Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Urban form and composition of street canyons: A human-centric big data and deep learning approach

9 references·1 citing·47 second hop

FromToDepth

this work references cited by second hop

References

2015Assessing street-level urban greenery using Google Street View and a modified green view index1,074 cited
2001The Built Environment and Human Activity Patterns: Exploring the Impacts of Urban Form on Public Health620 cited
1996Methodologies for exploring the link between urban form and travel behavior585 cited
1996Urban Form, Energy and the Environment: A Review of Issues, Evidence and Policy536 cited
2002Urban Form and Travel Behaviour: Micro-level Household Attributes and Residential Context480 cited
2015Who lives in greener neighborhoods? The distribution of street greenery and its association with residents’ socioeconomic conditions in Hartford, Connecticut, USA233 cited
2016Seeing Cities Through Big Data213 cited
2017Urban Form, Air Pollution, and Health182 cited
2013Health and the Built Environment: 10 Years After174 cited

Cited by

2021Classification of urban morphology with deep learning: Application on urban vitality178 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work