Computers Environment and Urban Systems

Papers
(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 2020-03-01 to 2024-03-01.)
ArticleCitations
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China470
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility112
Portraying the spatial dynamics of urban vibrancy using multisource urban big data107
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost81
An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding81
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics70
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach67
Uncovering inconspicuous places using social media check-ins and street view images63
Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR53
Estimating pedestrian volume using Street View images: A large-scale validation test52
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level51
Impacts of tree and building shades on the urban heat island: Combining remote sensing, 3D digital city and spatial regression approaches51
Classification of urban morphology with deep learning: Application on urban vitality51
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems51
Morphological tessellation as a way of partitioning space: Improving consistency in urban morphology at the plot scale47
Towards concentration and decentralization: The evolution of urban spatial structure of Chinese cities, 2001–201645
Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment42
Automatic geo-referencing of BIM in GIS environments using building footprints42
Scale effects in remotely sensed greenspace metrics and how to mitigate them for environmental health exposure assessment42
A framework for extracting urban functional regions based on multiprototype word embeddings using points-of-interest data41
Land suitability and urban growth modeling: Development of SLEUTH-Suitability40
Decoding urban landscapes: Google street view and measurement sensitivity39
Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches38
Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran38
Global Building Morphology Indicators38
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions37
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London36
Spatial biases in crowdsourced data: Social media content attention concentrates on populous areas in disasters36
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery35
Delineating urban park catchment areas using mobile phone data: A case study of Tokyo34
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic33
Estimating congestion zones and travel time indexes based on the floating car data33
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China32
Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning32
Urban morphology and traffic congestion: Longitudinal evidence from US cities31
Flood depth mapping in street photos with image processing and deep neural networks31
Estimating quality of life dimensions from urban spatial pattern metrics30
Interpretable machine learning models for crime prediction29
Quality of location-based crowdsourced speed data on surface streets: A case study of Waze and Bluetooth speed data in Sevierville, TN29
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method29
Places for play: Understanding human perception of playability in cities using street view images and deep learning29
3D city models for urban farming site identification in buildings28
Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach28
Road network structure and ride-sharing accessibility: A network science perspective28
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)28
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios28
Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective27
A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models27
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT26
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities26
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data26
Inferencing hourly traffic volume using data-driven machine learning and graph theory26
Numerical modelling for analysis of the effect of different urban green spaces on urban heat load patterns in the present and in the future25
Assessing the effects of bus stop relocation on street robbery25
Assessing the influence of point-of-interest features on the classification of place categories24
Scaling of urban economic outputs: insights both from urban population size and population mobility24
Economic and technical assessment of rooftop solar photovoltaic potential in Brownsville, Texas, U.S.A24
Automated reconstruction of 3D input data for noise simulation23
Peeking inside the black-box: Explainable machine learning applied to household transportation energy consumption23
Advancing scenario planning through integrating urban growth prediction with future flood risk models23
Mobile phone location data for disasters: A review from natural hazards and epidemics23
Establishing a citywide street tree inventory with street view images and computer vision techniques23
Geographic micro-process model: Understanding global urban expansion from a process-oriented view22
Calibrating SLEUTH with big data: Projecting California's land use to 210022
Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation22
Healthier routes planning: A new method and online implementation for minimizing air pollution exposure risk22
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG21
Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City21
Discovering traffic congestion through traffic flow patterns generated by moving object trajectories21
Towards user-driven earth observation-based slum mapping21
Modeling urban development and its exposure to river flood risk in Southeast Asia21
Towards generating network of bikeways from Mapillary data21
Quantify city-level dynamic functions across China using social media and POIs data21
Sensing urban poverty: From the perspective of human perception-based greenery and open-space landscapes21
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China21
The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc21
Advances in portable sensing for urban environments: Understanding cities from a mobility perspective20
Impact of extreme weather events on urban human flow: A perspective from location-based service data20
Quality assessment of crowdsourced social media data for urban flood management20
Modelling multi-regional urban growth with multilevel logistic cellular automata20
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity20
Sensing urban soundscapes from street view imagery19
Free and open source urbanism: Software for urban planning practice19
An efficient dynamic route optimization for urban flooding evacuation based on Cellular Automata19
Urban expansion simulation from the perspective of land acquisition-based on bargaining model and ant colony optimization19
BiFlowLISA: Measuring spatial association for bivariate flow data19
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction19
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature19
Life is a scene and we are the actors: Assessing the usefulness of planning support theatres for smart city planning19
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review18
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area18
Measuring inequalities in urban systems: An approach for evaluating the distribution of amenities and burdens18
Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night18
Comprehensive decision-strategy space exploration for efficient territorial planning strategies18
An iterative tessellation-based analytical approach to the design and planning of waste management regions18
An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways18
You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data17
A data-driven agent-based simulation to predict crime patterns in an urban environment17
Modelling the effect of landmarks on pedestrian dynamics in urban environments17
ViCTS: A novel network partition algorithm for scalable agent-based modeling of mass evacuation17
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area17
Probabilistic allocation and scheduling of multiple resources for emergency operations; a Victorian bushfire case study17
Road network evolution in the urban and rural United States since 190017
A multi-objective Markov Chain Monte Carlo cellular automata model: Simulating multi-density urban expansion in NYC16
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding16
Multiscale analysis of the influence of street built environment on crime occurrence using street-view images16
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea16
Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images16
A spatiotemporal dynamic analyses approach for dockless bike-share system16
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
An agent-based model of public space use16
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