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    <subfield code="a">Identifying risky places for crime</subfield>
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    <subfield code="e">an analysis of the criminogenic spatiotemporal influences of landscape features on street robberies</subfield>
    <subfield code="f">Yasemin Irvin-Erickson</subfield>
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    <subfield code="a">[Rockville, MD]</subfield>
    <subfield code="c">National Criminal Justice Reference Service (NCJRS)</subfield>
    <subfield code="d">2015</subfield>
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    <subfield code="a">Dissertation submitted to the Graduate School-Newark Rutgers, The State University of New Jersey in partial fulfillment of requirements for the degree of  Doctor of Philosophy Graduate Program in the School of Criminal Justice (under direction of Joel M. Caplan) [and to] the U.S. Department of Justice (Award nr. 2012-IJ-CX-0005). Ficheiro de 4,52 MB em formato PDF (161 p.).</subfield>
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    <subfield code="a">Abstract. Acknowledgements. Table of contents. List of tables. List of figures. Introduction. Chapter 1: conceptual framework. 1.1. Why location matters. 1.2. Predecessors of contextual crime analysis. 1.3. Determinants of vulnerability to crime risk at micro places. Crime opportunities and risky places. Risky places and risky times. Risk terrain modeling. 1.4. Determinants of street robbery risk at micro places. Street robberies and cash economies. Street robberies and public transit stations. Street robberies and illegal markets. Street robberies, public housing, and schools. 1.5. Research questions and hypotheses. Chapter 2: study setting and data sources. 2.1. Study setting. 2.2. Data sources. Dependent variable. Independent variables. Chapter 3: the individual temporal criminogenic influences of landscape features on street robberies. 3.1. Testing hypothesis #1: do spatial extents of criminogenic influences change temporally? Choosing the spatial extents for operationalizing the spatial influences of landscape features on street robberies. Findings. Summary. 3.2. Testing hypothesis #2: Do criminogenic landscape features for street robberies vary temporally? Digitizing and testing the spatial influence of criminogenic features of the landscape with the selected spatial extents. Findings. Summary. 3.3. Testing hypothesis #3: Do weights of the criminogenic spatial influence of landscape features for street robberies vary temporally? Calculating the relative spatial influence and weight of each criminogenic risk factor. Findings. Summary. Chapter 4: the combined temporal criminogenic influences of landscape features on street robberies. 4.1. Testing Hypothesis #4 and #5: Do street robberies emerge at risky places of combined criminogenic influences at different times of the day and different days of the week? Producing composite risk terrain maps with the weighted risk map layers and testing the statistical significance of the models. Findings. Summary. Chapter 5: overview and discussion of findings. Chapter 6: conclusion. 6.1. Implications for environmental criminology. 6.2. Implications for risk assessment. 6.3. Implications for crime prevention. 6.4. Avenues for future research and concluding remarks. References.</subfield>
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