Computers Environment and Urban Systems

(The TQCC of Computers Environment and Urban Systems is 16. 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 2020-05-01 to 2024-05-01.)
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China521
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility119
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost103
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics76
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach73
Uncovering inconspicuous places using social media check-ins and street view images70
Classification of urban morphology with deep learning: Application on urban vitality58
Impacts of tree and building shades on the urban heat island: Combining remote sensing, 3D digital city and spatial regression approaches57
Estimating pedestrian volume using Street View images: A large-scale validation test55
Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR55
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level54
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems53
Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment47
Scale effects in remotely sensed greenspace metrics and how to mitigate them for environmental health exposure assessment44
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions44
Global Building Morphology Indicators42
Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches42
Land suitability and urban growth modeling: Development of SLEUTH-Suitability41
Decoding urban landscapes: Google street view and measurement sensitivity41
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London40
Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran39
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery39
Spatial biases in crowdsourced data: Social media content attention concentrates on populous areas in disasters38
Urban morphology and traffic congestion: Longitudinal evidence from US cities37
Delineating urban park catchment areas using mobile phone data: A case study of Tokyo37
Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning36
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic36
Places for play: Understanding human perception of playability in cities using street view images and deep learning34
Flood depth mapping in street photos with image processing and deep neural networks34
Estimating congestion zones and travel time indexes based on the floating car data34
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China34
Estimating quality of life dimensions from urban spatial pattern metrics33
Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach32
Interpretable machine learning models for crime prediction32
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT32
Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective31
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method31
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios31
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)30
Inferencing hourly traffic volume using data-driven machine learning and graph theory30
Quality of location-based crowdsourced speed data on surface streets: A case study of Waze and Bluetooth speed data in Sevierville, TN30
A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models29
Mobile phone location data for disasters: A review from natural hazards and epidemics29
3D city models for urban farming site identification in buildings29
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities28
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data28
Establishing a citywide street tree inventory with street view images and computer vision techniques27
Scaling of urban economic outputs: insights both from urban population size and population mobility27
Numerical modelling for analysis of the effect of different urban green spaces on urban heat load patterns in the present and in the future26
Advancing scenario planning through integrating urban growth prediction with future flood risk models26
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review25
Assessing the influence of point-of-interest features on the classification of place categories25
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China25
Towards user-driven earth observation-based slum mapping25
Towards generating network of bikeways from Mapillary data25
Impact of extreme weather events on urban human flow: A perspective from location-based service data24
Quality assessment of crowdsourced social media data for urban flood management24
Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City24
Quantify city-level dynamic functions across China using social media and POIs data24
Peeking inside the black-box: Explainable machine learning applied to household transportation energy consumption24
Sensing urban soundscapes from street view imagery24
Calibrating SLEUTH with big data: Projecting California's land use to 210023
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG23
Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation23
Modeling urban development and its exposure to river flood risk in Southeast Asia23
The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc23
Geographic micro-process model: Understanding global urban expansion from a process-oriented view22
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity22
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding22
Sensing urban poverty: From the perspective of human perception-based greenery and open-space landscapes22
BiFlowLISA: Measuring spatial association for bivariate flow data22
Advances in portable sensing for urban environments: Understanding cities from a mobility perspective21
An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways21
Life is a scene and we are the actors: Assessing the usefulness of planning support theatres for smart city planning21
Measuring inequalities in urban systems: An approach for evaluating the distribution of amenities and burdens20
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 feature20
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction20
An efficient dynamic route optimization for urban flooding evacuation based on Cellular Automata20
You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data19
Probabilistic allocation and scheduling of multiple resources for emergency operations; a Victorian bushfire case study19
Road network evolution in the urban and rural United States since 190019
Multiscale analysis of the influence of street built environment on crime occurrence using street-view images19
An iterative tessellation-based analytical approach to the design and planning of waste management regions19
Urban expansion simulation from the perspective of land acquisition-based on bargaining model and ant colony optimization19
Automatic detection of potential mosquito breeding sites from aerial images acquired by unmanned aerial vehicles19
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area19
A data-driven agent-based simulation to predict crime patterns in an urban environment18
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 spatiotemporal dynamic analyses approach for dockless bike-share system18
Comprehensive decision-strategy space exploration for efficient territorial planning strategies18
Space-time analytics of human physiology for urban planning17
An agent-based model of public space use17
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 data17
Modelling the effect of landmarks on pedestrian dynamics in urban environments17
Which city is the greenest? A multi-dimensional deconstruction of city rankings17
Towards the automated large-scale reconstruction of past road networks from historical maps17
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea17
SALT: A multifeature ensemble learning framework for mapping urban functional zones from VGI data and VHR images16
Vital triangle: A new concept to evaluate urban vitality16
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas16
Optimization of carsharing fleet size to maximize the number of clients served16
A new approach to detecting and designing living structure of urban environments16
Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images16
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
ACCESS: An agent-based model to explore job accessibility inequalities16