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 2020-11-01 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
Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment53
Global Building Morphology Indicators53
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions53
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
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review36
3D city models for urban farming site identification in buildings36
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method34
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data33
Modeling urban growth sustainability in the cloud by augmenting Google Earth Engine (GEE)33
Modeling urban development and its exposure to river flood risk in Southeast Asia32
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding32
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
Free and open source urbanism: Software for urban planning practice30
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
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
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area23
Multi-objective optimization of urban environmental system design using machine learning23
Urban morphological regionalization based on 3D building blocks—A case in the central area of Chengdu, China22
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
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
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
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
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea19
Optimization of carsharing fleet size to maximize the number of clients served19
Determination of building flood risk maps from LiDAR mobile mapping data19
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
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
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
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery17
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
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
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
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