LEADER 03266nam 2200589Ia 450 001 9910785946903321 005 20230725034805.0 010 $a1-59332-672-6 035 $a(CKB)2670000000271360 035 $a(EBL)1057881 035 $a(OCoLC)818818952 035 $a(SSID)ssj0000755506 035 $a(PQKBManifestationID)11496689 035 $a(PQKBTitleCode)TC0000755506 035 $a(PQKBWorkID)10730467 035 $a(PQKB)10042852 035 $a(MiAaPQ)EBC1057881 035 $a(Au-PeEL)EBL1057881 035 $a(CaPaEBR)ebr10622759 035 $a(EXLCZ)992670000000271360 100 $a20110121d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDo bus stops increase crime opportunities?$b[electronic resource] /$fSung-suk Violet Yu 210 $aEl Paso, Tex. $cLFB Scholarly Pub.$d2011 215 $a1 online resource (322 p.) 225 1 $aCriminal justice: recent scholarship 300 $aDescription based upon print version of record. 311 $a1-59332-455-3 320 $aIncludes bibliographical references and index. 327 $aCONTENTS; 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 327 $aAppendix 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 330 $aUsing the frameworks of routine activity, crime pattern and rational choice theories, Yu investigates the relationship between bus stops, businesses, and five offense types (robbery, aggravated assault, motor vehicle theft, theft from motor vehicle, and burglary) in Newark, New Jersey. Several data analysis methods were used to examine the impact of bus stops and businesses on crime. Overall, both bus stops and commercial establishments were associated with increased crime. Among business types, the category of food store was always related to increased crime across offense types and regressio 410 0$aCriminal justice (LFB Scholarly Publishing LLC) 606 $aCriminal methods$zUnited States$vCase studies 606 $aCriminal behavior, Prediction of$zUnited States$vCase studies 606 $aCrime forecasting$zUnited States$vCase studies 615 0$aCriminal methods 615 0$aCriminal behavior, Prediction of 615 0$aCrime forecasting 676 $a364.2/2 700 $aYu$b Sung-suk Violet$f1971-$01465612 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785946903321 996 $aDo bus stops increase crime opportunities$93675715 997 $aUNINA