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Massachusetts Institute of Technology

Housing Dynamics in the Face of Shocks

Abstract

dc:description.abstract

This thesis explores housing dynamics in the context of shocks and understanding its impact on the housing sector, the well-being of communities, and the development of its citizens. It investigates the localized effect of extreme weather events on communities and individuals, the repercussions of the COVID-19 pandemic-induced eviction moratoria expiration on public health, and the influence of house flipping practices on neighborhood stability and housing affordability. This study sheds light on the critical role of housing stability in overall quality of life and societal progress, highlighting the pressing need for informed decision-making and policy formulation in the face of evolving challenges. The findings present implications for public health, climate resilience, neighborhood stability, and housing outcomes, contributing to the existing knowledge and paving the way for comprehensive housing systems that foster individual and societal well-being and prosperity.

Degree

thesis:*
Name thesis:degree_name
Doctoral
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
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sandoval Olascoaga, Sebastian
Advisor dc:contributor.advisor
  • Arcaya, Mariana C.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/152681
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/152681

Chain of custody

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

Sandoval Olascoaga, Sebastian. Housing Dynamics in the Face of Shocks. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/152681