Computers Environment and Urban Systems

Papers
(The H4-Index of Computers Environment and Urban Systems is 36. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
The use of urban analytics in strategic planning – A case study of the greater Sydney region plan354
Using computer vision and street view images to assess bus stop amenities110
Measuring children's and adolescents' accessibility to greenspaces from different locations and commuting settings102
Perceptions of space and time of public transport travel associated with human brain activities: A case study of bus travel in Beijing93
Quantitative assessment and comparison of urban patterns in Germany and the United States90
Developing two-dimensional indicators of transport demand and supply to promote sustainable transportation equity76
Urban streets profiling with coupled spatio-temporal characteristics and topological information from the biking perspective75
Creating spatially complete zoning maps using machine learning74
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels73
Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications70
The Individual Walkable Neighborhood - Evaluating people-centered spatial units focusing on urban density69
Optimization of urban greenway route using a coverage maximization model for lines64
Editorial Board62
What we can learn from selected, unmatched data: Measuring internet inequality in Chicago62
A framework for human-computer interactive street network design based on a multi-stage deep learning approach57
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–202156
Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data56
High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines56
Editorial Board56
Combining spatial and sociodemographic regression techniques to predict residential fire counts at the census tract level53
Indoor mobility data encoding with TSTM-in: A topological-semantic trajectory model53
Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images52
ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data50
Identifying the spatial footprint of pollen distributions using the Geoforensic Interdiction (GOFIND) model49
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction49
Patterns of urban foot traffic dynamics48
Evolutions of households with every member out-of-home across Japanese cities from 1987 to 201547
Early warning of COVID-19 hotspots using human mobility and web search query data45
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints42
A land-use transport-interaction framework for large scale strategic urban modeling42
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City41
A topology-based approach to identifying urban centers in America using multi-source geospatial big data39
Does real time experience matter? Comparison of retrospective and in-situ spatial data in participatory mapping38
Post-disaster recovery policy assessment of urban socio-physical systems37
How shareable is your trip? A path-based analysis of ridesplitting trip shareability36
UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints36
Function and form of U.S. cities36
0.07309103012085