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Computational Urban Science
Scopus
ISSN 2730-6852 · Springer · 270 artikel di indeks
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Artikel Jurnal
Macro–micro urban resilience analysis in emergency: insights from Chinese eight major urban agglomeration
Abstract Urban agglomeration, a product of advanced urbanization and industrial transformation, plays a critical role in national spatial and economic systems. Urban agglomeration resilience remains underexplored in existing literature, particularly regarding how multi-scale interactions between…
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Analysis of supply–demand optimization and adjustment in urban center planning based on rail transit accessibility potential
Abstract Urban centers, as core zones for development, are often defined more by functional concepts than explicit boundaries. This ambiguity complicates policy formulation and results in a gap between planning objectives and actual development. Existing studies primarily utilize multi-source data…
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Understanding subjective well-being in urban emergencies: the role of time use and personality traits
Abstract Urban emergencies significantly disrupt the subjective well-being (SWB) of urban population, while limited research has explored how time-use patterns interact with personality traits to shape SWB in crisis contexts. Understanding these mechanisms is essential for effective urban…
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Reconceptualising regional boundaries: depicting blurred regions in China through individual mobility data
Abstract Delineating the boundary or impact area of an economic, cultural, or lifestyle region has been a long-lasting problem in urban and regional geography. The fundamental difficulty lies in the exact definition of a region, and what criteria need to be considered. Existing methods either use…
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Exploring contemporary public perceptions of historical redlining practices in the United States
Abstract Redlining is a discriminatory practice of systematically denying loans or mortgages to residents in specific neighborhoods based on racial or ethnical composition. In current literature research, there is a lack of understanding of the public perceptions of impacts of historical redlining…
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Exploring bicycle theft through topography, street centrality, and the built environment: a spatial analysis of Toronto, Canada
Abstract Although bicycle theft is a common issue across many urban cities, the empirical evidence of bicycle theft patterns is sparse, in particular within Canada. Existing studies have primarily focused on the built environment, while largely overlooking the potential influence of topography and…
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PARS: an urban context framework for residential adaptive reuse
Abstract Housing shortages in rapidly growing metropolitan regions have increased interest in adaptive reuse strategies that enable the residential conversion of existing non-residential buildings. However, most adaptive reuse evaluation approaches primarily focus on building-level characteristics…
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Investigating the association between street environmental factors and pedestrian volume in a southern Chinese city: a machine learning based analysis
Abstract The pedestrian volume, a critical indicator of urban vitality, has been broadly investigated in urban streets, particularly in China. However, how the street environment impacts the pedestrian volume has not received much attention in current Chinese cities. This study has adopted a…
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Mapping and predicting urban heat island intensity hotspots through a space–time machine learning framework in Bangladesh
Abstract Urban Heat Island Intensity (UHII) has become a pressing urban climate issue in rapidly developing nations such as Bangladesh. This study presents a nationwide thana-level assessment of UHII trends from 1990 to 2023 using remote sensing, geospatial analysis, and machine learning…
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Predictive modeling of urbanization in Oran, Algeria: a spatial analysis of driving factors and land cover change using land change modeler and logistic regression
Abstract Urbanization is a global phenomenon with critical challenges for land use management and ecosystem conservation. This work examines urbanization dynamics and their effects on land cover categories, emphasizing the importance of understanding these processes for effective urban management…
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A proposal to localising urban AI: a conceptual shift from generalist LLMs to task-specific SLMs
Abstract Urban AI discourse has been dominated by Large Language Models (LLMs), yet these models misalign with the specific operational needs of cities, which demand low-latency, context-sensitive, and infrastructure-light solutions. This opinion paper addresses that gap by proposing Small Language…
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Seoul street-view database for urban environment research
Abstract Street-view imagery provides valuable insights into the physical and social dimensions of urban environments. Seoul, South Korea, known for its rapid urban transformation, presents a distinctive blend of traditional urban centers and newly developed districts. To gain a comprehensive…
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Integrating artificial neural network-cellular automata and bayesian weight of evidence for spatiotemporal analysis of urban change in Brisbane City
Abstract Urbanisation is a global phenomenon, with major cities worldwide undergoing rapid transformation driven by economic and population growth. However, the urbanisation process in Brisbane City remains comparatively underexplored relative to other Australian metropolitan areas. This study…
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Impacts of land system change− driven urban heat islands on surface water dynamics and moisture conditions in Gauteng Province, South Africa
Abstract Surface water is a scarce resource in Gauteng, South Africa. This study analysed the impacts of urban heat islands on surface water dynamics and moisture conditions from 1984 to 2024 using vegetation and water indices in the Google Earth Engine. The results indicate that Gauteng has…
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Understanding pre- and post-COVID urban neighborhood dynamics: a study analyzing georeferenced tweets for New York City
Abstract Sudden disruptions, such as the COVID-19 pandemic, can reshape multiple dimensions of everyday urban life by affecting social interactions, mobility patterns, and the use of urban spaces. Previous research efforts trying to understand the consequences for citizens relied on top-down…
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Green space pattern and thermal comfort simulation based on high-resolution remote sensing images
Abstract The green space pattern has obvious impacts on thermal comfort simulation, and clarifying the correlation between the two is crucial for optimizing urban green space planning. To explore the correlation between green space pattern and thermal comfort simulation, a green space pattern…
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Predicting surface urban heat island intensity and its drivers using machine learning and spatial XAI for achieving SDG-11
Abstract Surface Urban Heat Island (SUHI) is a major environmental concern especially in rapidly expanding cities with substantial impacts on urban climate, human health, and energy demand. Despite extensive documentation of the phenomenon, our understanding of the driving forces behind SUHI…
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Spatial heterogeneities of heat waves’ impact on emotions and their causal factors based on multi-source geographic big data-a case study in Beijing city
Abstract Frequent and severe heat waves have posed significant threats to residents' emotional well-being. Traditional questionnaire survey data struggled to obtain timely, large-scale emotional responses to heat waves. This study employed multi-source geographic big data to explore spatial…
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Room with a (Re)View: deep learning employing OpenAI, spatial and temporal analysis at the neighborhood level
Abstract This study employs a computational and theoretical framework to investigate digitally mediated urban experiences through a large-scale spatiotemporal analysis of Airbnb user-generated content. Revisiting Kevin Lynch’s concept of “imageability,” the research reconceptualizes urban…