Computers Environment and Urban Systems

Papers
(The median citation count of Computers Environment and Urban Systems is 7. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China488
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility114
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost93
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics74
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach69
Uncovering inconspicuous places using social media check-ins and street view images66
Classification of urban morphology with deep learning: Application on urban vitality55
Impacts of tree and building shades on the urban heat island: Combining remote sensing, 3D digital city and spatial regression approaches54
Estimating pedestrian volume using Street View images: A large-scale validation test54
Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR53
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems52
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level52
Scale effects in remotely sensed greenspace metrics and how to mitigate them for environmental health exposure assessment43
Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment43
Global Building Morphology Indicators42
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions41
Decoding urban landscapes: Google street view and measurement sensitivity40
Land suitability and urban growth modeling: Development of SLEUTH-Suitability40
Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches40
Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran38
Spatial biases in crowdsourced data: Social media content attention concentrates on populous areas in disasters37
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London37
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery37
Delineating urban park catchment areas using mobile phone data: A case study of Tokyo35
Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning34
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic34
Urban morphology and traffic congestion: Longitudinal evidence from US cities34
Estimating congestion zones and travel time indexes based on the floating car data33
Flood depth mapping in street photos with image processing and deep neural networks32
Estimating quality of life dimensions from urban spatial pattern metrics32
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China32
Places for play: Understanding human perception of playability in cities using street view images and deep learning32
Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach31
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios30
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method30
Interpretable machine learning models for crime prediction30
Quality of location-based crowdsourced speed data on surface streets: A case study of Waze and Bluetooth speed data in Sevierville, TN29
Inferencing hourly traffic volume using data-driven machine learning and graph theory29
3D city models for urban farming site identification in buildings29
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT29
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)29
A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models28
Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective28
Mobile phone location data for disasters: A review from natural hazards and epidemics27
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data27
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities27
Numerical modelling for analysis of the effect of different urban green spaces on urban heat load patterns in the present and in the future25
Establishing a citywide street tree inventory with street view images and computer vision techniques25
Scaling of urban economic outputs: insights both from urban population size and population mobility25
Peeking inside the black-box: Explainable machine learning applied to household transportation energy consumption24
Assessing the influence of point-of-interest features on the classification of place categories24
Quality assessment of crowdsourced social media data for urban flood management24
Impact of extreme weather events on urban human flow: A perspective from location-based service data23
Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation23
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review23
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China23
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG23
Advancing scenario planning through integrating urban growth prediction with future flood risk models23
Geographic micro-process model: Understanding global urban expansion from a process-oriented view22
Quantify city-level dynamic functions across China using social media and POIs data22
Towards generating network of bikeways from Mapillary data22
Towards user-driven earth observation-based slum mapping22
Calibrating SLEUTH with big data: Projecting California's land use to 210022
Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City22
Advances in portable sensing for urban environments: Understanding cities from a mobility perspective21
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity21
Modeling urban development and its exposure to river flood risk in Southeast Asia21
BiFlowLISA: Measuring spatial association for bivariate flow data21
Sensing urban soundscapes from street view imagery21
Sensing urban poverty: From the perspective of human perception-based greenery and open-space landscapes21
The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc21
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding20
Life is a scene and we are the actors: Assessing the usefulness of planning support theatres for smart city planning20
An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways20
An efficient dynamic route optimization for urban flooding evacuation based on Cellular Automata20
Free and open source urbanism: Software for urban planning practice20
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature19
Urban expansion simulation from the perspective of land acquisition-based on bargaining model and ant colony optimization19
Measuring inequalities in urban systems: An approach for evaluating the distribution of amenities and burdens19
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area19
Multiscale analysis of the influence of street built environment on crime occurrence using street-view images19
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction19
You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data18
An iterative tessellation-based analytical approach to the design and planning of waste management regions18
Comprehensive decision-strategy space exploration for efficient territorial planning strategies18
Probabilistic allocation and scheduling of multiple resources for emergency operations; a Victorian bushfire case study18
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area18
A data-driven agent-based simulation to predict crime patterns in an urban environment18
Road network evolution in the urban and rural United States since 190018
A spatiotemporal dynamic analyses approach for dockless bike-share system17
Automatic detection of potential mosquito breeding sites from aerial images acquired by unmanned aerial vehicles17
An agent-based model of public space use17
Modelling the effect of landmarks on pedestrian dynamics in urban environments17
Towards the automated large-scale reconstruction of past road networks from historical maps17
A multi-objective Markov Chain Monte Carlo cellular automata model: Simulating multi-density urban expansion in NYC16
Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches16
Space-time analytics of human physiology for urban planning16
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 data16
A new approach to detecting and designing living structure of urban environments16
ACCESS: An agent-based model to explore job accessibility inequalities16
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea16
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas16
Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images16
Which city is the greenest? A multi-dimensional deconstruction of city rankings15
Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users15
GeoAI in terrain analysis: Enabling multi-source deep learning and data fusion for natural feature detection15
Mapping dynamic peri-urban land use transitions across Canada using Landsat time series: Spatial and temporal trends and associations with socio-demographic factors15
Optimization of carsharing fleet size to maximize the number of clients served15
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater15
SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images14
