Computers Environment and Urban Systems

Papers
(The median citation count of Computers Environment and Urban Systems is 8. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City432
Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios112
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity97
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?93
A land-use transport-interaction framework for large scale strategic urban modeling81
Function and form of U.S. cities80
An integrated global model of local urban development and population change79
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models79
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels76
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–202175
Characterizing residential segregation in cities using intensity, separation, and scale indicators72
Large-scale agent-based modelling of street robbery using graphical processing units and reinforcement learning67
A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments66
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey65
Quality assessment of crowdsourced social media data for urban flood management63
Enhanced solution capabilities for multiple patch land allocation62
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation61
Locating offenders: Introducing the reverse spatial patterning approach61
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater59
The language of neighborhoods: A predictive-analytical framework based on property advertisement text and mortgage lending data58
Detecting cities with high intermediacy in the African urban network56
Analyzing usage patterns from video data through deep learning: The case of an urban park54
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London53
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area49
Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning48
A framework for modelling spatio-temporal informal settlement growth prediction47
Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis46
Understanding the protection of privacy when counting subway travelers through anonymization42
A user-friendly assessment of six commonly used urban growth models42
‘Green or short: choose one’ - A comparison of walking accessibility and greenery in 43 European cities42
Exploring the viability of walk-sharing in outdoor urban spaces40
Strategic allocation of landmarks to reduce uncertainty in indoor navigation39
Corrigendum to “An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding” [Computers, Environment and Urban Systems 80 (39
Editorial Board38
Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression38
Does partition matter? A new approach to modeling land use change37
Machine learning application to spatio-temporal modeling of urban growth37
Machine learning to model gentrification: A synthesis of emerging forms37
Towards generating network of bikeways from Mapillary data37
Interpretable machine learning models for crime prediction35
A graph-based neural network approach to integrate multi-source data for urban building function classification35
Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data35
Capturing the spatial arrangement of POIs in crime modeling35
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning33
Delineating functional urban areas in Chinese mega city regions using fine-grained population data and cellphone location data: A case of Pearl River Delta33
Editorial Board33
Flow trace: A novel representation of intra-urban movement dynamics32
Information propagation on cyber, relational and physical spaces about covid-19 vaccine: Using social media and splatial framework31
A new geodemographic classification of the influence of neighbourhood characteristics on crime: The case of Leeds, UK31
Logistic facility identification from spatial time series data30
Predicting Desire Paths: Agent-Based Simulation for Neighbourhood Route Planning30
The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network30
Shortest covering paths and other covering walks: Refinements and prospects for subtour prevention29
Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset29
Large-scale agent-based simulation model of pedestrian traffic flows28
Automatic detection of potential mosquito breeding sites from aerial images acquired by unmanned aerial vehicles28
Predicting individuals' car accident risk by trajectory, driving events, and geographical context28
How regularly do people visit service places?28
Integrating species distribution and piecewise linear regression model to identify functional connectivity thresholds to delimit urban ecological corridors27
A heuristic algorithm for balancing workloads in coverage modeling27
An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale27
Utilizing geo-referenced imagery for systematic social observation of neighborhood disorder27
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review26
From points to patterns: An explorative POI network study on urban functional distribution26
Editorial Board26
Smart water metering as a non-invasive tool to infer dwelling type and occupancy – Implications for the collection of neighbourhood-level housing and tourism statistics26
Generative population synthesis for joint household and individual characteristics25
Exploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)25
A comparison between residential relocation timing of Sydney and Chicago residents: A Bayesian survival analysis25
Shared automated vehicle fleet operations for first-mile last-mile transit connections with dynamic pooling25
Investigating path dependence and spatial characteristics for retail success using location allocation and agent-based approaches25
Application of the local colocation quotient method in jobs-housing balance measurement based on mobile phone data: A case study of Nanjing City24
When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates24
Multi-objective optimization of urban environmental system design using machine learning23
Constructing multi-level urban clusters based on population distributions and interactions23
Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images23
Diversity and density of urban functions in station areas23
Unravelling intercity mobility patterns in China using multi-year big data: A city classification based on monthly fluctuations and year-round trends23
Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining23
Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks22
Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation22
Intra-urban land use maps for a global sample of cities from Sentinel-2 satellite imagery and computer vision22
Exploring the built environment impacts on Online Car-hailing waiting time: An empirical study in Beijing22
A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models22
Jointly spatial-temporal representation learning for individual trajectories22
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG22
The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density21
A topology-based approach to identifying urban centers in America using multi-source geospatial big data21
Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change21
Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model21
Patterns of urban foot traffic dynamics21
Editorial Board21
UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints20
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches20
Creating spatially complete zoning maps using machine learning20
ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data20
Simulating household energy behavior diffusion using spatial microsimulation and econometric models20
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints20
Fire and smoke digital twin – A computational framework for modeling fire incident outcomes20
Road network evolution in the urban and rural United States since 190020
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction20
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios20
Socio-spatial segregation and human mobility: A review of empirical evidence19
Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery19
Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments19
A specialized inclusive road dataset with elevation profiles for realistic pedestrian navigation using open geospatial data and deep learning19
Editorial Board19
Editorial Board19
Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data19
Governance of flood risk data: A comparative analysis of government and insurance geospatial data for identifying properties at risk of flood19
KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China19
Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users19
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas18
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China18
Multi-level simulation of the physical, cognitive and social18
Advances in portable sensing for urban environments: Understanding cities from a mobility perspective18
Machine-based understanding of noise perception in urban environments using mobility-based sensing data18
A multiagent systems with Petri Net approach for simulation of urban traffic networks18
Capturing urban recreational hotspots from GPS data: A new framework in the lens of spatial heterogeneity18
Measuring urban regional similarity through mobility signatures17
Applicability and sensitivity analysis of vector cellular automata model for land cover change17
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost17
Optimisation of surveillance camera site locations and viewing angles using a novel multi-attribute, multi-objective genetic algorithm: A day/night anti-poaching application17
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions17
Spatial (in)accuracy of cell broadcast alerts in urban context: Feedback from the April 2023 Cannes tsunami trial17
From board games to immersive urban imaginaries: Visualization fidelity's impact on stimulating discussions on urban transformation17
Determination of building flood risk maps from LiDAR mobile mapping data17
Vital triangle: A new concept to evaluate urban vitality16
Decoding (urban) form and function using spatially explicit deep learning16
Landscape metrics regularly outperform other traditionally-used ancillary datasets in dasymetric mapping of population16
A graph-based approach for representing addresses in geocoding16
Editorial Board15
Do human mobility network analyses produced from different location-based data sources yield similar results across scales?15
Parameterizing agent-based models using an online game15
Abstracting routes to their route-defining locations15
A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting15
Editorial Board15
Which city is the greenest? A multi-dimensional deconstruction of city rankings15
Urban hotspots detection of taxi stops with local maximum density15
Simulation of dispersion effects by considering interactions of pedestrians and bicyclists using an agent space model14
Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development14
Great Britain's spatial twitter activity related to ‘fracking’14
Urban morphology and traffic congestion: Longitudinal evidence from US cities14
Editorial Board14
Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data14
Editorial Board14
On the knowledge gain of urban morphology from space14
Exploring the effect of urban spatial development pattern on carbon dioxide emissions in China: A socioeconomic density distribution approach based on remotely sensed nighttime light data14
From PSScience to digital planning: Steps towards an integrated research and practice agenda for digital planning14
Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data13
Conflating point of interest (POI) data: A systematic review of matching methods13
Building footprint data for countries in Africa: To what extent are existing data products comparable?13
Measuring the impacts of dockless micro-mobility services on public transit accessibility13
Revealing racial-ethnic segregation with individual experienced segregation indices based on social media data: A case study in Los Angeles-Long Beach-Anaheim13
The use of urban analytics in strategic planning – A case study of the greater Sydney region plan12
Time will not tell: Temporal approaches for privacy-preserving trajectory publishing12
Using computer vision and street view images to assess bus stop amenities12
Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications12
Editorial Board12
Urban streets profiling with coupled spatio-temporal characteristics and topological information from the biking perspective12
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction12
Automatic detection of urban vacant land: An open-source approach for sustainable cities12
Early warning of COVID-19 hotspots using human mobility and web search query data12
A framework for human-computer interactive street network design based on a multi-stage deep learning approach12
Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings12
How can SHAP (SHapley Additive exPlanations) interpretations improve deep learning based urban cellular automata model?12
Urban land teleconnections in the United States: A graphical network approach11
Exploring spatial complexity: Overlapping communities in South China's megaregion with big geospatial data11
An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways11
Urban attractiveness according to ChatGPT: Contrasting AI and human insights11
Dissecting lightning strike hazard impact patterns to National Airspace System facilities in the contiguous United States11
Mapping dynamic peri-urban land use transitions across Canada using Landsat time series: Spatial and temporal trends and associations with socio-demographic factors10
Unraveling changes of spending behavior in pandemic cities: A nationwide study of South Korea10
Predicting building characteristics at urban scale using graph neural networks and street-level context10
A dominance tree approach to systems of cities10
Community resilience to wildfires: A network analysis approach by utilizing human mobility data10
Places for play: Understanding human perception of playability in cities using street view images and deep learning10
Towards user-driven earth observation-based slum mapping10
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding10
Generalized geographically and temporally weighted regression10
To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization10
The utility of multilevel models for continuous-time feature selection of spatio-temporal networks9
Editorial Board9
Structural model choices regularly overshadow parametric uncertainty in agent-based simulations of household flood risk outcomes9
A new approach to detecting and designing living structure of urban environments9
An iterative tessellation-based analytical approach to the design and planning of waste management regions9
Editorial Board9
Evaluation of heuristics for the p-median problem: Scale and spatial demand distribution9
Unravelling the dynamics behind the urban morphology of port-cities using a LUTI model based on cellular automata9
Spatial constraints in cellular automata-based urban growth models: A systematic comparison of classifiers and input urban maps9
Exploring emergent soundscape profiles from crowdsourced audio data9
Measuring local-scale canopy-layer air temperatures in the built environment: A flexible method for urban heat studies9
Comparative analysis of pedestrian volume models: Agent-based models, machine learning methods and multiple regression analysis9
A general model for creating robust choropleth maps9
Imputation of missing time-activity data with long-term gaps: A multi-scale residual CNN-LSTM network model9
Detecting spatiotemporal traffic events using geosocial media data9
Informal participation in digital planning: How can third parties use social media to shift power relations in planning?9
Editorial Board9
The co-determination of home and workplace relocation durations using survival copula analysis8
How far will you go? From empirical findings to formalization of walking route distances8
Variability in and mixtures among residential vacancies at granular levels: Evidence from municipal water consumption data8
A spatially-explicit sensitivity analysis of urban definitions: Uncovering implicit assumptions in the Degree of Urbanisation8
LCZ-based city-wide solar radiation potential analysis by coupling physical modeling, machine learning, and 3D buildings8
Editorial Board8
A space-time flow LISA approach for panel flow data8
Flood depth mapping in street photos with image processing and deep neural networks8
Can machine learning improve small area population forecasts? A forecast combination approach8
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea8
How do contributions of organizations impact data inequality in OpenStreetMap?8
Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency8
Machine learning-based characterisation of urban morphology with the street pattern8
Trackintel: An open-source Python library for human mobility analysis8
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