Computers Environment and Urban Systems

Papers
(The TQCC of Computers Environment and Urban Systems is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
The use of urban analytics in strategic planning – A case study of the greater Sydney region plan354
Using computer vision and street view images to assess bus stop amenities110
Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings102
Perceptions of space and time of public transport travel associated with human brain activities: A case study of bus travel in Beijing93
Quantitative assessment and comparison of urban patterns in Germany and the United States90
Developing two-dimensional indicators of transport demand and supply to promote sustainable transportation equity76
Urban streets profiling with coupled spatio-temporal characteristics and topological information from the biking perspective75
Creating spatially complete zoning maps using machine learning74
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels73
Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications70
The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density69
Optimization of urban greenway route using a coverage maximization model for lines64
What we can learn from selected, unmatched data: Measuring internet inequality in Chicago62
Editorial Board62
A framework for human-computer interactive street network design based on a multi-stage deep learning approach57
High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines56
Editorial Board56
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–202156
Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data56
Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level53
Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model53
Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images52
ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data50
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction49
Identifying the spatial footprint of pollen distributions using the Geoforensic Interdiction (GOFIND) model49
Patterns of urban foot traffic dynamics48
Evolutions of households with every member out-of-home across Japanese cities from 1987 to 201547
Early warning of COVID-19 hotspots using human mobility and web search query data45
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints42
A land-use transport-interaction framework for large scale strategic urban modeling42
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City41
A topology-based approach to identifying urban centers in America using multi-source geospatial big data39
Does real time experience matter? Comparison of retrospective and in-situ spatial data in participatory mapping38
Post-disaster recovery policy assessment of urban socio-physical systems37
Function and form of U.S. cities36
How shareable is your trip? A path-based analysis of ridesplitting trip shareability36
UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints36
Spatiotemporal dynamics of ethnoracial diversity and segregation in Los Angeles County: Insights from mobile phone data35
Time will not tell: Temporal approaches for privacy-preserving trajectory publishing34
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction34
Granularity of origins and clustering destinations in indoor wayfinding34
Editorial Board34
Road network evolution in the urban and rural United States since 190033
Editorial Board33
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity32
The cost of climate change: A generalized cost function approach for incorporating extreme weather exposure into public transit accessibility32
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?32
Free and open source urbanism: Software for urban planning practice32
Spatial aspects of urban air quality management: Estimating the impact of micro-scale urban form on pollution dispersion32
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models31
Fire and smoke digital twin – A computational framework for modeling fire incident outcomes30
Estimating congestion zones and travel time indexes based on the floating car data30
Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore30
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios29
An integrated global model of local urban development and population change28
Measuring pedestrians' movement and building a visual-based attractiveness map of public spaces using smartphones28
Sensing urban soundscapes from street view imagery28
How can SHAP (SHapley Additive exPlanations) interpretations improve deep learning based urban cellular automata model?28
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches27
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics27
Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning26
Inferring storefront vacancy using mobile sensing images and computer vision approaches26
Towards healthcare access equality: Understanding spatial accessibility to healthcare services for wheelchair users26
An ontology-based approach for harmonizing metrics in bike network evaluations25
Exploring large language models for human mobility prediction under public events25
Detecting cities with high intermediacy in the African urban network25
Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective25
Editorial Board25
An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach25
Automatic detection of urban vacant land: An open-source approach for sustainable cities25
Coverage and bias of street view imagery in mapping the urban environment24
Equity of access to Uber's wheelchair accessible service24
Understanding dockless bike-sharing spatiotemporal travel patterns: Evidence from ten cities in China24
Socio-spatial segregation and human mobility: A review of empirical evidence23
Quality assessment of crowdsourced social media data for urban flood management23
Editorial Board22
Editorial Board22
Dissecting lightning strike hazard impact patterns to National Airspace System facilities in the contiguous United States22
Does area type matter for pedestrian distribution? Testing movement economy theory on gated and non-gated housing estates in Wuhan, China22
Identifying the spatio-temporal dynamics of mega city region range and hinterland: A perspective of inter-city flows22
Locating offenders: Introducing the reverse spatial patterning approach22
Editorial Board22
Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data21
Analyzing the multiscale patterns of jobs-housing balance and employment self-containment by different income groups using LEHD data: A case study in Cincinnati metropolitan area21
Equitable optimization of US airline route networks21
Mobility between Colombian cities is predominantly repeat and return migration21
Towards user-driven earth observation-based slum mapping21
Disparities in public transport accessibility in London from 2011 to 202121
Examining the relationship between active transport and exposure to streetscape diversity during travel: A study using GPS data and street view imagery20
Characterizing residential segregation in cities using intensity, separation, and scale indicators20
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics20
Large-scale agent-based modelling of street robbery using graphical processing units and reinforcement learning20
Editorial Board20
Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture19
A specialized inclusive road dataset with elevation profiles for realistic pedestrian navigation using open geospatial data and deep learning19
Automated simulation for household road traffic noise exposure: Application and field evaluation in a high-density city19
Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery19
Editorial Board19
Discovering income-economic segregation patterns: A residential-mobility embedding approach19
A graph-based modelling approach for the representation and analysis of urban conflicts19
A citizen science toolkit to collect human perceptions of urban environments using open street view images19
Advances in estimating pedestrian measures through artificial intelligence: From data sources, computer vision, video analytics to the prediction of crash frequency19
Mechanisms for increased school segregation relative to residential segregation: a model-based analysis19
Generalized geographically and temporally weighted regression18
An integrated decision support system for the urban food-water-energy nexus: Methodology, modification, and model formulation18
Analyzing usage patterns from video data through deep learning: The case of an urban park18
Simulating household energy behavior diffusion using spatial microsimulation and econometric models18
Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity18
GeoAI-enhanced community detection on spatial networks with graph deep learning18
Large scale geospatial data conflation: A feature matching framework based on optimization and divide-and-conquer18
0.23750305175781