Assessing the Influence of Prior on Subsequent Street Robbery Location Choices: A Case Study in ZG City, China

The literature shows that offenders’ subsequent crime location choices are affected by their prior crime location choices. However, the published studies have focused on the influence of time and place of a previous crime, without testing the impact of whether the offender was arrested during the act of the prior crime. On the basis of the literature, this study further examines the influence of the prior robbery experiences on the subsequent street robbery location choices, by testing explicit hypotheses on how the time, place, and being arrested in the act of previous robberies affect a robber’s subsequent decisions of where to commit robberies. The data set used in this study includes 1262 detected robberies committed by 527 street robbers from the ZG City Public Security Bureau in China. Results of a mixed logit model demonstrate that prior street robbery experiences have a strong effect on subsequent street robbery location choices. A shorter time interval and less possibility of being arrested in the act of a prior street robbery significantly increase the likelihood of a robber returning to the previous location. However, the impact of distance of journey to prior crime location is not statistically significant.

[1]  W. Bernasco,et al.  Effects of residential history on commercial robbers’ crime location choices , 2010 .

[2]  Jihong Zhao,et al.  Social Attachment and Juvenile Attitudes toward the Police in China , 2014 .

[3]  W. Bernasco,et al.  Crime Location Choice , 2014 .

[4]  J. Coleman,et al.  Social Capital in the Creation of Human Capital , 1988, American Journal of Sociology.

[5]  Richard Block,et al.  WHERE OFFENDERS CHOOSE TO ATTACK: A DISCRETE CHOICE MODEL OF ROBBERIES IN CHICAGO* , 2009 .

[6]  J. Li,et al.  Progress and Future Directions of Crime Research in China with Selected Case Studies , 2017 .

[7]  Brent Snook,et al.  Searching for a Needle in a Needle Stack: Combining Criminal Careers and Journey‐to‐Crime Research for Criminal Suspect Prioritization , 2006 .

[8]  Shane D. Johnson Repeat burglary victimisation: a tale of two theories , 2008 .

[9]  Robert W. J. Jansen,et al.  THE ROAD TO THE ROBBERY Travel Patterns in Commercial Robberies , 1998 .

[10]  C. Block,et al.  The Bronx and Chicago: Street Robbery in the Environs of Rapid Transit Stations , 2000 .

[11]  Paul Wiles,et al.  The 'road to nowhere': the evidence for travelling criminals , 2000 .

[12]  P. Brantingham,et al.  Criminality of place , 1995 .

[13]  William Smith,et al.  Determining How Journeys-to-Crime Vary: Measuring Inter- and Intra-Offender Crime Trip Distributions , 2009 .

[14]  Nick Tilley,et al.  Offenses around Stadiums , 2014 .

[15]  J. Carter,et al.  Offender Searches and Crime Events , 2015 .

[16]  Derek Johnson The space/time behaviour of dwelling burglars: Finding near repeat patterns in serial offender data , 2013 .

[17]  Jon Spencer,et al.  Taxing on the Streets: Understanding the Methods and Process of Street Robbery , 2007 .

[18]  K. Bowers,et al.  The Effect of Social Cohesion on Levels of Recorded Crime in Disadvantaged Areas , 1997 .

[19]  Robert W. J. Jansen,et al.  THE ROAD TO THE ROBBERYTravel Patterns in Commercial Robberies , 1998 .

[20]  Ken Pease,et al.  Offender as Forager? A Direct Test of the Boost Account of Victimization , 2009 .

[21]  Shane D. Johnson,et al.  Space–Time Patterns of Risk: A Cross National Assessment of Residential Burglary Victimization , 2007 .

[22]  G. Farrell,et al.  LIKE TAKING CANDY Why does Repeat Victimization Occur , 1995 .

[23]  R. Wright,et al.  STICK-UP, STREET CULTURE, AND OFFENDER MOTIVATION* , 1999 .

[24]  R. Clarke,et al.  Modeling Offenders' Decisions: A Framework for Research and Policy , 1985, Crime and Justice.

[25]  Wim Bernasco,et al.  Co‐offending and the choice of target areas in burglary , 2006 .

[26]  W. Bernasco,et al.  How Do Residential Burglars Select Target Areas?: A New Approach to the Analysis of Criminal Location Choice , 2005 .

[27]  Shane D. Johnson,et al.  Learning where to offend: Effects of past on future burglary locations , 2015 .

[28]  Elizabeth R. Groff,et al.  DOES WHAT POLICE DO AT HOT SPOTS MATTER? THE PHILADELPHIA POLICING TACTICS EXPERIMENT* , 2015 .

