Jorge Gil
Biographic Data
| ID | 3707740 |
|---|---|
| NAME | Jorge Gil |
| GIVEN NAMES | Jorge |
| FAMILY NAME | Gil |
| SIGNATURE | GIL J |
| AFFILIATIONS | Chalmers University of Technology |
| ORCID | 0000-0001-6671-2578 |
| VERIFIED | Yes |
| TOTAL WORKS | 18 |
| TOTAL CITATIONS | 19 |
| AUTHOR COUNT | 18 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1993 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Redefining urban digital twins for the federated data spaces ecosystem: A perspective
Urban Digital Twins (UDTs) promise to facilitate the transition to a smarter planning and decision-making process, but they face many challenges to meet stakeholders’ expectations and to support delivering a better living environment for citizens. Their full potential can only be reached through more flexible sharing and integration of data and data models. From this perspective, we argue that UDTs can be realised in an ecosystem of data spaces t…
Where if? Using spatial, building-stock-driven simulations to explore construction circularity strategies in Gothenburg, Sweden
Recycling construction materials can significantly reduce the environmental impact of the construction and demolition sector. However, implementing circularity strategies requires a spatially refined understanding of material stock dynamics. This study introduces a stock-driven and rule-based simulation that forecasts – over space and time – material stocks, flows, and associated embodied carbon resulting from construction, renovation, and demoli…
Socio-spatial segregation and human mobility: A review of empirical evidence
Socio-spatial segregation is the physical separation of different social, economic, or demographic groups within a geographic space, often resulting in unequal access to resources, services, and opportunities. The literature has traditionally focused on residential segregation , examining how individuals' residential locations are distributed differently across neighborhoods based on various social attributes, e.g., race, ethnicity, and income. H…
Activity-based simulations for neighbourhood planning towards social-spatial equity
Urban planners use static analysis techniques like network and proximity analysis to evaluate a neighbourhood's accessibility. However, these techniques do not adequately capture the distributional effects of accessibility on individuals. This paper introduces an activity-based model that simulates residents' daily activities to assess the distributional effects of the built environment (BE) on their accessibility. The model consists of a pipelin…
Downstream impacts of the Madeira Hydroelectric Complex on várzea traditional agriculture and extractivism
Hydropower development in the Amazon has accelerated under public and private incentives, aiming to promote economic growth, environmental conservation, renewable energy, and social equity within a sustainable development agenda. However, recent studies show significant negative impacts on local communities and ecosystems, raising concerns about hydropower’s true contribution to sustainability. Despite increasing awareness, research has largely o…
Inequalities in the potential movement of social groups: A network-based indicator
Accessibility and mobility are key concerns of sustainable cities, especially in the Global South, due to the strong social inequalities. This paper contributes to the literature on mobility segregation by focusing on the potential movement of social groups in the city. We conceptualize potential movement as a network centrality, acting as an indicator of population movement when performing daily activities (working, studying, shopping, etc.). Th…
Evaluating the impact of social housing policies: Measuring accessibility changes when individuals move to social housing projects
Addressing housing deficits and inequalities remains a key challenge for cities in promoting more sustainable urban development. In response to these challenges, governments around the world, particularly in the Global South, have made substantial investments in housing policies for middle- and low-income individuals. Nevertheless, while these initiatives increase housing provision, they often face criticism for not adequately considering the loc…
From territorial capital to regional design: A multidimensional model for territorial analysis and scenario evaluation
Territorial capital is a policy concept that emphasizes the endogenous development and regional competitiveness of particular territories, calling for place-based territorial approaches and greater convergence between spatial planning and regional development policies. However, spatial thinking and imaging are still missing when this concept is applied. This paper introduces a multidimensional assessment model that foregrounds the spatial dimensi…
Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation
Understanding the mode substitution of shared micro-mobility systems is essential for assessing their societal and environmental impact and developing improvement planning instruments. This study carries out a fine-grained analysis of the mode substitution of dockless bike sharing (DLBS) in relation to other transport modes at the trip level, leveraging multi-modal route planning techniques , transaction data of bike-sharing, and travel behavior …
Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility
Understanding the usage demand of shared mobility systems in different areas of a city and its determinants is crucial for planning, operation and management of the systems. This study leverages an unbiased data-driven approach called accumulated effect analysis for examining the complex (nonlinear and interactive) effects of correlated built environment factors on the usage of shared mobility. Special research emphasis is given to unraveling the…
Combining environmental and social dimensions in the typomorphological study of urban resilience to heat stress
Feasibility of estimating travel demand using geolocations of social media data
Travel demand estimation, as represented by an origin–destination (OD) matrix, is essential for urban planning and management. Compared to data typically used in travel demand estimation, the key strengths of social media data are that they are low-cost, abundant, available in real-time, and free of geographical partition. However, the data also have significant limitations: population and behavioural biases, and lack of important information suc…
