The association between urban trees and crime: Evidence from the spread of the emerald ash borer in Cincinnati

Landscape and Urban Planning

Volumn 157, Issue , 2017, Pages 193-199

  Kondo, Michelle C ^a   Han, SeungHoon ^a,b   Donovan, Geoffrey H ^a   MacDonald, John M ^c  

^a USDA FOREST SERVICE   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Crime; Emerald ash borer; Invasive tree pests; Trees

Indexed keywords

CRIME; GEMS;

ECOLOGICAL IMPACTS; EMERALD ASH BORER; EXPERIMENTAL APPROACHES; INVASIVE SPECIES; INVASIVE TREE PESTS; PROPENSITY SCORE; SOCIAL BENEFITS; TREES;

FORESTRY;

BEETLE; BIOLOGICAL INVASION; CENSUS; ECOLOGICAL IMPACT; INVASIVE SPECIES; PARASITE INFESTATION; PEST SPECIES; SOCIAL IMPACT; TREE; URBAN ECOSYSTEM;

CINCINNATI; OHIO; UNITED STATES;

AGRILUS PLANIPENNIS;

EID: 84978114952     PISSN: 01692046     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.landurbplan.2016.07.003     Document Type: Article

References (46)

1. Bertrand, M., Duflo, E., Mullainathan, S., How much should we trust differences-in-differences estimates?. The Quarterly Journal of Economics 119:1 (2004), 249–275, 10.1162/003355304772839588.
2. Boyd, I., Freer-Smith, P., Gilligan, C., Godfray, H., The consequence of tree pests and diseases for ecosystem services. Science, 342(6160), 2013, 1235773, 10.1126/science.1235773.
3. Branas, C.C., Cheney, R.A., MacDonald, J.M., Tam, V.W., Jackson, T.D., Ten Have, T.R., A difference-in-differences analysis of health, safety, and greening vacant urban space. American Journal of Epidemiology 174:11 (2011), 1296–1306, 10.1093/aje/kwr273.
4. Cincinnati Parks, Cincinnati & Hamilton County, Ohio Urban Tree Canopy (UTC) assessment 2000 and 2010. Prepared by AMEC Environment & Infrastructure, Inc, 2010.
5. Clarke, R.V., Situational crime prevention: Theory and practice. British Journal of Criminology 20 (1980), 136–147.
6. Cook, P.J., Crime control in the city: a research-based briefing on public and private measures. CityScape, 2009, 53–79.
7. Cohen, L.E., Felson, M., Social change and crime rate trends: A routine activity approach. American Sociological Review 44:4 (1979), 588–608.
8. Cozens, P.M., Saville, G., Hillier, D., Crime prevention through environmental design (CPTED): a review and modern bibliography. Property Management 23:5 (2005), 328–356, 10.1108/02637470510631483.
9. Demotto, N., Davies, C.P., A GIS analysis of the relationship between criminal offenses and parks in Kansas city, Kansas. Cartography and Geographic Information Science 33:2 (2006), 141–157, 10.1559/152304006777681715.
10. Donovan, G.H., Prestemon, J.P., The effect of trees on crime in Portland, Oregon. Environment and Behavior 44:1 (2012), 3–30, 10.1177/0013916510383238.
11. Donovan, G.H., Michael, Y.L., Butry, D.T., Sullivan, A.D., Chase, J.M., Urban trees and the risk of poor birth outcomes. Health & Place 17:1 (2011), 390–393, 10.1016/j.healthplace.2010.11.004.
12. Federal Bureau of Investigation, Crime in the United States 2013. 2004 Retrieved 6 April 2015, from http://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/2013/crime-in-the-u.s.-2013.
13. Fisher, B.S., Nasar, J.L., Fear of crime in relation to three exterior site features: prospect, refuge, and escape. Environment and Behavior 24:1 (1992), 35–65, 10.1177/0013916592241002.
14. Frumkin, H., The evidence of nature and the nature of evidence. American Journal of Preventive Medicine 44:2 (2013), 196–197, 10.1016/j.amepre.2012.10.016.
15. Gandhi, K.J., Herms, D.A., Direct and indirect effects of alien insect herbivores on ecological processes and interactions in forests of eastern North America. Biological Invasions 12:2 (2010), 389–405, 10.1007/s10530-009-9627-9.
16. Gould, W.W., Use poisson rather than regress; tell a friend. The Stata Blog: Not Elsewhere Classified, 2011 Accessed at http://blog.stata.com/2011/08/22/use-poisson-rather-than-regress-tell-a-friend/.
17. Hystad, P., Davies, H.W., Frank, L., Van Loon, J., Gehring, U., Tamburic, L., et al. Residential greenness and birth outcomes: evaluating the influence of spatially correlated built-environment factors. Environmental Health Perspectives 122:10 (2014), 1095–1102, 10.1289/ehp.1308049.
18. Imbens, G.W., Wooldridge, J.M., Recent developments in the econometrics of program evaluation. Journal of Economic Literature 47:1 (2009), 5–86, 10.1257/jel.47.1.5.
19. Jeffrey, C.R., Crime Prevention Through Environmental Design. 1971, Sage Publications, Inc., Thousand Oaks, CA.
20. Jesdale, B.M., Morello-Frosch, R., Cushing, L., The racial/ethnic distribution of heat risk-related land cover in relation to residential segregation. Environmental Health Perspectives 121:7 (2013), 811–817, 10.1289/ehp.1205919.
