{"title":"评估城市气候适应能力的本地成本:金融区和海港气候适应能力总体规划分析","authors":"Caroline Welter, Daniel Centuriao","doi":"10.1016/j.pirs.2025.100110","DOIUrl":null,"url":null,"abstract":"<div><div>Cities worldwide face increasing challenges in adapting to the devastating effects of severe weather events, including flooding, hurricanes, and rising temperatures. New York City, severely impacted by Hurricane Sandy in 2012, has developed the Financial District and Seaport Climate Resilience Master Plan (FiDi) as part of its effort to enhance climate resilience in Lower Manhattan. This study evaluates the local economic, environmental, and fiscal impacts of implementing this plan, which represents a US$5 to US$7 billion investment over 10 to 15 years. Using a multi-regional input–output (MRIO) modeling approach, we capture the economic interactions between Lower Manhattan and other New York City boroughs, as well as spillover effects across New York State. We address the substantial uncertainties surrounding the plan’s execution by integrating the S-curve framework to simulate financial disbursement patterns over time. This framework allows for periodic cost–benefit analysis. Our results indicate that the FiDi plan might generate significant net economic benefits, though concentrated environmental impacts occur during specific implementation phases. Tax revenue effects reveal opportunities for enhanced coordination among federal, state, and local governments to support urban resilience initiatives. This research contributes to the literature by demonstrating the utility of combining MRIO modeling with the S-curve framework to address financial uncertainties and assess large-scale infrastructure projects before their implementation. It also offers a replicable framework for ex-ante simulation of the economic and environmental trade-offs of climate resilience projects in cities globally.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 5","pages":"Article 100110"},"PeriodicalIF":2.3000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the local cost of urban climate resilience: An analysis of the Financial District and Seaport Climate Resilience (FiDi) Master Plan\",\"authors\":\"Caroline Welter, Daniel Centuriao\",\"doi\":\"10.1016/j.pirs.2025.100110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cities worldwide face increasing challenges in adapting to the devastating effects of severe weather events, including flooding, hurricanes, and rising temperatures. New York City, severely impacted by Hurricane Sandy in 2012, has developed the Financial District and Seaport Climate Resilience Master Plan (FiDi) as part of its effort to enhance climate resilience in Lower Manhattan. This study evaluates the local economic, environmental, and fiscal impacts of implementing this plan, which represents a US$5 to US$7 billion investment over 10 to 15 years. Using a multi-regional input–output (MRIO) modeling approach, we capture the economic interactions between Lower Manhattan and other New York City boroughs, as well as spillover effects across New York State. We address the substantial uncertainties surrounding the plan’s execution by integrating the S-curve framework to simulate financial disbursement patterns over time. This framework allows for periodic cost–benefit analysis. Our results indicate that the FiDi plan might generate significant net economic benefits, though concentrated environmental impacts occur during specific implementation phases. Tax revenue effects reveal opportunities for enhanced coordination among federal, state, and local governments to support urban resilience initiatives. This research contributes to the literature by demonstrating the utility of combining MRIO modeling with the S-curve framework to address financial uncertainties and assess large-scale infrastructure projects before their implementation. It also offers a replicable framework for ex-ante simulation of the economic and environmental trade-offs of climate resilience projects in cities globally.</div></div>\",\"PeriodicalId\":51458,\"journal\":{\"name\":\"Papers in Regional Science\",\"volume\":\"104 5\",\"pages\":\"Article 100110\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Papers in Regional Science\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1056819025000326\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Papers in Regional Science","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1056819025000326","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
Assessing the local cost of urban climate resilience: An analysis of the Financial District and Seaport Climate Resilience (FiDi) Master Plan
Cities worldwide face increasing challenges in adapting to the devastating effects of severe weather events, including flooding, hurricanes, and rising temperatures. New York City, severely impacted by Hurricane Sandy in 2012, has developed the Financial District and Seaport Climate Resilience Master Plan (FiDi) as part of its effort to enhance climate resilience in Lower Manhattan. This study evaluates the local economic, environmental, and fiscal impacts of implementing this plan, which represents a US$5 to US$7 billion investment over 10 to 15 years. Using a multi-regional input–output (MRIO) modeling approach, we capture the economic interactions between Lower Manhattan and other New York City boroughs, as well as spillover effects across New York State. We address the substantial uncertainties surrounding the plan’s execution by integrating the S-curve framework to simulate financial disbursement patterns over time. This framework allows for periodic cost–benefit analysis. Our results indicate that the FiDi plan might generate significant net economic benefits, though concentrated environmental impacts occur during specific implementation phases. Tax revenue effects reveal opportunities for enhanced coordination among federal, state, and local governments to support urban resilience initiatives. This research contributes to the literature by demonstrating the utility of combining MRIO modeling with the S-curve framework to address financial uncertainties and assess large-scale infrastructure projects before their implementation. It also offers a replicable framework for ex-ante simulation of the economic and environmental trade-offs of climate resilience projects in cities globally.
期刊介绍:
Regional Science is the official journal of the Regional Science Association International. It encourages high quality scholarship on a broad range of topics in the field of regional science. These topics include, but are not limited to, behavioral modeling of location, transportation, and migration decisions, land use and urban development, interindustry analysis, environmental and ecological analysis, resource management, urban and regional policy analysis, geographical information systems, and spatial statistics. The journal publishes papers that make a new contribution to the theory, methods and models related to urban and regional (or spatial) matters.