Project DeconstructionDestroying hot spots for violenceCarol Snell

Community Need• CNY Vitals and the New York State Division of

Housing AND Public Safety http://cnyvitals.org/onondaga/housing/county-vacancy-rates AND

Community need• Cite source for data

Logical Approach

Logical Approach Literature Review• In “Youth and Adult Perspectives On Violence

Prevention Strategies: A Community-Based Participatory Study,” the authors discuss how beneficial activity centers are for youths and preventing youth crime. They go on to mention how youths can not get to their community centers because they are too scared, or not allowed to walk past street crime. Specifically vacant houses are identified as areas of trouble.

Logical Approach Literature Review• The authors of Greening Vacant Lots to Reduce

Violent Crime: A Randomised Controlled Trail,” found that vacant lots are a source of violent crime in most cities. Their study found that “greening” the vacant lots, or cleaning them up, reduced violent crime in cities.

Logical Approach Literature Review• The article, “More Than Just an Eyesore,”

discusses overall affects of vacant housing. They found that besides drawing violent crime, they also have negative health and mental effects. Vacant housing tends to overshadow the community feeling, making people feel less safe in their urban environment.

Logical Approach Works Cited• Dodington, James, Joel Fein, Alice Hausman,

Cynthia Mollen, Therese Richmond, and Joseph Woodlock. 2012. “Youth and Adult Perspectives on Violence Prevention Strategies: A Community-Based Participatory Study.” Journal of Community Psychology 20 (8): 1022-1031.

• Branas, Charles, Carolyn Cannuscio, and Eugenia Garvin. 2013. “Greening Vacant Lots to Reduce Violent Crime: A Randomised Controlled Trial.” Injury Prevention 19 (3): 198-203.

• Branas, Charles, Carolyn Cannuscio, Eugenia Garvin, Keddem Shimrit, Jeffery Sellman. 2013. “More Than Just An Eyesore: Local Insights And Solutions on Vacant Land and Urban Health.” Journal of Urban Health 90 (3): 412-426.

Data Analysis(Not StatisticallySignificant)• Crosstabs/Chi Square

Data Analysis (Not Statistically Significant)

• Binary Regression

Data Analysis• I know my program did not work because the data

was not significant at the .01 or .05 levels.