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Massachusetts Institute of Technology

Mapping under uncertainity : spatial politics, urban development, and the future of coastal flood risk

Abstract

dc:description.abstract

Flooding is the most common and single largest source of disaster-caused property damage in the United States. The past year, 2017, was the costliest for weather and climate disasters in US history. To mitigate these losses, the Federal Emergency Management Agency and National Flood Insurance Program produce Flood Insurance Rate Maps (FIRMs) that often provide the most comprehensive and authoritative flood hazard information for a community. Despite reform efforts for greater map accuracy, spatial politics may render the computationally efficient 100- year floodplain delineation of questionable effectiveness, equity, and legitimacy for long-term land use planning. Given changing coastal flooding and sea level rise, how can risk mapping inform and improve future urban development? The dissertation: (1) positions flood mapping in the larger context of urban risk computation; (2) chronicles and statistically analyzes the nationwide map adoption process; (3) uses spatial analysis, document review, semi-structured interviews, and grounded theory to identify how these updates are proxies for nonstationary flood risk in Plymouth County, MA and New York City, NY; (4) compiles a novel survey of recent large-scale development decisionmaking in Boston, and (5) pilots a probabilistic indicator that models project-level flood risk information. I observe that the differences in location, wealth, and race between counties are associated with varying FIRM adoption process durations as well as whether a county may appeal and receive revised maps. I argue that coastal communities with sociopolitical clout can bend the process of computational risk assessment, through either contestation or collaboration over risk classification. I find the planning information shock of updated maps, however, is a largely insufficient signal to change developer behavior. Therefore, I pioneer the Future Flood Resilience Indicator (FFRI) as a decision support tool for developers to understand the long-term flood risk of their proposed development projects and planners to ascertain the impact of their policies. In conclusion, the dissertation provides policy makers with: (1) new data on how map adoption is not a purely scientific and technical process, (2) further evidence that the current 100- year flood standard is inadequate, and (3) resilience-building tools for land use planning.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Urban Studies and Planning.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wilson, Michael Thomas, Ph. D. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • Alan M. Berger.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/120237
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/120237

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Wilson, Michael Thomas, Ph. D. Massachusetts Institute of Technology. Mapping under uncertainity : spatial politics, urban development, and the future of coastal flood risk. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120237