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

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 effects of these policies alone and in combination across 4 different types of towns, defined by 2 levels of population density (urban vs suburban) and 2 levels of income (higher vs lower).

Results

Model results indicated that reduction of retailer density has the potential to decrease accessibility of tobacco products by driving

SUBMITTER: Luke DA 

PROVIDER: S-EPMC5388950 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature