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 41 publications
Smart loading zones. A data analytics approach for loading zones network design
Simplified geodata models for integrated urban and public transport planning
Method for identifying industrial symbiosis opportunities
A Mobility Model for Synthetic Travel Demand from Sparse Traces
Feasibility of estimating travel demand using geolocations of social media data
The social dimension of barrier effects of transport infrastructure
Missing links – Quantifying barrier effects of transport infrastructure on local accessibility
City Information Modelling: Digital Planning for Sustainable Cities
Disparities in travel times between car and transit: Spatiotemporal patterns in cities
Inventing future cities by Michael Batty
Improving GIS-based Models for Bicycling Speed Estimations
Exploring the Application of Urban Form Profiles in Freight Trip Generation
Street Network Studies: from Networks to Models and their Representations
Street Networks - Alternative models, measures & their merits
Introducing Spatial Variability to the Impact Significance Assessment
Evaluating sustainable urban development using urban metabolism indicators in urban design
Towards an understanding of morphogenesis in metropolitan street-networks
Modality environments: A concept for sustainability and vitality in the multi-modal city
Download publication list
You can download this list to your computer.
Filter and download publication list
As logged in user (Chalmers employee) you find more export functions in MyResearch.
You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:
Zotero Connector
Mendeley Web Importer
The service SwePub offers export of contents from Research in other formats, such as Harvard and Oxford in .RIS, BibTex and RefWorks format.
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