This study examines how social disorganization and land use shape violent crime within and across neighborhoods in Houston, Texas. Using incident-level NIBRS data aggregated to 710 census tracts (2020–2022), we apply a Spatial Durbin Model (SDM) to assess both local and spillover effects. Results show that concentrated disadvantage and racial composition significantly predict violence, with effects extending beyond tract boundaries. Vacant land and entertainment parcels elevate risks in adjacent tracts, while mixed-use development and medical access diffuse protective effects into surrounding areas. By integrating social disorganization and environmental criminology perspectives, findings demonstrate that neighborhood violence is embedded in broader spatial systems and underscore the utility of SDMs for disentangling direct and indirect pathways of urban crime.
AndersonJ. M.MacDonaldJ. M.BluthenthalR.AshwoodJ. S. (2013). Reducing crime by shaping the built environment with zoning: An empirical study of Los Angeles. University of Pennsylvania Law Review, 161(3), 699–756. https://www.jstor.org/stable/23527820
2.
AnselinL.SyabriI.KhoY.2006. GeoDa: An introduction to spatial data analysis. Geographical Analysis, 38(1), 5–22.
3.
BallerR. D.AnselinL.MessnerS. F.DeaneG.HawkinsD. F. (2001). Structural covariates of U.S. County homicide rates: Incorporating spatial effects. Criminology, 39(3), 561–588. https://doi.org/10.1111/j.1745-9125.2001.tb00933.x
4.
BoessenA.ChamberlainA. W. (2017). Neighborhood crime, the housing crisis, and geographic space: Disentangling the consequences of foreclosure and vacancy. Journal of Urban Affairs, 39(7), 899–914. https://doi.org/10.1080/07352166.2017.1310558
5.
BoessenA.HippJ. R. (2015). Close-ups and the scale of ecology: Land uses and the geography of social context and crime. Criminology, 53(3), 399–426. https://doi.org/10.1111/1745-9125.12074
6.
BoessenA.OmoriM.GreeneC. (2023). Long-term dynamics of neighborhoods and crime: The role of education over 40 years. Journal of Quantitative Criminology, 39, 187–249. https://doi.org/10.1007/s10940-021-09528-3
7.
BowenD. A.AnthonyK. M.SumnerS. A. (2022). Business and property types experiencing excess violent crime: A micro-spatial analysis. Journal of Injury & Violence Research, 14(1), 1–10. https://doi.org/10.5249/jivr.v14i1.1566
8.
BranasC. C.SouthE.KondoM. C.HohlB. C.BourgoisP.WiebeD. J.MacDonaldJ. M. (2018). Citywide cluster randomized trial to restore blighted vacant land and its effects on violence, crime, and fear. Proceedings of the National Academy of Sciences of the USA, 115(12), 2946–2951. https://doi.org/10.1073/pnas.1718503115
9.
BrantinghamP.BrantinghamP. (1995). Criminality of place: Crime generators and crime attractors. European Journal on Criminal Policy and Research, 3(3), 5–26. https://doi.org/10.1007/BF02242925
10.
BurchfieldK. B.SilverE. (2013). Collective efficacy and crime in Los Angeles neighborhoods: Implications for the Latino paradox. Sociological Inquiry, 83(1), 154–176.
11.
BursikR. J.GrasmickH. (1993). Neighborhoods and crime: The dimensions of effective community control. Lexington Books.
12.
CahillM.MulliganG. F. (2007). Using geographically weighted regression to explore local crime patterns. Social Science Computer Review, 25(2), 174–193. https://doi.org/10.1177/0894439307298925
13.
CarrP. J. (2003). The new parochialism: The implications of the beltway case for arguments concerning informal social control. The American Journal of Sociology, 108(6), 1249–1291. https://doi.org/10.1086/377517
14.
ChenX.RafailP. (2020). Do housing vacancies induce more crime? A spatiotemporal regression analysis. Crime & Delinquency, 66(11), 1579–1605. https://doi.org/10.1177/0011128719854347
15.
