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Who lives in greener neighborhoods? The distribution of street greenery and its association with residents’ socioeconomic conditions in Hartford, Connecticut, USA

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References

2010The health benefits of urban green spaces: a review of the evidence1,696 cited
2002Urban residential environments and senior citizens’ longevity in megacity areas: the importance of walkable green spaces1,361 cited
2015Assessing street-level urban greenery using Google Street View and a modified green view index1,074 cited
2001Aggression and Violence in the Inner City898 cited
2009Parks and People: An Environmental Justice Inquiry in Baltimore, Maryland862 cited
2006The Political Ecology of Uneven Urban Green Space769 cited
2005Parks and Park Funding in Los Angeles: An Equity-Mapping Analysis634 cited
2009Street Trees and Equity: Evaluating the Spatial Distribution of an Urban Amenity519 cited
2009Can you see green? Assessing the visibility of urban forests in cities357 cited
2012The relationship between tree canopy and crime rates across an urban–rural gradient in the greater Baltimore region329 cited
2013The Racial/Ethnic Distribution of Heat Risk–Related Land Cover in Relation to Residential Segregation315 cited
2012Promoting Environmental Justice Through Urban Green Space Access: A Synopsis301 cited
2012Spatial distribution of vegetation in Montreal: An uneven distribution or environmental inequity?295 cited
2009Perceived and objectively measured greenness of neighbourhoods: Are they measuring the same thing?

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239 cited

2012Does vegetation encourage or suppress urban crime? Evidence from Philadelphia, PA230 cited

2006Green Urban Political Ecologies: Toward a Better Understanding of Inner-City Environmental Change148 cited

Cited by

2017How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View215 cited
2018Urban form and composition of street canyons: A human-centric big data and deep learning approach212 cited
2021Development of a system for assessing the quality of urban street-level greenery using street view images and deep learning210 cited