City Modelling Lab
City Modelling Lab
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Disparities in Public Transport Accessibility in London from 2011 to 2021
Addressing urban inequalities has become a pressing concern on both the global sustainable development agenda and for local policy. …
Yuxin Nie
,
Shivani Bhatnagar
,
Duncan Smith
,
Esra Suel
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DOI
Self-Supervised Learning Unveils Urban Change from Street-Level Images
Cities around the world are grappling with multiple interconnected challenges, including population growth, shortage of affordable and …
Steven Stalder
,
Michele Volpi
,
Nicolas Büttner
,
Stephen Law
,
Kenneth Harttgen
,
Esra Suel
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DOI
Measuring Transport-Associated Urban Inequalities: Where Are We and Where Do We Go from Here?
Reducing urban inequalities is at the forefront of the global sustainable development agenda, as well as national and local policies. …
Esra Suel
,
Claude Lynch
,
Maria Wood
,
Tom Murat
,
Gerry Casey
,
Adam Dennett
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Vehicle-to-Grid and Car Sharing: Willingness for Flexibility in Reservation Times in Switzerland
Combining vehicle-to-grid (V2G) with car sharing can substantially contribute to decarbonization of both energy and transportation …
Esra Suel
,
Yanan Xin
,
Nina Wiedemann
,
Lorenzo Nespoli
,
Vasco Medici
,
Antonin Danalet
,
Martin Raubal
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DOI
Re-Defining Transport for London's Strategic Neighbourhoods from Spatial and Social Perspectives
Neighbourhoods are fundamental spatial units to present social phenomena in urban studies. Many studies use administrative boundaries …
Xinlei Yan
,
Adam Dennett
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DOI
Multimodal Deep Learning from Satellite and Street-Level Imagery for Measuring Income, Overcrowding, and Environmental Deprivation in Urban Areas
Data collected at large scale and low cost (e.g. satellite and street level imagery) have the potential to substantially improve …
Esra Suel
,
Samir Bhatt
,
Michael Brauer
,
Seth Flaxman
,
Majid Ezzati
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DOI
Measuring Social, Environmental and Health Inequalities Using Deep Learning and Street Imagery
Cities are home to an increasing majority of the world’s population. Currently, it is difficult to track social, economic, …
Esra Suel
,
John W. Polak
,
James E. Bennett
,
Majid Ezzati
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DOI
Agent-Based Model (ABM) for City-Scale Traffic Simulation: A Case Study on San Francisco
Agent-Based Model (ABM) is a promising tool for city-scale traffic simulation to understand the complex behaviour of the entire urban …
Bingyu Zhao
,
Krishna Kumar
,
Gerry Casey
,
Kenichi Soga
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DOI
Briefing: High-performance Computing for City-Scale Modelling and Simulations
Smarter cities and infrastructure are essential if the world is to respond effectively to the critical challenges it faces. As of 2008, …
Kenichi Soga
,
Gerry Casey
,
Krishna Kumar
,
Bingyu Zhao
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DOI
Re-Thinking UK Transport Emissions -- Getting to the 2050 Targets
Transport is a complex system, integral to national and international structure and without which society cannot function. At the same …
Heleni Pantelidou
,
Gerry Casey
,
Tim Chapman
,
Peter Guthrie
,
Kenichi Soga
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DOI
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