Modeling smart growth of cities through entropy and logistics

摘要

We introduce a predictive algorithm for the smart growth of cities withpopulations upward of 100,000, allowing for extensive simulations of growthplans and their effects upon an urban populous. A smart growth metric iscalculated to evaluate the progress of a city at each phase of its adaptationof the growth plan, which is measured using a weighted entropy method. Thepredictive algorithm itself is built from a unique differential model, whichcalculates the growth of a city from smart growth proposals that areindividually assessed by a logistic weight model. These proposals are thensorted based on effectiveness and efficiency observed from the simulations,giving insight into the best approach to providing the target cities with ahopeful future.