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.
|Commitee:||Nash, Rebecca M., Vogel, Brenda L.|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 54/02M(E), Masters Abstracts International|
|Subjects:||Social research, Criminology, Remote sensing|
|Keywords:||Burglary, Google street view, Streets, Systematic social observation|
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