Jorge Gil
Associate Professor in Urban Analytics and Informatics at the Department of Architecture and Civil Enginnering. 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. These are applied 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 with a user centred approach, including spatial analysis, network analysis, machine learning and visualisation methods. The research follows an open science approach leveraging the potential of open data and, open source, and open access.
Jorge teaches GIS, sustainable mobility, and spatial data science in various courses, and is involved in Bachelor, Masters and PhD supervision.
Showing 51 publications
Socio-spatial segregation and human mobility: A review of empirical evidence
Activity-based simulations for neighbourhood planning towards social-spatial equity
The Uneven Impact of Mobility on the Segregation of Native and Foreign-born Individuals
Smart loading zones. A data analytics approach for loading zones network design
Inequalities in the potential movement of social groups: A network-based indicator
Exploring Urban Scenarios with an Agent-Based Model to Assess Residential Waste Sorting
Redefining urban digital twins for the federated data spaces ecosystem: A perspective
Simplified geodata models for integrated urban and public transport planning
A Mobility Model for Synthetic Travel Demand from Sparse Traces
Feasibility of estimating travel demand using geolocations of social media data
Method for identifying industrial symbiosis opportunities
Missing links – Quantifying barrier effects of transport infrastructure on local accessibility
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
PEDESTRIAN STUDY AT CHALMERS. PEDESTRIAN MOVEMENT AND CO-PRESENCE AT CAMPUS JOHANNEBERG
Inventing future cities by Michael Batty
Improving GIS-based Models for Bicycling Speed Estimations
Street Network Studies: from Networks to Models and their Representations
Exploring the Application of Urban Form Profiles in Freight Trip Generation
Street Networks - Alternative models, measures & their merits
Evaluating sustainable urban development using urban metabolism indicators in urban design
Introducing Spatial Variability to the Impact Significance Assessment
Towards an understanding of morphogenesis in metropolitan street-networks
Modality environments: A concept for sustainability and vitality in the multi-modal city
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Showing 22 research projects
LogiNets: Extracting Logistics Network Flows from Mobile Phone Geolocations for Strategic Planning
FlowSense: High-Resolution Empirical Traffic Flow Data for Research and Decision Making
Connected Transport Data (TREND)
Data-driven planning of transport consumption and promotion of micromobility
Prototype of sustainable accessibility index tool for municipalities
SamLab – Samverkan för genomförande av kommunal klimatanpassning genom policylabb
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