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 2020-11-01 to 2024-11-01.)
ArticleCitations
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China674
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost197
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach91
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics81
Impacts of tree and building shades on the urban heat island: Combining remote sensing, 3D digital city and spatial regression approaches75
Classification of urban morphology with deep learning: Application on urban vitality70
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level62
Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches54
Global Building Morphology Indicators53
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions53
Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment53
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London50
Interpretable machine learning models for crime prediction48
Decoding urban landscapes: Google street view and measurement sensitivity48
Urban morphology and traffic congestion: Longitudinal evidence from US cities47
Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran45
Places for play: Understanding human perception of playability in cities using street view images and deep learning44
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT44
Mobile phone location data for disasters: A review from natural hazards and epidemics42
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic41
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery41
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios41
Flood depth mapping in street photos with image processing and deep neural networks40
A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models40
Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning40
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China39
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China39
Estimating quality of life dimensions from urban spatial pattern metrics39
Estimating congestion zones and travel time indexes based on the floating car data39
Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective38
Establishing a citywide street tree inventory with street view images and computer vision techniques38
Inferencing hourly traffic volume using data-driven machine learning and graph theory37
Sensing urban soundscapes from street view imagery37
3D city models for urban farming site identification in buildings36
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review36
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method34
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)33
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data33
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding32
Modeling urban development and its exposure to river flood risk in Southeast Asia32
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities31
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity31
Numerical modelling for analysis of the effect of different urban green spaces on urban heat load patterns in the present and in the future30
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction30
Free and open source urbanism: Software for urban planning practice30
Scaling of urban economic outputs: insights both from urban population size and population mobility29
Quantify city-level dynamic functions across China using social media and POIs data29
Measuring inequalities in urban systems: An approach for evaluating the distribution of amenities and burdens29
Assessing the influence of point-of-interest features on the classification of place categories29
Towards user-driven earth observation-based slum mapping29
Peeking inside the black-box: Explainable machine learning applied to household transportation energy consumption29
Sensing urban poverty: From the perspective of human perception-based greenery and open-space landscapes28
Towards generating network of bikeways from Mapillary data28
Quality assessment of crowdsourced social media data for urban flood management27
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG27
Advances in portable sensing for urban environments: Understanding cities from a mobility perspective27
Multiscale analysis of the influence of street built environment on crime occurrence using street-view images26
Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City26
Geographic micro-process model: Understanding global urban expansion from a process-oriented view26
An efficient dynamic route optimization for urban flooding evacuation based on Cellular Automata26
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas25
An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways25
Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches24
SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images24
Automatic detection of potential mosquito breeding sites from aerial images acquired by unmanned aerial vehicles24
Multi-objective optimization of urban environmental system design using machine learning23
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area23
A spatiotemporal dynamic analyses approach for dockless bike-share system22
Road network evolution in the urban and rural United States since 190022
GeoAI in terrain analysis: Enabling multi-source deep learning and data fusion for natural feature detection22
Urban morphological regionalization based on 3D building blocks—A case in the central area of Chengdu, China22
Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis21
A data-driven agent-based simulation to predict crime patterns in an urban environment21
Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change21
Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective21
The inclusive 15-minute city: Walkability analysis with sidewalk networks20
An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale20
A multi-objective Markov Chain Monte Carlo cellular automata model: Simulating multi-density urban expansion in NYC20
Modelling the effect of landmarks on pedestrian dynamics in urban environments20
Vital triangle: A new concept to evaluate urban vitality20
