I am a doctoral student at the Centre for Policy Modelling, Manchester Metropolitan University. My current work revolves around modelling (as in agent-based modelling) certain economic and social dynamics of urban areas. I am particularly interested in exploring the impact of processes of capital valorisation – such as property investment – on the spatial and cultural configuration of cities.
I am currently working with the fine folks at LADEST Lab, University of Siena, Italy
A brief exploration of the potential of the gentaxelling model to investigate the effects of refugee influx in an urban system.
Towards an Agent-Based Simulation of Housing in Urban Beirut
Advances in agent-based modelling have led to theoretically-grounded spatial agent models of urban dynamics, capturing the dynamics of population, property prices, and regeneration. We leverage our extant agent-based model founded on the rent-gap theory, as a lens to study the effect of sizeable refugee migration in an abstracted model of a densely-populated Mediterranean city. Our exploratory work provides the foundation for calibration with real data, and offers a step towards a tool for policy makers asking what-if questions about the urban environment in the context of migration.
Presented at the 1st Workshop on Agent Based Modelling of Urban Systems (ABMUS 2016) | PDF
Two papers are out in workshop/conference proceedings.
The first presents a computational model of housing investment inspired by the great geographer Neil Smith ‘s rent-gap theory. It is one of the very few (possibly the only) models around that try to implement the principles of this theory with an entire urban area as unit of analysis. The second paper attempts a validation of the model and suggests a way to employ it to investigate the possible outcomes of urban regeneration. A specific project in Salford, England is used as a case study.
I will try and publish the code for these models, I need to render it presentable before. Here are the papers