ABSTRACT:
Monad explores the possibility of using fragmented post-disaster funding to support a cohesive modular architectural system that addresses immediate recovery needs while maintaining value for future reuse.Focusing on the earthquake vulnerability of Istanbul, the thesis links the economics of recovery with the technical development and application of a pre-existing prototype measuring 2.55 × 5.10 m. Through a comparative analysis of recovery spending, funding responsibilities, and industry outcomes, a foundation is established for evaluating affordability and potential financing strategies.Lessons learned from the 1999 Marmara earthquake are applied to a projected scenario in Istanbul, converting expected disruptions in housing and services into specific design requirements.The current unit is assessed based on cost, building performance, production, distribution, and deployment criteria.Clear measurable goals direct its improvement and provide a means to evaluate the enhancements made. Lastly, the thesis investigates the circumstances under which the system could be adapted for educational, agricultural, healthcare, cultural, industrial, and tourism purposes.The goal is to create a revised unit and implementation plan, backed by an evaluation framework that connects emergency response to the ongoing usefulness of architecture beyond the disaster.
A. Metric Analysis:
1. Emergency Fund Allocation with respect to different type amenities and the recuperation analysis: These themes could also be dissected in a meaningful way to decrease the number of variables shown by each type of graph.
* 1.1. Analysis and graph representation of the quantity of fund allocation BY THE GOVERNMENTS (ranked by GDP) per person with respect to different amenities after different types of disasters marked by their capacity of destruction in terms of the damage done measured by the costs of recuperation or how many units of habitation became non usable.
* 1.2. Analysis and graph representation of the quantity of fund allocation BY THE MUNICIPALITIES (ranked by GDP or production capacity of the given city) per person with respect to different amenities after different types of disasters marked by their capacity of destruction in terms of the damage done measured by the costs of recuperation or how many units of habitation became non usable.
* 1.3. Beneficiary (Corporate) Analysis: (A. Disaster amplitude vs. Money spent, B. Disaster amplitude vs. Money made (by top 3 beneficiaries), C. Disaster amplitude vs. Number of jobs created, D. Number of jobs created vs. Number of jobs lasted over 3 years, E. Disaster amplitude vs. Taxes paid) vs. GDP for EACH INDUSTRY (energy, housing, food and etc.)
* 1.4. Based on: (A. Disaster amplitude vs. Money spent) vs. GDP for EACH INDUSTRY (energy, housing, food and etc.) a discussion: “To which extent expenditures could be channeled to a unified solution as a single unit of architecture?” is addressed and qualitative tools are further elaborated to understand how to conduct such measurements and expressing the concept of extent with the same basis of quantitative language.
* 1.5. Sketching the solution and asking: 1.5.1. What could be the estimated allowed max. cost of such solution per unit or per person with an assumption on how many people in average can share a unit of: 2.55 x 5.1 m.? 1.5.2. Who will pay which percentage of it? 1.5.3. What will be the business model?
B. the Context: Istanbul:
1. 1999 Earthquake detailed analysis
* 1.1. Analysis and graph representation of Number of losses: 1.1.1. Lives and damages that prevent a person from working for over a year, 1.1.2. Houses beyond recuperation by an estimated number of people occupying each unit (whether apartment or flat), 1.1.3. Infrastructure: The amount of water, electricity, gas distributed and consumed per day in the City vs. daily loss in consumption for the next 365 days after the disaster, and the economic loss analysis due to damage and absence of proper consumption. 1.1.4. Transportation: The amount of km done by each and every main transportation means in the city a day and and the total revenue as well as the profit obtained from each means, their share among stake holders and municipalities on a daily basis vs. daily loss in consumption for the next 365 days after the disaster, and the economic loss analysis due to damage and absence of proper consumption.
* 1.2. Anticipated Earthquake detailed simulation analysis: This part will repeat the one above with respect to the first terms of the comparison couples which will represent the current numbers of the city Istanbul belonging to year 2026 second terms being the estimated number (Estimated number suggestion will be backed by a novel -dedicated- calculation method which will be discussed in the beginning of the section).
C. the Analysis of the existing Unit:
1. Cost Analysis of the EXISTING unit: material cost of each part, production cost with estimates on labour and the production site (Estimated number suggestion will be backed by a novel -dedicated- calculation method which will be discussed in the beginning of the section).
2. Performance analysis of the EXISTING unit:
* 2.1. Structural performance
* 2.2. Thermal performance
* 2.3. Moisture performance
* 2.4. Energy performance
* 2.5. Ventilation and indoor air quality
* 2.6. Fire and life safety
* 2.7. Durability and weather tightness.
3. Use cases within a single unit and combination alternatives.
D. Constraints of the Existing Unit and Updates on the Unit:
1. Critic of the existing unit with respect to the context of immediate post-disaster (earthquake) in Istanbul mainly on basis of its production (the costs, the labour), the distribution and deployment (on the site or sites) constraints.
2. Optimization Vectors: What is the aimed numeric goal with respect to building performance parameters of the unit or of a depicted combination(s) and cost, distribution and deployment convenience vs. how far each current value of a given parameter is away from that cartesian point represented goal as a vector (point).
3. Updates on the Unit and Execution:
* 3.1. the Finalized Unit
* 3.2. Production Plan
* 3.3. Distribution Plan
* 3.4. Deployment Plan
4. Final evaluation of the Optimization Vectors and where they end up to be, an open analysis and an expression of the improvements.
E. Post Disaster Period of the unit and Repurposing it:
1. Possible scenarios for REPURPOSING and a qualitative research on contextual parameters which the possible scenarios depend on.
2. Further evaluation of the possible scenarios and a presentation of each sample belonging to a use case for each distinct industry (as an embodiment of the required principles for each use case):
* 2.1. Monad for Education
* 2.2. Monad for Agriculture
* 2.3. Monad for Health
* 2.4. Monad for Culture
* 2.5. Monad for Industrial Production
* 2.6. Monad for Tourism