Dr Fernando Oliveira (University of Bradford)
Using Evolutionary Algorithms to Simulate Land Use Change: The Case of Auckland
In this project we analyze land use change in Auckland. First, we used multinomial logistic regression with geographical cell-level data to analyze the determinants of land usage. We combine logistic regression with real options to explain land-use patterns. Then we use cellular automata to simulate land use change. Our study offers crucial insights for policymakers. Firstly, urbanization, public transportation, and infrastructure development are associated with declining forests and vegetation. Secondly, forests are associated with hospitals, schools, and motorways. Finally, the option value for land use change increases (decreases) with economic downturns (higher volatility). We study the case of Auckland.
Fernando Oliveira is professor of Business Analytics and Sustainability and Head of Business Analytics, Circular Economy and Entrepreneurship Department at the University of Bradford School of Management. He holds a Ph.D. in Management Science and Operations from the London Business School, an MSc in Artificial Intelligence, and a Licenciatura in Economics from the University of Porto, Portugal. Before joining the University of Bradford, Fernando was Associate Professor in Operations Management and Analytics at the Auckland Business School and Professor at ESSEC business school. He has held several visiting positions, including visiting Professor of Operations Management and Analytics at the National University of Singapore and visiting researcher at Johns Hopkins. He has received two prizes for his publications, the Prix Académique SYNTEC, and the European Journal of Operational Research best paper award. His research has been published in top international journals, including Decision Sciences, Energy Economics, European Journal of Operational Research, Informs Journal on Computing, International Journal of Production Economics, Omega, and Operations Research. He is on the International Journal of Data Science editorial board, the International Journal of Business Analytics area editor, and the associate editor of Energy Systems. His teaching and research interests are in applications of artificial intelligence to managerial problems in supply chain management and, more specifically, healthcare, energy markets, and quantitative risk management.