21. Keizer, K., Lindenberg, S., Steg, L., The spreading of disorder. Science 322:5908 (2008), 1681–1685, 10.1126/science.1161405.
22. Kondo, M.C., Low, S., Henning, J., Branas, C.C., The impact of green stormwater infrastructure installation on surrounding health and safety. American Journal of Public Health 105:3 (2015), e114–e121, 10.2105/ajph.2014.302314.
23. Kovacs, K.F., Haight, R.G., McCullough, D.G., Mercader, R.J., Siegert, N.W., Liebhold, A.M., Cost of potential emerald ash borer damage in U.S. communities, 2009–2019. Ecological Economics 69:3 (2010), 569–578, 10.1016/j.ecolecon.2009.09.004.
24. Kuo, F.E., Sullivan, W.C., Environment and crime in the inner city: does vegetation reduce crime?. Environment and Behavior 33:3 (2001), 343–367, 10.1177/0013916501333002.
25. Kuo, F.E., Coping with poverty: impacts of environment and attention in the inner city. Environment and Behavior 33:1 (2001), 5–34, 10.1177/00139160121972846.
26. Land, K.C., McCall, P.L., Cohen, L.E., Structural covariates of homicide rates: are there any invariances across time and social space?. American Journal of Sociology, 1990, 922–963.
27. Lee, A.C.K., Maheswaran, R., The health benefits of urban green spaces: a review of the evidence. Journal of Public Health 33:2 (2011), 212–222, 10.1093/pubmed/fdq068.
28. MacDonald, J., Community design and crime: the impact of housing and the built environment. Crime & Just 44 (2015), 333–557, 10.1086/681558.
29. MacFarlane, D.W., Meyer, S.P., Characteristics and distribution of potential ash tree hosts for emerald ash borer. Forest Ecology and Management 213:1 (2005), 15–24, 10.1016/j.foreco.2005.03.013.
30. McCaffrey, D.F., Ridgeway, G., Morral, A.R., Propensity score estimation with boosted regression for evaluating causal effects in observational studies. Psychological Methods 9:4 (2004), 403–425, 10.1037/1082-989X.9.4.403.
31. Michael, S.E., Hull, R.B., Zahm, D.L., Environmental factors influencing auto burglary: a case study. Environment and Behavior 33:3 (2001), 368–388, 10.1177/00139160121973034.
32. Nasar, J.L., Fisher, B., Grannis, M., Proximate physical cues to fear of crime. Landscape and Urban Planning 26:1–4 (1993), 161–178, 10.1016/0169-2046(93)90014-5.
33. Newman, O., Defensible space; crime prevention through urban design. 1972, Macmillan, New York.
34. Perkins, D.D., Taylor, R.B., Ecological assessments of community disorder: their relationship to fear of crime and theoretical implications. Ecological research to promote social change, 2002, Springer, New York, 127–170.
35. Poland, T.M., McCullough, D.G., Emerald ash borer: invasion of the urban forest and the threat to North America's ash resource. Journal of Forestry 104:3 (2006), 118–124.
36. Ridgeway, G., McCaffrey, D., Morral, A., Burgette, L., Griffin, B.A., Toolkit for Weighting and Analysis of Nonequivalent Groups: a tutorial for the twang package. R vignette, 2014, RAND, 1–31.
37. Robinson, W.S., Ecological correlations and the behavior of individuals. International Journal of Epidemiology 38:2 (2009), 337–341, 10.1093/ije/dyn357.
38. Sampson, R.J., Raudenbush, S.W., Systematic social observation of public spaces: a new look at disorder in urban neighborhoods. American Journal of Sociology 105:3 (1999), 603–651.
39. Sampson, R.J., Raudenbush, S.W., Earls, F., Neighborhoods and violent crime: a multilevel study of collective efficacy. Science 277:5328 (1997), 918–924, 10.1086/210356.
40. Silverman, B.W., Density estimation for statistics and data analysis, Vol. 26, 1986, CRC Press, New York, NY.
41. Smitley, D., Davis, T., Rebek, E., Progression of ash canopy thinning and dieback outward from the initial infestation of emerald ash borer (Coleoptera: Buprestidae) in southeastern Michigan. Journal of Economic Entomology 101:5 (2008), 1643–1650, 10.1603/0022-0493(2008)101%5B1643:POACTA%5D2.0.CO;2.
42. Taylor, R.B., Shumaker, S.A., Gottfredson, S.D., Neighborhood-level links between physical features and local sentiments: deterioration, fear of crime, and confidence. Journal of Architectural and Planning Research, 1985, 261–275.
43. Troy, A., Morgan Grove, J., O'Neil-Dunne, J., The relationship between tree canopy and crime rates across an urban-rural gradient in the greater Baltimore region. Landscape and Urban Planning 106:3 (2012), 262–270, 10.1016/j.landurbplan.2012.03.010.
44. Wilson, J.Q., Kelling, G.L., Broken windows: the police and neighborhood safety. Atlantic Monthly 249:3 (1982), 29–38.
45. Wolfe, M.K., Mennis, J., Does vegetation encourage or suppress urban crime? Evidence from Philadelphia, PA. Landscape and Urban Planning 108:2–4 (2012), 112–122, 10.1016/j.landurbplan.2012.08.006.
46. Wooldridge, J.M., Econometric analysis of cross section and panel data. 2010, MIT press, Cambridge, MA.