Paper-Journal

Understanding urban traffic flows in response to COVID-19 pandemic with emerging urban big data in Glasgow
Urban traffic analysis has played an important role in urban development, providing insights for urban planning, traffic management, …
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Understanding the protection of privacy when counting subway travelers through anonymization
Public transportation, especially in large cities, is critical for livability. Counting passengers as they travel between stations is …
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A spacematrix and clustering approach to understanding the morphology of Singapore's Housing Development Board (HDB) estates
Urban morphology profoundly influences city planning and experiences significant transformations as cities evolve. This paper …
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Occupation prediction with multimodal learning from Tweet messages and Google Street View images
Despite the development of various heuristic and machine learning models, social media user occupation predication remains challenging …
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Preface
No abstract available.
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Machine learning-based characterisation of urban morphology with the street pattern
Streets are a crucial part of the built environment, and their layouts, the street patterns, are widely researched and contribute to a …
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Mapping street patterns with network science and supervised machine learning
This study introduces a machine learning-based framework for mapping street patterns in urban morphology, offering an objective, …
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Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities
Graph theory effectively explains urban structures via street-street connectivity. However, systematic comparisons of street structures …
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Three-dimensional land-use configuration and property prices: a spatially filtered multi-level modelling perspective
The influence of neighbourhood characteristics on housing prices has gained increasing attention from scholars in recent decades. …
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Equalizing urban agriculture access in Glasgow: a spatial optimization approach
Glasgow, Scotland, United Kingdom, has long-term issues with inequalities in health and food security, as well as large areas of vacant …
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