4600 Silver Hill Rd Suitland, MD 20746, United StatesTexas A&M University, Landscape Architecture and Urban PlanningTexas A&M University, Landscape Architecture and Urban PlanningTexas A&M University, Landscape Architecture and Urban PlanningTexas A&M University, Landscape Architecture and Urban PlanningUniversity of North Carolina, Department of City & Regional Planning, and Institute for the EnvironmentAs climate change increases flood risk, there is growing recognition that the multiple plans cities adopt often work at cross purposes and encourage development in areas at risk of current and future flooding. There have been calls for a more coordinated approach to planning for current and future flood risks, but is planning rising to the challenge? We apply the Plan Integration for Resilience Scorecard (PIRS) methodology to spatially evaluate policies that would impact physical vulnerability to flooding in the network of different city plans that shape land use and steer development in Boston, MA and Fort Lauderdale, FL. Unlike previous applications of this approach, we look at how the plan network is changing over time. Between 2015 and 2019, attention on climate change grew in both cities, as did the number of plans and policies across the network with the potential to decrease physical vulnerability. New types of plans, such as climate change adaptation plans, play an important role in reducing flood risks. However, plans perpetuate past disparities in policy attention. As the first study to analyze how city networks of plans and their potential impact on resilience evolve over time, this work has important implications for planning scholarship and practice as well as hazard and climate change governance more broadly.http://www.sciencedirect.com/science/article/pii/S2212096321000838FloodingSea Level RiseNetwork of plansLongitudinalPlan Integration for Resilience ScorecardResilience |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sierra Woodruff Sara Meerow Philip Gilbertson Bryce Hannibal Melina Matos Malini Roy Matthew Malecha Siyu Yu Phil Berke |
spellingShingle |
Sierra Woodruff Sara Meerow Philip Gilbertson Bryce Hannibal Melina Matos Malini Roy Matthew Malecha Siyu Yu Phil Berke Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale Climate Risk Management Flooding Sea Level Rise Network of plans Longitudinal Plan Integration for Resilience Scorecard Resilience |
author_facet |
Sierra Woodruff Sara Meerow Philip Gilbertson Bryce Hannibal Melina Matos Malini Roy Matthew Malecha Siyu Yu Phil Berke |
author_sort |
Sierra Woodruff |
title |
Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale |
title_short |
Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale |
title_full |
Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale |
title_fullStr |
Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale |
title_full_unstemmed |
Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale |
title_sort |
is flood resilience planning improving? a longitudinal analysis of networks of plans in boston and fort lauderdale |
publisher |
Elsevier |
series |
Climate Risk Management |
issn |
2212-0963 |
publishDate |
2021-01-01 |
description |
As climate change increases flood risk, there is growing recognition that the multiple plans cities adopt often work at cross purposes and encourage development in areas at risk of current and future flooding. There have been calls for a more coordinated approach to planning for current and future flood risks, but is planning rising to the challenge? We apply the Plan Integration for Resilience Scorecard (PIRS) methodology to spatially evaluate policies that would impact physical vulnerability to flooding in the network of different city plans that shape land use and steer development in Boston, MA and Fort Lauderdale, FL. Unlike previous applications of this approach, we look at how the plan network is changing over time. Between 2015 and 2019, attention on climate change grew in both cities, as did the number of plans and policies across the network with the potential to decrease physical vulnerability. New types of plans, such as climate change adaptation plans, play an important role in reducing flood risks. However, plans perpetuate past disparities in policy attention. As the first study to analyze how city networks of plans and their potential impact on resilience evolve over time, this work has important implications for planning scholarship and practice as well as hazard and climate change governance more broadly. |
topic |
Flooding Sea Level Rise Network of plans Longitudinal Plan Integration for Resilience Scorecard Resilience |
url |
http://www.sciencedirect.com/science/article/pii/S2212096321000838 |
work_keys_str_mv |
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