Dissertation/Thesis Abstract

Systematic social observation with virtual imagery: Urban density and residential burglary
by Bates, Christopher J., M.S., California State University, Long Beach, 2014, 131; 1570824
Abstract (Summary)

Researchers have studied the concentration of crime and place for over three centuries. The street segment is an ideal unit to assess physical features and social characteristics of an area that contribute to crime concentration. The present exploratory study introduces an instrument and methodology for capturing features of road segments associated with crime from virtual imagery. One hundred and sixty street segments of Santa Ana, CA were observed with The Environmental Land Use Opportunity Systematic Social Observation Instrument and Google Street View. Virtually noted environmental features, including property types and unit counts, were associated with the block concentration of burglaries in 2011. The implications of using virtual technologies to remotely study crime and place are discussed.

Indexing (document details)
Advisor: Malm, Aili
Commitee: Nash, Rebecca M., Vogel, Brenda L.
School: California State University, Long Beach
Department: Criminal Justice
School Location: United States -- California
Source: MAI 54/02M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Social research, Criminology, Remote sensing
Keywords: Burglary, Google street view, Streets, Systematic social observation
Publication Number: 1570824
ISBN: 9781321400410
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