Computers Environment and Urban Systems

Papers
(The H4-Index of Computers Environment and Urban Systems is 35. 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
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
Global Building Morphology Indicators53
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London50
Decoding urban landscapes: Google street view and measurement sensitivity48
Interpretable machine learning models for crime prediction48
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
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
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic41
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
Flood depth mapping in street photos with image processing and deep neural networks40
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
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China39
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
Sensing urban soundscapes from street view imagery37
Inferencing hourly traffic volume using data-driven machine learning and graph theory37
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
0.28972697257996