ClarkeR. V. (Ed.). (1997). Situational crime prevention: Successful case studies (2nd ed.). Harrow and Heston.
16.
CohenL. E.FelsonM. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44, 588–608. https://doi.org/10.2307/2094589
17.
DuncanD. T.KawachiI.KumS.AldstadtJ.PirasG.MatthewsS. A.ArbiaG.CastroM. C.WhiteK.WilliamsD. R. (2015). A spatially explicit approach to the study of socio-demographic inequality in the spatial distribution of trees across Boston neighborhoods. Spatial Demography, 2(1), 1–29. https://doi.org/10.1007/BF03354902
18.
ElhorstJ. P. (2010). Applied spatial econometrics: Raising the bar. Spatial Economic Analysis, 5(1), 9–28.
19.
GlaserS.JungR. C.SchweikartK. (2022). Spatial panel count data: Modeling and forecasting of urban crimes. Journal of Spatial Econometrics, 3, 1–33. https://doi.org/10.1007/s43071-021-00019-y
20.
GruenewaldP. J.SumetskyN.GaidusA.PonickiW.LeeJ. P.MairC. (2022). Assessing the impacts of alcohol outlets on crime as a natural experiment: Agglomeration, churning and spatial effects. Addiction, 117(10), 2614–2622. https://doi.org/10.1111/add.15914
21.
HippJ. R. (2007). Income inequality, race, and place: Does the distribution of race and class within neighborhoods affect crime rates?Criminology, 45(3), 665–697.
22.
HippJ. R.BoessenA. (2013). Egohoods as waves washing across the city: A new measure of “neighborhoods.”Criminology, 51(2), 287–327. https://doi.org/10.1111/1745-9125.12006
InlowA. R. (2020). Does land use matter? Understanding homicide counts beyond the effects of social disorganization. Homicide Studies, 24(4), 311–332. https://doi.org/10.1177/1088767919884672
25.
JacobsJ. (1961). The death and life of great American cities. Vintage Books.
26.
JefferyC. R. (1977). Crime prevention through environmental design. SAGE. First published 1971.
27.
KellingG. L.WilsonJ. Q. (1982). Broken windows: The police and neighborhood safety. The Atlantic Monthly, 249(3), 29–38.
28.
KimY.-A.HippJ. R. (2017). Physical boundaries and city boundaries: Consequences for crime patterns on street segments?Crime & Delinquency, 64(2), 227–254. https://doi.org/10.1177/0011128716687756
29.
KinneyJ. B.BrantinghamP. L.WuschkeK.KirkM. G.BrantinghamP. J. (2008). Crime attractors, generators and detractors: Land use and urban crime opportunities. Built Environment, 34(1), 62–74. https://www.jstor.org/stable/23289741
30.
KubrinC. E.BranicN.HippJ. R. (2022). (Re)conceptualizing neighborhood ecology in social disorganization theory: From a variable-centered approach to a neighborhood-centered approach. Crime & Delinquency, 68(11), 2008–2032. https://doi.org/10.1177/00111287211041527
31.
LeSageJ. P.PaceR. K. (2009). Introduction to spatial econometrics. Chapman & Hall/CRC.
32.
LightM. T.HarrisC. T. (2012). Race, space, and violence: Exploring spatial dependence in structural covariates of white and black violent crime arrest rates. The Annals of the American Academy of Political and Social Science, 642(1), 89–107. https://doi.org/10.1177/0002716212438200
33.
LinJ.WangQ.HuangB. (2021). Street trees and crime: What characteristics of trees and streetscapes matter. Urban Forestry & Urban Greening, 65, Article 127366. https://doi.org/10.1016/j.ufug.2021.127366
MaksutaK. D.ZhaoY.YangT.-C. (2024). Race, disadvantage, and violence: A spatial exploration of macrolevel covariates of police-involved homicides within and between US counties. Social Science Research, 119, Article 102985. https://doi.org/10.1016/j.ssresearch.2024.102985
36.
MarchmentZ.GillP. (2021). Systematic review and meta-analysis of risk terrain modelling (RTM) as a spatial forecasting method. Crime Science, 10, Article 12. https://doi.org/10.1186/s40163-021-00149-6
37.
MorenoffJ. D.SampsonR. J.RaudenbushS. W. (2001). Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence*. Criminology, 39(3), 517–558. https://doi.org/10.1111/j.1745-9125.2001.tb00932.x
38.
NewmanO. (1972). Defensible space: Crime prevention through urban design. Macmillan.
39.
QueteletM. A. (1842). A treatise on man. William and Robert Chambers.
40.
RaleighE.GalsterG. (2015). Neighborhood disinvestment, abandonment, and crime dynamics. Journal of Urban Affairs, 37(4), 367–396. https://doi.org/10.1111/juaf.12102
41.
SampsonR. J.GrovesW. B. (1989). Community structure and crime: Testing social-disorganization theory. The American Journal of Sociology, 94(4), 774–802. https://doi.org/10.1086/229068
42.
SampsonR. J.RaudenbushS. W. (1999). Systematic social observation of public spaces: A new look at disorder in urban neighborhoods. American Journal of Sociology, 105(3), 603–651. https://doi.org/10.1086/210356
43.
SampsonR. J.RaudenbushS. W.EarlsF. (1997). Neighborhoods and violent crime: A multilevel study of collective efficacy. Science, New Series, 277(5328), 918–924.
44.
ShawC. R.McKayH. D. (1942). Juvenile delinquency and urban areas: A study of rates of delinquents in relation to differential characteristics of local communities in American cities. University of Chicago Press.
45.
SmallM. L.ManducaR.JohnstonW. A. (2018). Ethnography, neighborhood effects, and the rising heterogeneity of poor neighborhoods across cities. City & Community, 17(3), 565–589. https://doi.org/10.1111/cico.12316
46.
SnowdenA. J.PridemoreW. A. (2013). Alcohol outlets, social disorganization, land use, and violence in a large college town: Direct and moderating effects. Criminal Justice Review, 38(1), 29–49. https://doi.org/10.1177/0734016812467198
47.
StarkR. (1987). Deviant places: A theory of the ecology of crime. Criminology, 25, 893–910.
48.
TillyerM. S.AcolinA.WalterR. J. (2022). Place-based improvements for public safety: Private investment, public code enforcement, and changes in crime at micro-places across six U.S. cities. Justice Quarterly, 40(5), 694–724. https://doi.org/10.1080/07418825.2022.2127843
49.
ValasikM.BraultE. E.MartinezS. M. (2019). Forecasting homicide in the red stick: Risk terrain modeling and the spatial influence of urban blight on lethal violence in Baton Rouge, Louisiana. Social Science Research, 80, 186–201. https://doi.org/10.1016/j.ssresearch.2018.12.023
50.
WickesR.HippJ. R. (2018). The spatial and temporal dynamics of neighborhood informal social control and crime. Social Forces, 97(1), 277–308. https://doi.org/10.1093/sf/soy026
51.
WilliamsS. A. (2023). Decomposing neighbourhood (in)stability: The structural determinants of turnover and implications for neighbourhood crime. The British Journal of Criminology, 64(2), 361–380. https://doi.org/10.1093/bjc/azad034
52.
WoJ. C.KimY.-A. (2022). Neighborhood effects on crime in San Francisco: An examination of residential, nonresidential, and “mixed” land uses. Deviant Behavior, 43(1), 61–78. https://doi.org/10.1080/01639625.2020.1779988
53.
WoJ. C. (2016). Community context of crime: A longitudinal examination of the effects of local institutions on neighborhood crime. Crime & Delinquency, 62(10), 1286–1312. https://doi.org/10.1177/0011128714542501
WoJ. C. (2019b). Understanding the differential effects of land uses on crime: An examination across Philadelphia neighbourhoods. British Journal of Criminology, 59(6), 1432–1454. https://doi.org/10.1093/bjc/azz019
56.
ZahnowR. (2018). Mixed land use: Implications for violence and property crime. City & Community, 17(4), 1119–1142. https://doi.org/10.1111/cico.12337
