Jorge Gil
Associate Professor in Urban Analytics and Informatics in the Department of Architecture and Civil Enginnering, Chalmers University of Technology, Sweden. His primary research focus is on the conceptualisation and development of integrated urban models applied to digital urban planning research and practice, in the context of Smart Cities, City Information Modelling (CIM) and Urban Digital Twins. He applies data science, spatial analysis, network analysis, machine learning and visualisation methods in the domains of sustainable mobility of people and goods, social inclusion, liveability, energy transition, and circular economy. He develops GIS and geo-database solutions leveraging the potential of open data and open source, adopting an open science approach. Jorge earned in 2016 a PhD in Urbanism from the TU Delft, in 2000 a MSc in Virtual Environments from the Bartlett, UCL, and in 1996 a Bachelor in Architecture from the University of Lisbon. Jorge teaches GIS, sustainable mobility, and data science in various courses, and is involved in master and PhD supervision at Chalmers. He has taught Spatial Decision Support Systems in the MSc Geomatics at TU Delft, between 2015 and 2018. Has expertise in PostGIS, QGIS, Python, R, shell, SQL, C++, VB, javascript, VRML, 2D/3D graphics, interaction design (UI and UX).
Showing 39 publications
Simplified geodata models for integrated urban and public transport planning
A Mobility Model for Synthetic Travel Demand from Sparse Traces
Method for identifying industrial symbiosis opportunities
Feasibility of estimating travel demand using geolocations of social media data
The social dimension of barrier effects of transport infrastructure
City Information Modelling: Digital Planning for Sustainable Cities
Disparities in travel times between car and transit: Spatiotemporal patterns in cities
Missing links – Quantifying barrier effects of transport infrastructure on local accessibility
Improving GIS-based Models for Bicycling Speed Estimations
Inventing future cities by Michael Batty
Exploring the Application of Urban Form Profiles in Freight Trip Generation
Evaluating sustainable urban development using urban metabolism indicators in urban design
Introducing Spatial Variability to the Impact Significance Assessment
Street Network Studies: from Networks to Models and their Representations
Street Networks - Alternative models, measures & their merits
Modality environments: A concept for sustainability and vitality in the multi-modal city
Towards an understanding of morphogenesis in metropolitan street-networks
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Showing 16 research projects
Understanding curbside demand using big data analytics & business models - A freight perspective
Extracting amenity demand and visitation profiles from mobile phone location data
Exploratory Analysis of New Data Sources to Assess the Impact of Covid-19 on Urban Mobility
Aligning ontologies in traffic safety and urban development
Climate Neutral Urban Logistics
Using data analytics for smart loading zones management in cities
Autonomous and Connected Trucks for Electric Distribution (ACTED)
Quantification of barrier effects of transport infrastructure
Spatial Morphology Lab _ SMoL. International laboratory for comparative research in urban form