Do Bus Stops Increase Crime Opportunities?

By:

Yu, Sung-Suk Violet

Material type: Text

TextSeries: Criminal justice (LFB Scholarly Publishing LLC)Publication details: El Paso : LFB Scholarly Pub. LLC, 2011.Description: 1 online resource (322 pages)Content type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781593326722
1593326726

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Do Bus Stops Increase Crime Opportunities?DDC classification:

364.2/2 364.22

LOC classification:

HV6791 .Y8 2011

Online resources:

Click here to access online

Contents:

List of Tables; List of Figures; List of Abbreviations; Acknowledgement; Chapter 1: Introduction: Bus Stops and Crime Opportunities; Chapter 2: Crimes Around Mass Transit: Causes or Byproducts?; Chapter 3: Theoretical Framework and Research Questions; Chapter 4: Gathering and Cleaning Data to Answer Questions; Chapter 5: Plan to Address Spatial Aspect of Data; Chapter 6: Geocoding Crime; Chapter 7: Exploratory Data Analysis Results; Chapter 8: Regression Analysis Results; Chapter 9: Conclusions and Discussions; Appendix A: Data Analysis Results on Robbery.

Appendix B: Data Analysis Results on Aggravated AssaultAppendix C: Data Analysis Results on Motor Vehicle Theft; Appendix D: Data Analysis Results on Theft From Motor Vehicle; Appendix E: Data Analysis Results on Burglary; References; Index.

Summary: Using the frameworks of routine activity, crime pattern and rational choice theories, Yu investigates the relationship between bus stops, businesses, and five offense types (robbery, aggravated assault, motor vehicle theft, theft from motor vehicle, and burglary) in Newark, New Jersey. Several data analysis methods were used to examine the impact of bus stops and businesses on crime. Overall, both bus stops and commercial establishments were associated with increased crime. Among business types, the category of food store was always related to increased crime across offense types and regressio.

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Using the frameworks of routine activity, crime pattern and rational choice theories, Yu investigates the relationship between bus stops, businesses, and five offense types (robbery, aggravated assault, motor vehicle theft, theft from motor vehicle, and burglary) in Newark, New Jersey. Several data analysis methods were used to examine the impact of bus stops and businesses on crime. Overall, both bus stops and commercial establishments were associated with increased crime. Among business types, the category of food store was always related to increased crime across offense types and regressio.