Computers Environment and Urban Systems

Papers
(The TQCC of Computers Environment and Urban Systems is 22. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021934
Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios131
An integrated global model of local urban development and population change117
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity115
A critical assessment of selected urban resilience decision-support tools in the United States108
A land-use transport-interaction framework for large scale strategic urban modeling99
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?87
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models87
Function and form of U.S. cities84
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels79
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City73
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area73
Modeling shared e-micromobility as a label propagation process for detecting overlapping communities73
Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning72
Locating offenders: Introducing the reverse spatial patterning approach65
A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments64
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation63
Detecting cities with high intermediacy in the African urban network61
Why same datasets yield different environment–activity relationships? Hidden uncertainties in geospatial processing methods58
Analyzing usage patterns from video data through deep learning: The case of an urban park57
Characterizing residential segregation in cities using intensity, separation, and scale indicators57
Enhanced solution capabilities for multiple patch land allocation55
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey55
A user-friendly assessment of six commonly used urban growth models53
Large-scale agent-based modelling of street robbery using graphical processing units and reinforcement learning53
‘Green or short: choose one’ - A comparison of walking accessibility and greenery in 43 European cities53
Strategic allocation of landmarks to reduce uncertainty in indoor navigation48
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning47
Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis46
Capturing the spatial arrangement of POIs in crime modeling46
Understanding the protection of privacy when counting subway travelers through anonymization45
Hedonic price models, social media data and AI – An application to the AIRBNB sector in us cities44
Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression44
Machine learning application to spatio-temporal modeling of urban growth43
A graph-based neural network approach to integrate multi-source data for urban building function classification43
Machine learning to model gentrification: A synthesis of emerging forms41
Interpretable machine learning models for crime prediction41
Does partition matter? A new approach to modeling land use change40
The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network39
Logistic facility identification from spatial time series data39
How regularly do people visit service places?38
Areal interpolation of population projections consistent with different SSPs from 1-km resolution to block level based on USA Structures dataset38
Editorial Board38
Information propagation on cyber, relational and physical spaces about covid-19 vaccine: Using social media and splatial framework37
Shortest covering paths and other covering walks: Refinements and prospects for subtour prevention37
Editorial Board36
Predicting Desire Paths: Agent-Based Simulation for Neighbourhood Route Planning36
Flow trace: A novel representation of intra-urban movement dynamics36
An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale36
Modelling active travel accessibility at the micro-scale using multi-source built environment data36
Integrating species distribution and piecewise linear regression model to identify functional connectivity thresholds to delimit urban ecological corridors35
Large-scale agent-based simulation model of pedestrian traffic flows35
Editorial Board34
Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images34
Constructing multi-level urban clusters based on population distributions and interactions34
When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates34
Multi-objective optimization of urban environmental system design using machine learning34
Measuring nuanced walkability: Leveraging ChatGPT's vision reasoning with multisource spatial data34
Unravelling intercity mobility patterns in China using multi-year big data: A city classification based on monthly fluctuations and year-round trends33
Investigating path dependence and spatial characteristics for retail success using location allocation and agent-based approaches33
From points to patterns: An explorative POI network study on urban functional distribution33
Smart water metering as a non-invasive tool to infer dwelling type and occupancy – Implications for the collection of neighbourhood-level housing and tourism statistics33
Application of the local colocation quotient method in jobs-housing balance measurement based on mobile phone data: A case study of Nanjing City32
Exploring the built environment impacts on Online Car-hailing waiting time: An empirical study in Beijing32
Digital twins and AI for healthy and sustainable cities32
Generative population synthesis for joint household and individual characteristics32
Intra-urban land use maps for a global sample of cities from Sentinel-2 satellite imagery and computer vision32
Jointly spatial-temporal representation learning for individual trajectories31
Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change31
Impact of 3-D urban landscape patterns on the outdoor thermal environment: A modelling study with SOLWEIG30
Modeling spatial and temporal urban environmental noise using street view imagery and machine learning30
Mapping priority zones for urban heat mitigation in Shanghai: Heat risk vs. shelter provision30
Detecting changes in spatial characteristics of Colorado human-caused wildfires using APRIORI-based frequent itemset mining30
Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks30
Torque work of origin-destination flows: Quantifying urban place centrality from a physical perspective29
Measuring evacuation rates from mobility data during the McDougall Creek wildfire in British Columbia, Canada29
Creating spatially complete zoning maps using machine learning29
Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model29
Auditing the fairness of place-based crime prediction models implemented with deep learning approaches29
Editorial Board29
Exploring climate-induced migration impacts on urban growth28
Learning street view representations based on a spatiotemporal contrastive learning framework28
Fire and smoke digital twin – A computational framework for modeling fire incident outcomes28
Advancing population-targeted urban sensing: A comparative study on mobile and static sensing paradigms28
The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density28
A topology-based approach to identifying urban centers in America using multi-source geospatial big data27
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints26
UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints26
Road network evolution in the urban and rural United States since 190026
Optimizing urban green space spatial patterns for thermal environment improvement: A multi-objective approach in the context of urban renewal25
A specialized inclusive road dataset with elevation profiles for realistic pedestrian navigation using open geospatial data and deep learning25
Simulating household energy behavior diffusion using spatial microsimulation and econometric models25
Characterizing the activity patterns of outdoor jogging using massive multi-aspect trajectory data25
Editorial Board25
Detecting older pedestrians and aging-friendly walkability using computer vision technology and street view imagery24
Urban visual uniqueness: A landmark-free framework to quantify city's identity and distinctiveness from everyday scenes24
Socio-spatial segregation and human mobility: A review of empirical evidence24
Housing segregation in Chinese major cities: A K-nearest neighbor analysis of longitudinal big data24
Editorial Board23
Realized spatial accessibility vs. potential spatial accessibility in the United States: A case study based on geospatial big data23
Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments23
Editorial Board23
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas22
Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users22
ScaleFC: A scale-aware geographical flow clustering algorithm for heterogeneous origin-destination data22
Capturing urban recreational hotspots from GPS data: A new framework in the lens of spatial heterogeneity22
Investigating the spatiotemporal pattern between the built environment and urban vibrancy using big data in Shenzhen, China22
Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost22
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