Tobacco Town: Computational Modeling of Policy Options to Reduce Tobacco Retailer Density

Volume: 107, Issue: 5, Pages: 740 - 746
Published: May 1, 2017
Abstract
Objectives. To identify the behavioral mechanisms and effects of tobacco control policies designed to reduce tobacco retailer density. Methods. We developed the Tobacco Town agent-based simulation model to examine 4 types of retailer reduction policies: (1) random retailer reduction, (2) restriction by type of retailer, (3) limiting proximity of retailers to schools, and (4) limiting proximity of retailers to each other. The model examined the...
Paper Details
Title
Tobacco Town: Computational Modeling of Policy Options to Reduce Tobacco Retailer Density
Published Date
May 1, 2017
Volume
107
Issue
5
Pages
740 - 746
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