My research addresses several substantive debates. I found that rather than emigrating for rational reasons—as neoclassical theory of migration posits—the migrants in my study tended to rationalize their reasons for emigrating through processes of cognitive dissonance. Further, where previous scholarship has tended to conflate issues of national, ethnic, and racial discrimination, I disentangle the processes that motivate discriminatory behavior by showing how seemingly innocuous references to “nationality” can be driven by a desire to hide racial prejudices, while at the same time, conflating all as “racism” can reflect a simplistic analysis of the contributing factors. I show how past historical structures of colonialism and slavery are manifest in current forms of structural violence and how this violence is differentially experienced on the basis of nationality, perceived racial differences, and/or ethnicity. Additionally, my research expands theories related to the spatial dimension of discrimination. It examines how zones of marginalization shape the experiences of low-wage migrant workers as they move through or occupy these spaces. Marginalizing zones limit workers’ access to the sociality of the city and its institutional resources, which consequently increase their vulnerability.
Individual well-being is determined by stressful events that one encounters, by personal and external sources of resilience, and by perceptions of oneself and the stressful events. For the migrants in my study, their stressors were chronic, cumulative, and ambiguous, and while they brought with them a sufficient amount of personal resilience, it was often mitigated by non-compliance and lack of enforcement of UAE laws. The result was a state of well-being defined by isolation, fear, and despair.
New quantitative sustainability indices are proposed to capture the energy system environmental impacts, economic performance, and resilience attributes, characterized by normalized environmental/health externalities, energy costs, and penalty costs respectively. A comprehensive Life Cycle Assessment is proposed which includes externalities due to emissions from different supply and demand-side energy systems specific to the regional power generation energy portfolio mix. An approach based on external costs, i.e. the monetized health and environmental impacts, was used to quantify adverse consequences associated with different energy system components.
Further, this thesis also proposes a new performance-based method for characterizing and assessing resilience of multi-functional demand-side engineered systems. Through modeling of system response to potential internal and external failures during different operational temporal periods reflective of diurnal variation in loads and services, the proposed methodology quantifies resilience of the system based on imposed penalty costs to the system stakeholders due to undelivered or interrupted services and/or non-optimal system performance.
A conceptual diagram called “Sustainability Compass” is also proposed which facilitates communicating the assessment results and allow better decision-analysis through illustration of different system attributes and trade-offs between different alternatives. The proposed methodologies have been illustrated using end-use monitored data for whole year operation of a university campus energy system.
Motivated by the need for cities to prepare and be resilient to unpredictable future weather conditions, this dissertation advances a novel infrastructure development theory of “safe-to-fail” to increase the adaptive capacity of cities to climate change. Current infrastructure development is primarily reliant on identifying probable risks to engineered systems and making infrastructure reliable to maintain its function up to a designed system capacity. However, alterations happening in the earth system (e.g., atmosphere, oceans, land, and ice) and in human systems (e.g., greenhouse gas emission, population, land-use, technology, and natural resource use) are increasing the uncertainties in weather predictions and risk calculations and making it difficult for engineered infrastructure to maintain intended design thresholds in non-stationary future. This dissertation presents a new way to develop safe-to-fail infrastructure that departs from the current practice of risk calculation and is able to manage failure consequences when unpredicted risks overwhelm engineered systems.
This dissertation 1) defines infrastructure failure, refines existing safe-to-fail theory, and compares decision considerations for safe-to-fail vs. fail-safe infrastructure development under non-stationary climate; 2) suggests an approach to integrate the estimation of infrastructure failure impacts with extreme weather risks; 3) provides a decision tool to implement resilience strategies into safe-to-fail infrastructure development; and, 4) recognizes diverse perspectives for adopting safe-to-fail theory into practice in various decision contexts.
Overall, this dissertation advances safe-to-fail theory to help guide climate adaptation decisions that consider infrastructure failure and their consequences. The results of this dissertation demonstrate an emerging need for stakeholders, including policy makers, planners, engineers, and community members, to understand an impending “infrastructure trolley problem”, where the adaptive capacity of some regions is improved at the expense of others. Safe-to-fail further engages stakeholders to bring their knowledge into the prioritization of various failure costs based on their institutional, regional, financial, and social capacity to withstand failures. This approach connects to sustainability, where city practitioners deliberately think of and include the future cost of social, environmental and economic attributes in planning and decision-making.