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Author: AldoCanfora

research/index.md

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 # Research Activities at the City Science Lab
 
-- Network theory and random walks
+- Network theory and random walks<br>
 We study the dynamics of complex networks using random walk models to explore node connectivity, community structure, and diffusion processes. Applications include urban infrastructure, mobility systems, and energy distribution.
 
-- Urban vehicular mobility modeling for Bologna
+- Urban vehicular mobility modeling for Bologna<br>
 We develop large-scale simulations of traffic flow across Bologna’s street network to forecast congestion patterns and optimize traffic lights and routing strategies. The model integrates real traffic data and adaptive control mechanisms to improve urban mobility efficiency.
 
-- Railway delay prediction using Italian train data
+- Railway delay prediction using Italian train data<br>
 We analyze national train schedules and historical delay records to build predictive models of late arrivals. Machine learning techniques and network-based metrics are used to identify systemic issues and improve schedule reliability.
 
-- Building energy simulation and classification
+- Building energy simulation and classification<br>
 We simulate energy consumption for the buildings in Bologna based on their geometry and age. The output is used to map the city’s most energy-demanding and polluting zones, supporting decarbonization strategies and policy-making.
 
-- Urban vegetation analysis with LiDAR data
+- Urban vegetation analysis with LiDAR data<br>
 We extract information on urban trees using airborne LiDAR, including segmentation of individual trees and updates of tree features such as height and crown radius. This helps maintain accurate vegetation inventories and assess urban green coverage.
 
-- Urban Heat Island (UHI) analysis with SVF and morphology parameters
+- Urban Heat Island (UHI) analysis with SVF and morphology parameters<br>
 We study the urban heat island effect using spatial variables like Sky View Factor (SVF). The aim is to understand microclimate variation across urban zones and identify heat-vulnerable areas for climate adaptation planning.