The spatial distribution and frequency of street, plot and building types across five European cities
Typologies have always played an important role in urban planning and design practice and formal studies have been central to the field of urban morphology. These studies have predominantly been of a historical-qualitative nature and do not support quantitative comparisons between urban areas and between different cities, nor offer the precise and comprehensive descriptions needed by those engaged in urban planning and design practice. To describ…
Street network analysis “edge effects”: Examining the sensitivity of centrality measures to boundary conditions
With increased interest in the use of network analysis to study the urban and regional environment, it is important to understand the sensitivity of centrality analysis results to the so-called “edge effect”. Most street network models have artificial boundaries, and there are principles that can be applied to minimise or eliminate the effect of the boundary condition. However, the extent of this impact has not been systematically studied and rem…
Towards an understanding of morphogenesis in metropolitan street-networks
We propose a GIS-based method to enable the understanding of how global street-network properties emerge from the temporal accumulation of individual street-network increments. The method entails the adoption of quantitative descriptions of individual street-patterns and of classification algorithms, in order to obtain numerically defined typomorphologies, which may then be statistically associated with the numerical outputs of street-network ana…
Urban Modality
This thesis proposes a framework for evaluating the mobility potential and performance of urban areas in the city region, as an instrument to support urban development that contributes positively to regional sustainable mobility objectives. The research takes a quantitative approach, modelling and measuring the characteristics of a city-region and of its individual urban areas, in terms of travel patterns and socioeconomic characteristics of the …
On the discovery of urban typologies: Data mining the many dimensions of urban form
The use of typomorphology as a means of understanding urban areas has a long tradition amongst academics but the reach of these methods into urban design practice has been limited. In this paper we present a method to support the description and prescription of urban form that is contextsensitive, multi-dimensional, systematic, exploratory, and quantitative, thus facilitating the application of urban typomorphology to planning practice. At the co…
La red de poder mexicana. El caso de Miguel Alemán
On the discovery of urban typologies: Data mining the many dimensions of urban form
The use of typomorphology as a means of understanding urban areas has a long tradition amongst academics but the reach of these methods into urban design practice has been limited. In this paper we present a method to support the description and prescription of urban form that is contextsensitive, multi-dimensional, systematic, exploratory, and quantitative, thus facilitating the application of urban typomorphology to planning practice. At the co…
Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility
Understanding the usage demand of shared mobility systems in different areas of a city and its determinants is crucial for planning, operation and management of the systems. This study leverages an unbiased data-driven approach called accumulated effect analysis for examining the complex (nonlinear and interactive) effects of correlated built environment factors on the usage of shared mobility. Special research emphasis is given to unraveling the…
La red de poder mexicana. El caso de Miguel Alemán
La red de poder mexicana. El caso de Miguel Alemán
On the discovery of urban typologies: Data mining the many dimensions of urban form
The use of typomorphology as a means of understanding urban areas has a long tradition amongst academics but the reach of these methods into urban design practice has been limited. In this paper we present a method to support the description and prescription of urban form that is contextsensitive, multi-dimensional, systematic, exploratory, and quantitative, thus facilitating the application of urban typomorphology to planning practice. At the co…
Urban Modality
This thesis proposes a framework for evaluating the mobility potential and performance of urban areas in the city region, as an instrument to support urban development that contributes positively to regional sustainable mobility objectives. The research takes a quantitative approach, modelling and measuring the characteristics of a city-region and of its individual urban areas, in terms of travel patterns and socioeconomic characteristics of the …
Street network analysis “edge effects”: Examining the sensitivity of centrality measures to boundary conditions
With increased interest in the use of network analysis to study the urban and regional environment, it is important to understand the sensitivity of centrality analysis results to the so-called “edge effect”. Most street network models have artificial boundaries, and there are principles that can be applied to minimise or eliminate the effect of the boundary condition. However, the extent of this impact has not been systematically studied and rem…
Towards an understanding of morphogenesis in metropolitan street-networks
We propose a GIS-based method to enable the understanding of how global street-network properties emerge from the temporal accumulation of individual street-network increments. The method entails the adoption of quantitative descriptions of individual street-patterns and of classification algorithms, in order to obtain numerically defined typomorphologies, which may then be statistically associated with the numerical outputs of street-network ana…
The spatial distribution and frequency of street, plot and building types across five European cities
Typologies have always played an important role in urban planning and design practice and formal studies have been central to the field of urban morphology. These studies have predominantly been of a historical-qualitative nature and do not support quantitative comparisons between urban areas and between different cities, nor offer the precise and comprehensive descriptions needed by those engaged in urban planning and design practice. To describ…
