Tables
1.1Crime calls for service and crime incidents (2012) in sampled street segments
2.1Demographics capturing concentrated disadvantage by segment type
2.6Individual measures of collective efficacy by segment type (wave 1)
2.8Individual measures of observed social and physical disorder by segment type
2.9Observed social and physical disorder factor scores by segment type
2.10Individual perceived social and physical disorder measures by segment type (wave 1)
2.11Perceived social and physical disorder mean scores by segment type
2.12Individual fear of crime measures by segment type (wave 1)
4.1Citizen-initiated crime CFS and crime incident for 2017 by street segment
4.3Mixed-effects negative binomial models predicting citizen-initiated CFS or crime incidents
5.2Random intercept models predicting street-level collective efficacy at wave 3
5.3Random intercept models predicting street-level collective efficacy at wave 3, excluding social disorder measures
6.3Wave 1 multilevel logistic regression predicting property victimization
6.4Wave 2 multilevel logistic regression predicting property victimization
6.5Wave 3 multilevel logistic regression predicting property victimization
7.1Comparing health diagnoses across street segments (wave 1)
7.2Comparing overall health status across street segments (% very poor or poor)
7.3Comparing health problems that resulted from living on the block across street segments
7.4Comparing negative quality of health across street segments
7.5Comparing life activities limitations due to health problems across street segments
7.7Comparing moderate to severe depression symptom across street segments
7.9Comparing the percentage of smokers across street segments
7.10Comparing the percentage of heavy drinkers across street segments
7.11Comparing the percentage of marijuana use across street segments
7.12Comparing the percentage of hard drug use across street segments
7.13Results from propensity score analysis comparing health outcomes across cold streets versus crime hot spots
7.14Results from propensity score analysis comparing health outcomes across cold streets versus violent crime hot spots
7.15Results from propensity score analysis comparing health outcomes across cold streets versus drug crime hot spots
A2.1Principal component analyses (PCA) for key measures from wave 1 data (varimax rotation)
A4.2Mixed-effects negative binomial models that predict citizen-initiated CFS or crime incident excluding baseline crime measures
A4.3VIFs for variables in the final model of Chapter 4 (Model 1 in Table 4.3)
A4.4VIFs for variables in the final model of Chapter 4 (Model 2 in Table 4.3)
A4.5Maximum likelihood spatial lag models predicting citizen-initiated CFS or crime incident
A5.2VIFs for variables in the final model of Chapter 5 (Model 4 in Table 5.2)
A5.3Random intercept models predicting only “social control” scale (wave 3) at the street level
A5.4Models examining the mediation effects of perceived social disorder on the relationships between observed social disorder and collective efficacy
A5.5Mixed-effects models excluding segment type or logged crime incidents
A5.6Maximum likelihood spatial lag model predicting collective efficacy at wave 3
A6.2Unconditional three-level random intercept models of property victimization
A6.3Principal component analyses (PCA) and reliability alpha coefficient for low self-control scale
A6.4Wave 1 multilevel logistic regression predicting property victimization with logged CFS 2012
A6.5Wave 2 multilevel logistic regression predicting property victimization with logged CFS 2014
A6.6Wave 3 multilevel logistic regression predicting property victimization with logged CFS 2016
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