Optimization of carsharing fleet size to maximize the number of clients served19
Determination of building flood risk maps from LiDAR mobile mapping data19
Spatial stratified heterogeneity and driving mechanism of urban development level in China under different urban growth patterns with optimal parameter-based geographic detector model mining19
Shared automated vehicle fleet operations for first-mile last-mile transit connections with dynamic pooling19
An iterative tessellation-based analytical approach to the design and planning of waste management regions19
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area19
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea19
Which city is the greenest? A multi-dimensional deconstruction of city rankings19
A new approach to detecting and designing living structure of urban environments19
Space-time analytics of human physiology for urban planning19
Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users18
Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images18
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 data18
Mapping dynamic peri-urban land use transitions across Canada using Landsat time series: Spatial and temporal trends and associations with socio-demographic factors18
Predicting individuals' car accident risk by trajectory, driving events, and geographical context18
Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data18
Streets of London: Using Flickr and OpenStreetMap to build an interactive image of the city17
Towards the automated large-scale reconstruction of past road networks from historical maps17
Population mobility modelling for mobility data simulation17
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery17
Analyzing movement predictability using human attributes and behavioral patterns16
Urban hotspots detection of taxi stops with local maximum density16
Urban ambient air temperature estimation using hyperlocal data from smart vehicle-borne sensors16
An agent-based model for simulating urban crime with improved daily routines16
Spatial aspects of urban air quality management: Estimating the impact of micro-scale urban form on pollution dispersion16
Intra-urban land use maps for a global sample of cities from Sentinel-2 satellite imagery and computer vision16
I-index for quantifying an urban location's irreplaceability16
To be, or not to be ‘urban’? A multi-modal method for the differentiated measurement of the degree of urbanization16
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area16
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction16
Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data16
Measuring urban regional similarity through mobility signatures16
Delineating functional urban areas in Chinese mega city regions using fine-grained population data and cellphone location data: A case of Pearl River Delta16
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater16
Measuring the impacts of dockless micro-mobility services on public transit accessibility15
Understanding spatiotemporal trip purposes of urban micro-mobility from the lens of dockless e-scooter sharing15
Significant spatial co-distribution pattern discovery15
Daily mobility patterns of small business owners and homeworkers in post-industrial cities15
Multi-scale detection and interpretation of spatio-temporal anomalies of human activities represented by time-series15
Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification15
A social sensing approach for everyday urban problem-handling with the 12345-complaint hotline data15
An integrated global model of local urban development and population change15
Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data15
A graph-based semi-supervised approach to classification learning in digital geographies15
Spatial factors influencing building age prediction and implications for urban residential energy modelling15
KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China15
ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data15
Finding the difference: Measuring spatial perception of planning phases of high-rise urban developments in Virtual Reality14
On the knowledge gain of urban morphology from space14
Incorporating active transportation modes in large scale urban modeling to inform sustainable urban development14
Identifying borders of activity spaces and quantifying border effects on intra-urban travel through spatial interaction network14
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints14
Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency14
Urban development wave: Understanding physical spatial processes of urban expansion from density gradient of new urban land14
A novel approach to examining urban housing market segmentation: Comparing the dynamics between sales submarkets and rental submarkets14
Examining runner's outdoor heat exposure using urban microclimate modeling and GPS trajectory mining14
Trackintel: An open-source Python library for human mobility analysis14
Development of SLEUTH-Density for the simulation of built-up land density14
Estimating generalized measures of local neighbourhood context from multispectral satellite images using a convolutional neural network13
Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery13
The language of neighborhoods: A predictive-analytical framework based on property advertisement text and mortgage lending data13
Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications13
Plant pest invasions, as seen through news and social media13
Evolution of residents' cooperative behavior in neighborhood renewal: An agent-based computational approach13
Creating spatially-detailed heterogeneous synthetic populations for agent-based microsimulation13
Simulating large-scale urban land-use patterns and dynamics using the U-Net deep learning architecture13
High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines13
Exploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)13
Predicting and mapping neighborhood-scale health outcomes: A machine learning approach13
Discovering income-economic segregation patterns: A residential-mobility embedding approach13