Combining environmental and social dimensions in the typomorphological study of urban resilience to heat stress
Feasibility of estimating travel demand using geolocations of social media data
Travel demand estimation, as represented by an origin–destination (OD) matrix, is essential for urban planning and management. Compared to data typically used in travel demand estimation, the key strengths of social media data are that they are low-cost, abundant, available in real-time, and free of geographical partition. However, the data also have significant limitations: population and behavioural biases, and lack of important information suc…
Unraveling the mode substitution of dockless bike-sharing systems and its determinants: A trip level data-driven interpretation
Understanding the mode substitution of shared micro-mobility systems is essential for assessing their societal and environmental impact and developing improvement planning instruments. This study carries out a fine-grained analysis of the mode substitution of dockless bike sharing (DLBS) in relation to other transport modes at the trip level, leveraging multi-modal route planning techniques , transaction data of bike-sharing, and travel behavior …
Data-driven interpretation on interactive and nonlinear effects of the correlated built environment on shared mobility
Understanding the usage demand of shared mobility systems in different areas of a city and its determinants is crucial for planning, operation and management of the systems. This study leverages an unbiased data-driven approach called accumulated effect analysis for examining the complex (nonlinear and interactive) effects of correlated built environment factors on the usage of shared mobility. Special research emphasis is given to unraveling the…
Inequalities in the potential movement of social groups: A network-based indicator
Accessibility and mobility are key concerns of sustainable cities, especially in the Global South, due to the strong social inequalities. This paper contributes to the literature on mobility segregation by focusing on the potential movement of social groups in the city. We conceptualize potential movement as a network centrality, acting as an indicator of population movement when performing daily activities (working, studying, shopping, etc.). Th…
Evaluating the impact of social housing policies: Measuring accessibility changes when individuals move to social housing projects
Addressing housing deficits and inequalities remains a key challenge for cities in promoting more sustainable urban development. In response to these challenges, governments around the world, particularly in the Global South, have made substantial investments in housing policies for middle- and low-income individuals. Nevertheless, while these initiatives increase housing provision, they often face criticism for not adequately considering the loc…
From territorial capital to regional design: A multidimensional model for territorial analysis and scenario evaluation
Territorial capital is a policy concept that emphasizes the endogenous development and regional competitiveness of particular territories, calling for place-based territorial approaches and greater convergence between spatial planning and regional development policies. However, spatial thinking and imaging are still missing when this concept is applied. This paper introduces a multidimensional assessment model that foregrounds the spatial dimensi…
Socio-spatial segregation and human mobility: A review of empirical evidence
Socio-spatial segregation is the physical separation of different social, economic, or demographic groups within a geographic space, often resulting in unequal access to resources, services, and opportunities. The literature has traditionally focused on residential segregation , examining how individuals' residential locations are distributed differently across neighborhoods based on various social attributes, e.g., race, ethnicity, and income. H…
Activity-based simulations for neighbourhood planning towards social-spatial equity
Urban planners use static analysis techniques like network and proximity analysis to evaluate a neighbourhood's accessibility. However, these techniques do not adequately capture the distributional effects of accessibility on individuals. This paper introduces an activity-based model that simulates residents' daily activities to assess the distributional effects of the built environment (BE) on their accessibility. The model consists of a pipelin…
Downstream impacts of the Madeira Hydroelectric Complex on várzea traditional agriculture and extractivism
Hydropower development in the Amazon has accelerated under public and private incentives, aiming to promote economic growth, environmental conservation, renewable energy, and social equity within a sustainable development agenda. However, recent studies show significant negative impacts on local communities and ecosystems, raising concerns about hydropower’s true contribution to sustainability. Despite increasing awareness, research has largely o…
Redefining urban digital twins for the federated data spaces ecosystem: A perspective
Urban Digital Twins (UDTs) promise to facilitate the transition to a smarter planning and decision-making process, but they face many challenges to meet stakeholders’ expectations and to support delivering a better living environment for citizens. Their full potential can only be reached through more flexible sharing and integration of data and data models. From this perspective, we argue that UDTs can be realised in an ecosystem of data spaces t…
Where if? Using spatial, building-stock-driven simulations to explore construction circularity strategies in Gothenburg, Sweden
Recycling construction materials can significantly reduce the environmental impact of the construction and demolition sector. However, implementing circularity strategies requires a spatially refined understanding of material stock dynamics. This study introduces a stock-driven and rule-based simulation that forecasts – over space and time – material stocks, flows, and associated embodied carbon resulting from construction, renovation, and demoli…
Geography (11 works) · Computer Science (10 works) · Engineering (10 works) · Urban Transport and Accessibility (9 works) · Civil engineering (7 works) · Economic geography (6 works) · Mathematics (6 works) · Regional science (6 works) · Urban Design and Spatial Analysis (6 works) · Land Use and Ecosystem Services (5 works)