[29]  W. Bernasco,et al.  Go where the money is: modeling street robbers’ location choices , 2013 .

[30]  Wei Guo,et al.  Non-Homogeneous Diffusion of Residential Crime in Urban China , 2017 .

[31]  Dongwon Lee,et al.  Protest and property crime: political use of police resources and the deterrence of crime , 2018 .

[32]  G. Galster,et al.  Neighbourhood ethnic composition and outcomes for low-income Latino and African American children , 2017 .

[33]  M. Felson,et al.  Opportunity Makes the Thief Practical theory for crime prevention , 1998 .

[34]  Richard Block,et al.  Do Street Robbery Location Choices Vary Over Time of Day or Day of Week? A Test in Chicago , 2016, The Journal of research in crime and delinquency.

[35]  Shane D. Johnson,et al.  Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model , 2015, Crime and delinquency.

[36]  D. Rossmo,et al.  How Far to Travel? A Multilevel Analysis of the Residence-to-Crime Distance , 2015 .

[37]  Jianguo Chen,et al.  Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China , 2017, ISPRS Int. J. Geo Inf..

[38]  Elizabeth R. Groff,et al.  Understanding and Controlling Hot Spots of Crime: The Importance of Formal and Informal Social Controls , 2014, Prevention Science.

[39]  Ken Pease,et al.  Once bitten, twice bitten: repeat victimisation and its implications for crime prevention , 1993 .

[40]  C. Vandeviver,et al.  What Makes Long Crime Trips Worth Undertaking? Balancing Costs and Benefits in Burglars’ Journey to Crime , 2015 .

[41]  Robert J. Bursik,et al.  SOCIAL DISORGANIZATION AND THEORIES OF CRIME AND DELINQUENCY: PROBLEMS AND PROSPECTS* , 1988 .

[42]  S. Raudenbush,et al.  Neighborhoods and violent crime: a multilevel study of collective efficacy. , 1997, Science.

[43]  柳林,et al.  地理学视角下犯罪者行为研究进展@@@Research progress of criminal behavior from the perspective of geography , 2017 .

[44]  Jerry H. Ratcliffe,et al.  TESTING FOR TEMPORALLY DIFFERENTIATED RELATIONSHIPS AMONG POTENTIALLY CRIMINOGENIC PLACES AND CENSUS BLOCK STREET ROBBERY COUNTS , 2015 .

[45]  Elizabeth R. Groff,et al.  Criminogenic Facilities and Crime across Street Segments in Philadelphia , 2014 .

[46]  W. Bernasco,et al.  Biting Once, Twice: The Influence of Prior on Subsequent Crime Location Choice: Biting Once, Twice , 2015 .

[47]  Hannah Fry,et al.  ROLE OF THE STREET NETWORK IN BURGLARS' SPATIAL DECISION-MAKING , 2017, CrimRxiv.

[48]  Wim Bernasco,et al.  Same-Offender Involvement in Repeat and Near Repeat Burglaries , 2008 .

[49]  Shona A Morrison,et al.  AN ANALYSIS OF THE DECISION-MAKING PRACTICES OF ARMED ROBBERS , 2006 .

[50]  W. Bernasco A SENTIMENTAL JOURNEY TO CRIME: EFFECTS OF RESIDENTIAL HISTORY ON CRIME LOCATION CHOICE* , 2010 .

[51]  R. Clarke,et al.  Explaining High-Risk Concentrations of Crime in the City , 2014 .

[52]  Peter K. B. St. Jean,et al.  Pockets of Crime: Broken Windows, Collective Efficacy, and the Criminal Point of View , 2007 .

[53]  Richard Block,et al.  Robberies in Chicago: A Block-Level Analysis of the Influence of Crime Generators, Crime Attractors, and Offender Anchor Points , 2011 .

[54]  Brandon R. Kooi Assessing the correlation between bus stop densities and residential crime typologies , 2013 .

[55]  W. Bernasco,et al.  Target Selection Models with Preference Variation Between Offenders , 2016 .

[56]  Ronald V. Clarke,et al.  The Reasoning Criminal: Rational Choice Perspectives on Offending , 2017 .

[57]  Shane D. Johnson,et al.  Burglar Target Selection , 2015, The Journal of research in crime and delinquency.

[58]  S. Everson Repeat Victimisation and Prolific Offending: Chance or Choice? , 2003 .

[59]  Shane D. Johnson,et al.  The Stability of Space-Time Clusters of Burglary , 2004 .