Wouter Steenbeek
Wouter Steenbeek
Senior Researcher, Netherlands Institute for the Study of Crime and Law Enforcement (NSCR)
Verified email at nscr.nl - Homepage
Title
Cited by
Cited by
Year
A longitudinal test of social disorganization theory: Feedback effects among cohesion, social control, and disorder
W Steenbeek, JR Hipp
Criminology 49 (3), 833-871, 2011
1992011
Where the action is in crime? An examination of variability of crime across different spatial units in The Hague, 2001–2009
W Steenbeek, D Weisburd
Journal of quantitative criminology 32 (3), 449-469, 2016
1182016
More places than crimes: Implications for evaluating the law of crime concentration at place
W Bernasco, W Steenbeek
Journal of quantitative criminology 33 (3), 451-467, 2017
892017
Local businesses as attractors or preventers of neighborhood disorder
W Steenbeek, B Völker, H Flap, F Oort
Journal of Research in Crime and Delinquency 49 (2), 213-248, 2012
632012
The (in) stability of residential burglary patterns on street segments: The case of Antwerp, Belgium 2005–2016
C Vandeviver, W Steenbeek
Journal of Quantitative Criminology 35 (1), 111-133, 2019
322019
Social capital and self-rated health amongst older people in Western Finland and Northern Sweden: a multi-level analysis
F Nyqvist, M Nygård, W Steenbeek
International journal of behavioral medicine 21 (2), 337-347, 2014
322014
Testing for similarity in area‐based spatial patterns: Alternative methods to Andresen's spatial point pattern test
AP Wheeler, W Steenbeek, MA Andresen
Transactions in GIS 22 (3), 760-774, 2018
302018
Types of crime and types of mechanisms: What are the consequences for neighborhoods over time?
JR Hipp, W Steenbeek
Crime & Delinquency 62 (9), 1203-1234, 2016
282016
Measuring disorder: observer bias in systematic social observations at streets and neighborhoods
EM Hoeben, W Steenbeek, LJR Pauwels
Journal of Quantitative Criminology 34 (1), 221-249, 2018
252018
Residential burglary target selection: An analysis at the property-level using Google Street View
SH Langton, W Steenbeek
Applied Geography 86, 292-299, 2017
252017
Mapping the risk terrain for crime using machine learning
AP Wheeler, W Steenbeek
Journal of Quantitative Criminology 37 (2), 445-480, 2021
212021
Social interactions and crime revisited: an investigation using individual offender data in Dutch neighborhoods
W Bernasco, T de Graaff, J Rouwendal, W Steenbeek
Review of Economics and Statistics 99 (4), 622-636, 2017
172017
No evidence that gender contributes to personal research funding success in The Netherlands: A reaction to van der Lee and Ellemers
B Volker, W Steenbeek
Proceedings of the National Academy of Sciences 112 (51), E7036-E7037, 2015
172015
Social and physical disorder: How community, business presence and entrepreneurs influence disorder in dutch neighborhoods
W Steenbeek
Utrecht University, 2011
172011
Does social capital enhance political participation of older adults? A multi-level analysis of older Finns and Swedes
M Nygård, F Nyqvist, W Steenbeek, G Jakobsson
Journal of International and Comparative Social Policy 31 (3), 234-254, 2015
152015
Where broken windows should be fixed: Toward identification of areas at the tipping point
W Steenbeek, C Kreis
Journal of Research in Crime and Delinquency 52 (4), 511-533, 2015
152015
Lost letters in Dutch neighborhoods: A field experiment on collective efficacy
B Volker, G Mollenhorst, W Steenbeek, V Schutjens, H Flap
Social Forces 94 (3), 953-974, 2016
142016
SPPT: spatial point pattern test
W Steenbeek, C Vandeviver, MA Andresen, N Malleson, A Wheeler
R package version 0.2 3, 2020
122020
Where the action is in crime
W Steenbeek, D Weisburd
An examination of variability of crime, 2016
122016
Minimum geocoding match rates: an international study of the impact of data and areal unit sizes
MA Andresen, N Malleson, W Steenbeek, M Townsley, C Vandeviver
International Journal of Geographical Information Science 34 (7), 1306-1322, 2020
112020
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Articles 1–20