Environment and Planning B-Urban Analytics and City Science

Papers
(The H4-Index of Environment and Planning B-Urban Analytics and City Science 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Modeling the relationships between historical redlining, urban heat, and heat-related emergency department visits: An examination of 11 Texas cities38
Will coronavirus cause a big city exodus?34
Urban function recognition by integrating social media and street-level imagery33
Associations between the quality of street space and the attributes of the built environment using large volumes of street view pictures26
Examining the spatial distribution and temporal change of the green view index in New York City using Google Street View images and deep learning26
The interplay of spatial spread of COVID-19 and human mobility in the urban system of China during the Chinese New Year26
Sidewalk extraction using aerial and street view images25
Polycentric urban development and urban amenities: Evidence from Chinese cities21
When COVID-19 came to town: Measuring the impact of the coronavirus pandemic on footfall on six high streets in England20
Sustainable and inclusive – Evaluating urban sustainability indicators’ suitability for measuring progress towards SDG-1118
The private rental housing market before and during the COVID-19 pandemic: A submarket analysis in Cracow, Poland17
Methodological foundation of a numerical taxonomy of urban form16
Towards a 15-minute city: A network-based evaluation framework16
Regional differences in resilience of social and physical systems: Case study of Puerto Rico after Hurricane Maria16
There will be no Post-COVID city16
Measuring urban nighttime vitality and its relationship with urban spatial structure: A data-driven approach15
Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest15
Human mobility data and analysis for urban resilience: A systematic review15
Stimulating urban walking environments – Can we measure the effect?15
Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises15
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