We have planned a nested cross-sectional design with baseline and follow-up observations, implementing a randomized controlled community-level trial with neighborhood as the unit of randomization and analysis. Neighborhoods will be block-randomized within cities to achieve balance between intervention and control conditions on city-level factors. Assuming an intraclass correlation of 0.02 with a sample size of 300 per neighborhood this study will have 80% power to detect a difference in proportions between intervention and control communities of 20% (45% vs. 36%).