OOIR: Observatory of International Research

Papers

(The TQCC of Computers Environment and Urban Systems is 15. 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.)

Article	Citations
Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China	488
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility	114
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost	93
How did micro-mobility change in response to COVID-19 pandemic? A case study based on spatial-temporal-semantic analytics	74
Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach	69
Uncovering inconspicuous places using social media check-ins and street view images	66
Classification of urban morphology with deep learning: Application on urban vitality	55
Impacts of tree and building shades on the urban heat island: Combining remote sensing, 3D digital city and spatial regression approaches	54
Estimating pedestrian volume using Street View images: A large-scale validation test	54
Modeling urban growth using spatially heterogeneous cellular automata models: Comparison of spatial lag, spatial error and GWR	53
Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems	52
The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level	52
Scale effects in remotely sensed greenspace metrics and how to mitigate them for environmental health exposure assessment	43
Desirable streets: Using deviations in pedestrian trajectories to measure the value of the built environment	43
Global Building Morphology Indicators	42
Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions	41
Decoding urban landscapes: Google street view and measurement sensitivity	40
Land suitability and urban growth modeling: Development of SLEUTH-Suitability	40
Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches	40
Integrating a Forward Feature Selection algorithm, Random Forest, and Cellular Automata to extrapolate urban growth in the Tehran-Karaj Region of Iran	38
Spatial biases in crowdsourced data: Social media content attention concentrates on populous areas in disasters	37
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London	37
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery	37
Delineating urban park catchment areas using mobile phone data: A case study of Tokyo	35
Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning	34

Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic	34
Urban morphology and traffic congestion: Longitudinal evidence from US cities	34
Estimating congestion zones and travel time indexes based on the floating car data	33
Flood depth mapping in street photos with image processing and deep neural networks	32
Estimating quality of life dimensions from urban spatial pattern metrics	32
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China	32
Places for play: Understanding human perception of playability in cities using street view images and deep learning	32
Domain-specific sentiment analysis for tweets during hurricanes (DSSA-H): A domain-adversarial neural-network-based approach	31
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios	30
A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method	30
Interpretable machine learning models for crime prediction	30
Quality of location-based crowdsourced speed data on surface streets: A case study of Waze and Bluetooth speed data in Sevierville, TN	29
Inferencing hourly traffic volume using data-driven machine learning and graph theory	29
3D city models for urban farming site identification in buildings	29
VictimFinder: Harvesting rescue requests in disaster response from social media with BERT	29
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 models	28
Towards a multidimensional view of tourist mobility patterns in cities: A mobile phone data perspective	28
Mobile phone location data for disasters: A review from natural hazards and epidemics	27
Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data	27
A geographic data science framework for the functional and contextual analysis of human dynamics within global cities	27
Numerical modelling for analysis of the effect of different urban green spaces on urban heat load patterns in the present and in the future	25
Establishing a citywide street tree inventory with street view images and computer vision techniques	25
Scaling of urban economic outputs: insights both from urban population size and population mobility	25
Peeking inside the black-box: Explainable machine learning applied to household transportation energy consumption	24
Assessing the influence of point-of-interest features on the classification of place categories	24
Quality assessment of crowdsourced social media data for urban flood management	24
Impact of extreme weather events on urban human flow: A perspective from location-based service data	23
Mapping the geodemographics of digital inequality in Great Britain: An integration of machine learning into small area estimation	23
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review	23
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China	23
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG	23
Advancing scenario planning through integrating urban growth prediction with future flood risk models	23
Geographic micro-process model: Understanding global urban expansion from a process-oriented view	22
Quantify city-level dynamic functions across China using social media and POIs data	22
Towards generating network of bikeways from Mapillary data	22
Towards user-driven earth observation-based slum mapping	22
Calibrating SLEUTH with big data: Projecting California's land use to 2100	22
Identifying and understanding road-constrained areas of interest (AOIs) through spatiotemporal taxi GPS data: A case study in New York City	22
Advances in portable sensing for urban environments: Understanding cities from a mobility perspective	21
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity	21
Modeling urban development and its exposure to river flood risk in Southeast Asia	21
BiFlowLISA: Measuring spatial association for bivariate flow data	21
Sensing urban soundscapes from street view imagery	21
Sensing urban poverty: From the perspective of human perception-based greenery and open-space landscapes	21
The importance of spatio-temporal infrastructure assessment: Evidence for 5G from the Oxford–Cambridge Arc	21
Spatio-temporal graph convolutional networks for road network inundation status prediction during urban flooding	20
Life is a scene and we are the actors: Assessing the usefulness of planning support theatres for smart city planning	20
An extended patch-based cellular automaton to simulate horizontal and vertical urban growth under the shared socioeconomic pathways	20
An efficient dynamic route optimization for urban flooding evacuation based on Cellular Automata	20

Free and open source urbanism: Software for urban planning practice	20
GSAM: A deep neural network model for extracting computational representations of Chinese addresses fused with geospatial feature	19
Urban expansion simulation from the perspective of land acquisition-based on bargaining model and ant colony optimization	19
Measuring inequalities in urban systems: An approach for evaluating the distribution of amenities and burdens	19
Integrating spatial nonstationarity into SLEUTH for urban growth modeling: A case study in the Wuhan metropolitan area	19
Multiscale analysis of the influence of street built environment on crime occurrence using street-view images	19
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction	19
An iterative tessellation-based analytical approach to the design and planning of waste management regions	18
Comprehensive decision-strategy space exploration for efficient territorial planning strategies	18
Probabilistic allocation and scheduling of multiple resources for emergency operations; a Victorian bushfire case study	18
Incorporating space and time into random forest models for analyzing geospatial patterns of drug-related crime incidents in a major U.S. metropolitan area	18
A data-driven agent-based simulation to predict crime patterns in an urban environment	18
Road network evolution in the urban and rural United States since 1900	18
You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data	18
A spatiotemporal dynamic analyses approach for dockless bike-share system	17
Automatic detection of potential mosquito breeding sites from aerial images acquired by unmanned aerial vehicles	17
An agent-based model of public space use	17
Modelling the effect of landmarks on pedestrian dynamics in urban environments	17
Towards the automated large-scale reconstruction of past road networks from historical maps	17
A multi-objective Markov Chain Monte Carlo cellular automata model: Simulating multi-density urban expansion in NYC	16
Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches	16
Space-time analytics of human physiology for urban planning	16
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 data	16
A new approach to detecting and designing living structure of urban environments	16
ACCESS: An agent-based model to explore job accessibility inequalities	16
Understanding the movement predictability of international travelers using a nationwide mobile phone dataset collected in South Korea	16
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas	16
Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images	16
Which city is the greenest? A multi-dimensional deconstruction of city rankings	15
Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users	15
GeoAI in terrain analysis: Enabling multi-source deep learning and data fusion for natural feature detection	15
Mapping dynamic peri-urban land use transitions across Canada using Landsat time series: Spatial and temporal trends and associations with socio-demographic factors	15
Optimization of carsharing fleet size to maximize the number of clients served	15
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater	15