recovery This thesis contributes a multi-scalar recovery framework that operates as a transferable methodology. This works to not just be one site specific prescription. The work uses a four-buffer system: coastal, riparian, peri-urban, and hinterland. Which emerged from Lahaina’s specific vulnerabilities. The underlying note is, that the logic of the thesis transfers beyond just this location. Post-disaster contexts always exhibit these edge conditions where environmental forces meet built settlements. So, the buffer framework provides a diagnostic structure to re-define those edges.
If you look at the primary school design, it demonstrates how framework logic produces architecture. You can see clearly in the 26-foot module that it comes from the vernacular and proportions of a Hawaiian hale and meets modern performance requirements. It is a specific response to a specific place. Recovery frameworks that reach the building scale must make inhabitable space, not abstract diagrams. The “mat typology” is additive, porous, adaptable. It offers a formal strategy for buildings serving daily function and emergency capacity. Other recovery contexts will need different schemes and different cultural references. The contribution isn’t really the school itself. It is the proof that multi-scalar frameworks can produce coherent architecture when you pursued to conclusion.
Every place has its own indigenous knowledge systems that can inform and impact design decisions as you investigate. These systems show the place-specific links between land, water, and living there. The problem is when recovery frameworks push this knowledge aside. They often treat it like it is just “heritage” instead of operational intelligence. If they do that, they just reproduce the disconnections that produced the vulnerability in the first place. Which is something that this Thesis argues.
The systems interdependency approach is a framework of looking at recovery that goes against the usual fragmented models. In those standard models, infrastructure like housing, water infrastructure, mobility networks, and emergency services are all on fragmented tracks. You can see this separation in how we normally respond post disaster. For instance, FEMA addresses shelter while the Army Corps manages flood control. At the same time, HUD manages housing finance. The problem is that no group examines the relationships between them. This framework characterizes that systems can be analyzed separately but still designed together. So, each intervention reinforces the others instead of just competing for the limited recovery resources that are available.
The plan uses anti-displacement mechanisms, like what was done in San Francisco, Boston, and post-Katrina New Orleans. It includes items such as, 99-year deed restrictions, AMI-based housing allocation, and community land trusts. It also right-of-first refusal for displaced renters. The big difference here is that these aren’t isolated policies. Instead, they are built right into the spatial framework. Preventing displacement is a very important design parameter. The redensification zone is sized to accommodate 6,000-7,000 residents, and the densities support neighborhood-scale commerce. The node network puts essential services within walking distance. A buffer system places housing outside hazard zones but keeps the connection to coastal and riparian landscapes. Policy and design operate together as recovery instruments.
But the framework still has limitations. This framework relies on the willingness that regulatory will restrict construction in hazard zones. However, in a lot of American cities, that doesn’t happen. Also, it assumes community resilience organizations can acquire and manage land. If you look at Lahaina, the nonprofits there are still building that capacity. There is the issue of water rights. The thesis assumes these rules can be changed to prioritize the community resilience instead of big agricultural or development interests. But that political contest remains unresolved. The framework doesn’t solve these problems itself. Instead, it makes them visible so that design interventions can evolve from discussion and development.
The main contribution here is this new methodology. First, you must diagnose the vulnerabilities across multiple scales. Second, you need to organize edges as adaptive buffers. Much better to integrate systems rather than separating. Third, a network of nodes that work for daily life and emergency response. Since Lahaina’s recovery not yet complete, this framework is offered as one contribution. The hope is to educate and inform and hopefully transfer this methodology to disaster recovery across the world.
Thank you.