Measuring the Built Environment with Google Street View and Machine Learning: Consequences for Crime on Street Segments

Objectives Despite theoretical interest in how dimensions of the built environment can help explain the location of crime in micro − geographic units, measuring this is difficult. Methods This study adopts a strategy that first scrapes images from Google Street View every 20 meters in every street s...

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Bibliographic Details
Main Author: Hipp, John R. (Author)
Contributors: Lee, Sugie ; Ki, Donghwan ; Kim, Jae Hong
Format: Electronic Article
Language:English
Published: 2022
In: Journal of quantitative criminology
Year: 2022, Volume: 38, Issue: 3, Pages: 537-565
Online Access: Presumably Free Access
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Keywords:
Built Environment
Crime
Google Street View
Machine Learning
Semantic Segmentation