Do Bus Stops Increase Crime Opportunities?:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
El Paso
LFB Scholarly Pub. LLC
2011
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Schriftenreihe: | Criminal justice (LFB Scholarly Publishing LLC)
|
Schlagworte: | |
Online-Zugang: | FAW01 FAW02 Volltext |
Beschreibung: | 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 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 Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressource (322 pages) |
ISBN: | 1593326726 9781593326722 |
Internformat
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500 | |a 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 | ||
500 | |a 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 | ||
500 | |a Includes bibliographical references and index | ||
650 | 4 | |a Crime forecasting / United States / Case studies | |
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Datensatz im Suchindex
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any_adam_object | |
author | Yu, Sung-Suk Violet |
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dewey-ones | 364 - Criminology |
dewey-raw | 364.22 364.2/2 |
dewey-search | 364.22 364.2/2 |
dewey-sort | 3364.22 |
dewey-tens | 360 - Social problems and services; associations |
discipline | Rechtswissenschaft |
format | Electronic eBook |
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spelling | Yu, Sung-Suk Violet Verfasser aut Do Bus Stops Increase Crime Opportunities? El Paso LFB Scholarly Pub. LLC 2011 1 Online-Ressource (322 pages) txt rdacontent c rdamedia cr rdacarrier Criminal justice (LFB Scholarly Publishing LLC) 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 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 Includes bibliographical references and index Crime forecasting / United States / Case studies Criminal behavior, Prediction of / United States / Case studies Criminal methods / United States / Case studies SOCIAL SCIENCE / Criminology bisacsh Crime forecasting fast Criminal behavior, Prediction of fast Criminal methods fast Criminal methods United States Case studies Criminal behavior, Prediction of United States Case studies Crime forecasting United States Case studies USA (DE-588)4522595-3 Fallstudiensammlung gnd-content Erscheint auch als Druckausgabe 1-59332-455-3 Erscheint auch als Druckausgabe 978-1-59332-455-1 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=520577 Aggregator Volltext |
spellingShingle | Yu, Sung-Suk Violet Do Bus Stops Increase Crime Opportunities? Crime forecasting / United States / Case studies Criminal behavior, Prediction of / United States / Case studies Criminal methods / United States / Case studies SOCIAL SCIENCE / Criminology bisacsh Crime forecasting fast Criminal behavior, Prediction of fast Criminal methods fast Criminal methods United States Case studies Criminal behavior, Prediction of United States Case studies Crime forecasting United States Case studies |
subject_GND | (DE-588)4522595-3 |
title | Do Bus Stops Increase Crime Opportunities? |
title_auth | Do Bus Stops Increase Crime Opportunities? |
title_exact_search | Do Bus Stops Increase Crime Opportunities? |
title_full | Do Bus Stops Increase Crime Opportunities? |
title_fullStr | Do Bus Stops Increase Crime Opportunities? |
title_full_unstemmed | Do Bus Stops Increase Crime Opportunities? |
title_short | Do Bus Stops Increase Crime Opportunities? |
title_sort | do bus stops increase crime opportunities |
topic | Crime forecasting / United States / Case studies Criminal behavior, Prediction of / United States / Case studies Criminal methods / United States / Case studies SOCIAL SCIENCE / Criminology bisacsh Crime forecasting fast Criminal behavior, Prediction of fast Criminal methods fast Criminal methods United States Case studies Criminal behavior, Prediction of United States Case studies Crime forecasting United States Case studies |
topic_facet | Crime forecasting / United States / Case studies Criminal behavior, Prediction of / United States / Case studies Criminal methods / United States / Case studies SOCIAL SCIENCE / Criminology Crime forecasting Criminal behavior, Prediction of Criminal methods Criminal methods United States Case studies Criminal behavior, Prediction of United States Case studies Crime forecasting United States Case studies USA Fallstudiensammlung |
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work_keys_str_mv | AT yusungsukviolet dobusstopsincreasecrimeopportunities |