Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
Published 2023 View Full Article
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Title
Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden
Authors
Keywords
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Journal
LANDSCAPE AND URBAN PLANNING
Volume 236, Issue -, Pages 104768
Publisher
Elsevier BV
Online
2023-04-19
DOI
10.1016/j.landurbplan.2023.104768
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- (2013) Philip Salesses et al. PLoS One
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