How to cope with air transport disruptions: airport airside resilience and vulnerability

The efficiency of airport airside operations is often compromised by unplanned disruptive events of different kinds, such as bad weather, strikes or technical failures, which negatively influence the punctuality and regularity of operations, causing serious delays and unexpected congestion. They may provoke important impacts and economic losses on passengers, airlines and airport operators, and consequences may propagate in the air network throughout different airports. In order to identify strategies to cope with such events and minimize their impacts, it is crucial to understand how disruptive events affect airports’ performance. The research field related with the risk of severe air transport network disruptions and their impact on society is related to the concepts of vulnerability and resilience. The main objective of this project is to provide a framework that allows to evaluate performance losses and consequences due to unexpected disruptions affecting airport airside operations, supporting the development of a methodology for estimating vulnerability and resilience indicators for airport airside operations. The methodology proposed comprises three phases. In the first phase, airside operations are modelled in both the baseline and disrupted scenarios. The model includes all main airside processes and takes into consideration the uncertainties and dynamics of the system. In the second phase, the model is implemented by using a generic simulation software, AnyLogic. Vulnerability is evaluated by taking into consideration the costs related to flight delays, cancellations and diversions; resilience is determined as a function of the loss of capacity during the entire period of disruption. In the third phase, a Bayesian Network is built in which uncertain variables refer to airport characteristics and disruption type. The Bayesian Network expresses the conditional dependence among these variables and allows to predict the impacts of disruptions on an airside system, determining the elements which influence the system resilience the most.

Escaping the debt trap: peripheral countries in prolonged debt crises and how to exit

This thesis is an interdisciplinary piece of academic research, situated within Critical Theory but engaging with other disciplines, mainly Political Economy and Politics, to tackle the topic at hand; sovereign debt crises. The thesis deals with the Problem of Debt and, more specifically, the Problem of Prolonged Sovereign Debt Crises, which is described in this thesis as the phenomenon of the “Debt Trap”. The specific question that will occupy us in this thesis is why countries appear unable to exit these prolonged debt crises. By exiting a debt crisis, we mean here a state of affairs in which a country has managed to render its debt sustainable, regain its democratic sovereignty, achieve economic recovery and, what is more, mitigate adverse effects of the crisis, especially in what human development, social inequality and poverty rates are concerned. This question is tackled through the use of an interdisciplinary approach that combines critical theory perspectives -which are grouped in two paradigms, the Subjectivity paradigm and the genealogies of Capitalism paradigm- with financialisation literature. The purpose is to form an interdisciplinary intellectual framework that will allow us to analyse with a critical perspective the two case studies of the Greek crisis from 2009 to 2015 and the Argentinean crisis from 1983 to 2005. The aim of the thesis is to develop a theoretical framework that allows us to deconstruct the various ideological approaches to these two particular cases of Debt traps, including neoclassical and neoliberal approaches, Conservative and Keynesian approaches and uncover the political, economic and class relation that underpin the prolonged crises that the two countries have experienced.

Operational research applied to regional healthcare system

In this thesis we focus on optimization and simulation techniques applied to solve strategic, tactical and operational problems rising in the healthcare sector. At first we present three applications to Emilia-Romagna Public Health System (SSR) developed in collaboration with Agenzia Sanitaria e Sociale dell'Emilia-Romagna (ASSR), a regional center for innovation and improvement in health. Agenzia launched a strategic campaign aimed at introducing Operations Research techniques as decision making tools to support technological and organizational innovations. The three applications focus on forecast and fund allocation of medical specialty positions, breast screening program extension and operating theater planning. The case studies exploit the potential of combinatorial optimization, discrete event simulation and system dynamics techniques to solve resource constrained problem arising within Emilia-Romagna territory. We then present an application in collaboration with Dipartimento di Epidemiologia del Lazio that focuses on population demand of service allocation to regional emergency departments. Finally, a simulation-optimization approach, developed in collaboration with INESC TECH center of Porto, to evaluate matching policies for the kidney exchange problem is discussed.