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Lukas Ljungqvist

Biographic Data

ID5238017
NAMELukas Ljungqvist
GIVEN NAMESLukas
FAMILY NAMELjungqvist
SIGNATURELJUNGQVIST L
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS1
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX1
  • What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images

    Open Access•Vania Ceccato, Yuhao Kang et al.•ARTICLE•The British Journal of Criminology•2026•Cited by: 1•References: 45

    This article investigates what causes an urban environment to be perceived as safe using Stockholm, the capital of Sweden, as the study area. The study integrates AI-generated safety scores from street view images, image segmentation techniques and conventional and crowdsourced data using Geographical Information Systems (GIS) and regression models. After accounting for income, crime and other area characteristics, the models reveal that areas wi…

  • Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden

    Open Access•Yuhao Kang, Jonatan Abraham et al.•ARTICLE•Landscape and Urban Planning•2023

  • What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images

    Open Access•Vania Ceccato, Yuhao Kang et al.•ARTICLE•The British Journal of Criminology•2026•Cited by: 1•References: 45

    This article investigates what causes an urban environment to be perceived as safe using Stockholm, the capital of Sweden, as the study area. The study integrates AI-generated safety scores from street view images, image segmentation techniques and conventional and crowdsourced data using Geographical Information Systems (GIS) and regression models. After accounting for income, crime and other area characteristics, the models reveal that areas wi…

  • Assessing differences in safety perceptions using GeoAI and survey across neighbourhoods in Stockholm, Sweden

    Open Access•Yuhao Kang, Jonatan Abraham et al.•ARTICLE•Landscape and Urban Planning•2023

  • What Makes a Place Safe? Assessing AI-Generated Safety Perception Scores Using Stockholm’s Street View Images

    Open Access•Vania Ceccato, Yuhao Kang et al.•ARTICLE•The British Journal of Criminology•2026•Cited by: 1•References: 45

    This article investigates what causes an urban environment to be perceived as safe using Stockholm, the capital of Sweden, as the study area. The study integrates AI-generated safety scores from street view images, image segmentation techniques and conventional and crowdsourced data using Geographical Information Systems (GIS) and regression models. After accounting for income, crime and other area characteristics, the models reveal that areas wi…

Applied Psychology (2 works) · Geography (2 works) · Perception (2 works) · Psychology (2 works) · Traffic and Road Safety (2 works) · Cartography (1 works) · Computer Science (1 works) · Crime Patterns and Interventions (1 works) · Demographics (1 works) · Demography (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae