Skip to Main Content
MIT Press Direct, home
header search
Search
Advanced Search
Skip Nav Destination
The Equitably Resilient City: Solidarities and Struggles in the Face of Climate Crisis
Urban and Industrial Environments
The Equitably Resilient City: Solidarities and Struggles in the Face of Climate Crisis
By
Zachary B. Lamb
Zachary B. Lamb

Zachary B. Lamb is Assistant Professor in the Department of City and Regional Planning at the University of California, Berkeley. His research investigates how urban design and planning shape uneven vulnerability and adaptation to climate change.

Search for other works by this author on:
This Site
Google Scholar
Lawrence J. Vale
Lawrence J. Vale

Lawrence J. Vale is Associate Dean and Ford Professor of Urban Design and Planning in the Department of Urban Studies and Planning at the Massachusetts Institute of Technology. He is best known for Architecture, Power, and National Identity and the coedited volume The Resilient City.

Search for other works by this author on:
This Site
Google Scholar
The MIT Press
DOI:
https://doi.org/10.7551/mitpress/14961.001.0001
ISBN electronic:
9780262380959
Publication date:
2024
Book Chapter

Case 10. Thunder Valley: Regenerating Self-Sovereignty on the Pine Ridge Reservation

Doi:
https://doi.org/10.7551/mitpress/14961.003.0024
  • Published:
    2024
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License
The open access edition of this book was made possible by generous funding and support from MIT, and UC Berkeley, and MIT Press Direct to Open
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License .
Attribution-NonCommercial-NoDerivatives
This content is PDF only. Please click on the PDF icon to access.
A product of The MIT Press
Newsletter sign up

MIT Press Direct

Information

MIT Press

Contact Us

© 2024 The MIT Press
Close Modal
This Feature Is Available To Subscribers Only

or Create an Account

Close Modal
Close Modal
This site uses cookies. By continuing to use our website, you are agreeing to our privacy policy. No content on this site may be used to train artificial intelligence systems without permission in writing from the MIT Press.
Accept