Multi-objective optimization of urban environmental system design using machine learning14
Predicting individuals' car accident risk by trajectory, driving events, and geographical context14
Analyzing movement predictability using human attributes and behavioral patterns14
Shared automated vehicle fleet operations for first-mile last-mile transit connections with dynamic pooling14
Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective14
Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series14
Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data14
Streets of London: Using Flickr and OpenStreetMap to build an interactive image of the city14
A context sensitive approach to anonymizing public participation GIS data: From development to the assessment of anonymization effects on data quality13
The inclusive 15-minute city: Walkability analysis with sidewalk networks13
Vital triangle: A new concept to evaluate urban vitality13
Urban morphological regionalization based on 3D building blocks—A case in the central area of Chengdu, China13
Daily mobility patterns of small business owners and homeworkers in post-industrial cities13
A graph-based semi-supervised approach to classification learning in digital geographies13
Determination of building flood risk maps from LiDAR mobile mapping data13
An agent-based model for simulating urban crime with improved daily routines13
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction13
Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis13
Urban ambient air temperature estimation using hyperlocal data from smart vehicle-borne sensors13
Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity12
Measuring urban regional similarity through mobility signatures12
Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China12
Population mobility modelling for mobility data simulation12
Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change12
Modeling urban growth by coupling localized spatio-temporal association analysis and binary logistic regression12
ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data12
A network-based scan statistic for detecting the exact location and extent of hotspots along urban streets11
Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing11
Development of SLEUTH-Density for the simulation of built-up land density11
Delineating functional urban areas in Chinese mega city regions using fine-grained population data and cellphone location data: A case of Pearl River Delta11
The language of neighborhoods: A predictive-analytical framework based on property advertisement text and mortgage lending data11
I-index for quantifying an urban location's irreplaceability11
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery11
Significant spatial co-distribution pattern discovery11
Evaluation of heuristics for the p-median problem: Scale and spatial demand distribution11
Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data11
Examining runner's outdoor heat exposure using urban microclimate modeling and GPS trajectory mining11
Urban hotspots detection of taxi stops with local maximum density11
Spatial factors influencing building age prediction and implications for urban residential energy modelling11
Predicting and mapping neighborhood-scale health outcomes: A machine learning approach11
Creating spatially-detailed heterogeneous synthetic populations for agent-based microsimulation11
Discovering income-economic segregation patterns: A residential-mobility embedding approach10
Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks10
Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation10
A novel approach to examining urban housing market segmentation: Comparing the dynamics between sales submarkets and rental submarkets10
To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization10
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints10
On the knowledge gain of urban morphology from space10
Exploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)10
Impacts of urban development on urban water management – Limits of predictability10
A social sensing approach for everyday urban problem-handling with the 12345-complaint hotline data10
Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover10
Robustness response of the Zurich road network under different disruption processes10
Temporal dynamics of the impact of land use on modal disparity in commuting efficiency10
KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China10
Urban development wave: Understanding physical spatial processes of urban expansion from density gradient of new urban land9
Modeling interurban mentioning relationships in the U.S. Twitter network using geo-hashtags9
A simulation-based design framework to iteratively analyze and shape urban landscapes using point cloud modeling9
Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications9
Sensitivity of sequence methods in the study of neighborhood change in the United States9
Evolution of residents' cooperative behavior in neighborhood renewal: An agent-based computational approach9
Delineating a hierarchical organization of ranked urban clusters using a spatial interaction network9
Early warning of COVID-19 hotspots using human mobility and web search query data9
Identifying borders of activity spaces and quantifying border effects on intra-urban travel through spatial interaction network9
Finding the difference: Measuring spatial perception of planning phases of high-rise urban developments in Virtual Reality9
Breaking ground: Automated disturbance detection with Landsat time series captures rapid refugee settlement establishment and growth in North Uganda9
An integrated global model of local urban development and population change9
HiVG: A hierarchical indoor visibility-based graph for navigation guidance in multi-storey buildings8
Can machine learning improve small area population forecasts? A forecast combination approach8
Modelling forced migration: A framework for conflict-induced forced migration modelling according to an agent-based approach8
Probabilistic positioning in mobile phone network and its consequences for the privacy of mobility data8
Automatic detection of urban vacant land: An open-source approach for sustainable cities8
Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency8
Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data8
W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification8
Automating the evaluation of urban roadside drainage systems using mobile lidar data8
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics8
Measuring the impacts of dockless micro-mobility services on public transit accessibility8
Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network8
An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale8
Machine learning application to spatio-temporal modeling of urban growth8
High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines8
Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification7
Large scale geospatial data conflation: A feature matching framework based on optimization and divide-and-conquer7
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area7
Predicting the environment from social media: A collective classification approach7
Constructing multi-level urban clusters based on population distributions and interactions7
Incorporating active transportation modes in large scale urban modeling to inform sustainable urban development7
Ignorance is bliss? An empirical analysis of the determinants of PSS usefulness in practice7
Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture7
Detecting individuals' spatial familiarity with urban environments using eye movement data7
Measuring spatial age segregation through the lens of co-accessibility to urban activities7
The utility of built environment geospatial data for high-resolution dasymetric global population modeling7
Flow trace: A novel representation of intra-urban movement dynamics7
Portable - trackable methodologies for measuring personal and place exposure to nuisances in urban environments: Towards a people oriented paradigm7
Determining transmission line path alternatives using a valley-finding algorithm7
Detecting spatial flow outliers in the presence of spatial autocorrelation7
Intra-urban land use maps for a global sample of cities from Sentinel-2 satellite imagery and computer vision7
OGITO, an Open Geospatial Interactive Tool to support collaborative spatial planning with a maptable7
A machine learning approach to the simulation of intercity corporate networks in mainland China7
Characterizing cycling traffic fluency using big mobile activity tracking data7
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