Computers Environment and Urban Systems

Papers
(The TQCC of Computers Environment and Urban Systems is 19. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City432
Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios112
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity97
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?93
A land-use transport-interaction framework for large scale strategic urban modeling81
Function and form of U.S. cities80
An integrated global model of local urban development and population change79
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models79
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels76
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–202175
Characterizing residential segregation in cities using intensity, separation, and scale indicators72
Large-scale agent-based modelling of street robbery using graphical processing units and reinforcement learning67
A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments66
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey65
Quality assessment of crowdsourced social media data for urban flood management63
Enhanced solution capabilities for multiple patch land allocation62
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation61
Locating offenders: Introducing the reverse spatial patterning approach61
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater59
The language of neighborhoods: A predictive-analytical framework based on property advertisement text and mortgage lending data58
Detecting cities with high intermediacy in the African urban network56
Analyzing usage patterns from video data through deep learning: The case of an urban park54
Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London53
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area49
Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning48
A framework for modelling spatio-temporal informal settlement growth prediction47
Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis46
A user-friendly assessment of six commonly used urban growth models42
‘Green or short: choose one’ - A comparison of walking accessibility and greenery in 43 European cities42
Understanding the protection of privacy when counting subway travelers through anonymization42
Exploring the viability of walk-sharing in outdoor urban spaces40
Strategic allocation of landmarks to reduce uncertainty in indoor navigation39
Corrigendum to “An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding” [Computers, Environment and Urban Systems 80 (39
Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression38
Editorial Board38
Machine learning application to spatio-temporal modeling of urban growth37
Machine learning to model gentrification: A synthesis of emerging forms37
Towards generating network of bikeways from Mapillary data37
Does partition matter? A new approach to modeling land use change37
Interpretable machine learning models for crime prediction35
A graph-based neural network approach to integrate multi-source data for urban building function classification35
Revealing correlation patterns of individual location activity motifs between workdays and day-offs using massive mobile phone data35
Capturing the spatial arrangement of POIs in crime modeling35
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning33
Delineating functional urban areas in Chinese mega city regions using fine-grained population data and cellphone location data: A case of Pearl River Delta33
Editorial Board33
Flow trace: A novel representation of intra-urban movement dynamics32
A new geodemographic classification of the influence of neighbourhood characteristics on crime: The case of Leeds, UK31
Information propagation on cyber, relational and physical spaces about covid-19 vaccine: Using social media and splatial framework31
Predicting Desire Paths: Agent-Based Simulation for Neighbourhood Route Planning30
The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network30
Logistic facility identification from spatial time series data30
Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset29
Shortest covering paths and other covering walks: Refinements and prospects for subtour prevention29
Automatic detection of potential mosquito breeding sites from aerial images acquired by unmanned aerial vehicles28
Predicting individuals' car accident risk by trajectory, driving events, and geographical context28
How regularly do people visit service places?28
Large-scale agent-based simulation model of pedestrian traffic flows28
A heuristic algorithm for balancing workloads in coverage modeling27
An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale27
Utilizing geo-referenced imagery for systematic social observation of neighborhood disorder27
Integrating species distribution and piecewise linear regression model to identify functional connectivity thresholds to delimit urban ecological corridors27
Editorial Board26
Smart water metering as a non-invasive tool to infer dwelling type and occupancy – Implications for the collection of neighbourhood-level housing and tourism statistics26
“Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review26
From points to patterns: An explorative POI network study on urban functional distribution26
Exploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)25
A comparison between residential relocation timing of Sydney and Chicago residents: A Bayesian survival analysis25
Shared automated vehicle fleet operations for first-mile last-mile transit connections with dynamic pooling25
Investigating path dependence and spatial characteristics for retail success using location allocation and agent-based approaches25
Generative population synthesis for joint household and individual characteristics25
Application of the local colocation quotient method in jobs-housing balance measurement based on mobile phone data: A case study of Nanjing City24
When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates24
Multi-objective optimization of urban environmental system design using machine learning23
Constructing multi-level urban clusters based on population distributions and interactions23
Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images23
Diversity and density of urban functions in station areas23
Unravelling intercity mobility patterns in China using multi-year big data: A city classification based on monthly fluctuations and year-round trends23
Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining23
Exploring the built environment impacts on Online Car-hailing waiting time: An empirical study in Beijing22
A systematic review of agent-based models for autonomous vehicles in urban mobility and logistics: Possibilities for integrated simulation models22
Jointly spatial-temporal representation learning for individual trajectories22
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG22
Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks22
Calibration of cellular automata urban growth models from urban genesis onwards - a novel application of Markov chain Monte Carlo approximate Bayesian computation22
Intra-urban land use maps for a global sample of cities from Sentinel-2 satellite imagery and computer vision22
The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density21
A topology-based approach to identifying urban centers in America using multi-source geospatial big data21
Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change21
Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model21
Patterns of urban foot traffic dynamics21
Editorial Board21
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches20
Creating spatially complete zoning maps using machine learning20
ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data20
Simulating household energy behavior diffusion using spatial microsimulation and econometric models20
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints20
Fire and smoke digital twin – A computational framework for modeling fire incident outcomes20
Road network evolution in the urban and rural United States since 190020
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction20
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios20
UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints20
A specialized inclusive road dataset with elevation profiles for realistic pedestrian navigation using open geospatial data and deep learning19
Editorial Board19
Editorial Board19
Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data19
Governance of flood risk data: A comparative analysis of government and insurance geospatial data for identifying properties at risk of flood19
KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China19
Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users19
Socio-spatial segregation and human mobility: A review of empirical evidence19
Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery19
Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments19
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