A simulation-based design framework to iteratively analyze and shape urban landscapes using point cloud modeling13
Identification of urban sectors prone to solid waste accumulation: A machine learning approach based on social indicators12
W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification12
Capturing urban recreational hotspots from GPS data: A new framework in the lens of spatial heterogeneity12
Early warning of COVID-19 hotspots using human mobility and web search query data12
Detecting anomalous spatial interaction patterns by maximizing urban population carrying capacity12
Portable - trackable methodologies for measuring personal and place exposure to nuisances in urban environments: Towards a people oriented paradigm12
Optimisation of surveillance camera site locations and viewing angles using a novel multi-attribute, multi-objective genetic algorithm: A day/night anti-poaching application12
Evaluation of heuristics for the p-median problem: Scale and spatial demand distribution12
Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks12
Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China12
HGAT-VCA: Integrating high-order graph attention network with vector cellular automata for urban growth simulation12
Impacts of urban development on urban water management – Limits of predictability12
Probabilistic positioning in mobile phone network and its consequences for the privacy of mobility data12
HiVG: A hierarchical indoor visibility-based graph for navigation guidance in multi-storey buildings12
An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach11
Detecting individuals' spatial familiarity with urban environments using eye movement data11
Detecting spatial flow outliers in the presence of spatial autocorrelation11
Understanding collective human movement dynamics during large-scale events using big geosocial data analytics11
Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover10
Mapping urban linguistic diversity with social media and population register data10
Characterizing cycling traffic fluency using big mobile activity tracking data10
Delineating a hierarchical organization of ranked urban clusters using a spatial interaction network10
Diversity and density of urban functions in station areas10
Constructing multi-level urban clusters based on population distributions and interactions10
Modelling forced migration: A framework for conflict-induced forced migration modelling according to an agent-based approach10
Urban co-opetition in megaregions: Measuring competition and cooperation within and beyond the Pearl River Delta10
Large scale geospatial data conflation: A feature matching framework based on optimization and divide-and-conquer10
Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation10
Measuring spatial age segregation through the lens of co-accessibility to urban activities10
Flow trace: A novel representation of intra-urban movement dynamics10
Machine learning application to spatio-temporal modeling of urban growth10
Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings10
Modeling interurban mentioning relationships in the U.S. Twitter network using geo-hashtags9
Representing geographic space as a hierarchy of recursively defined subspaces for computing the degree of order9
OGITO, an Open Geospatial Interactive Tool to support collaborative spatial planning with a maptable9
Understanding dockless bike-sharing spatiotemporal travel patterns: Evidence from ten cities in China9
Defining urban boundaries by characteristic scales9
Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images9
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation9
Automatic detection of urban vacant land: An open-source approach for sustainable cities9
The utility of built environment geospatial data for high-resolution dasymetric global population modeling8
Inverse augmentation: Transposing real people into pedestrian models8
Mechanisms for increased school segregation relative to residential segregation: a model-based analysis8
Combining an agent-based model, hedonic pricing and multicriteria analysis to model green gentrification dynamics8
Can machine learning improve small area population forecasts? A forecast combination approach8
A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow8
Graph-based mobility profiling8
360-degree video for virtual place-based research: A review and research agenda8
Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data8
Unravelling the dynamics behind the urban morphology of port-cities using a LUTI model based on cellular automata7
Comprehensive urban space representation with varying numbers of street-level images7
Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression7
Detecting spatiotemporal traffic events using geosocial media data7
Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore7
A machine learning approach to the simulation of intercity corporate networks in mainland China7
A comparison between residential relocation timing of Sydney and Chicago residents: A Bayesian survival analysis7
Spatiotemporal distribution of human trafficking in China and predicting the locations of missing persons7
Multi-level simulation of the physical, cognitive and social7
Topological integration of BIM and geospatial water utility networks across the building envelope7
Mapping relationships between mobile phone call activity and regional function using self-organizing map7
Development of current estimated household data and agent-based simulation of the future population distribution of households in Japan7
Large-scale agent-based simulation model of pedestrian traffic flows7
A graph-based neural network approach to integrate multi-source data for urban building function classification7
A conceptual digital twin framework for city logistics7
Does partition matter? A new approach to modeling land use change7
Determining transmission line path alternatives using a valley-finding algorithm7
Predicting the variability in pedestrian travel rates and times using crowdsourced GPS data7
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