Cities on the Coast and Patterns of Movement between Population Growth and Diffusion

Abstract

Sea level rise and high-impact coastal hazards due to on-going and projected climate change dramatically affect many coastal urban areas worldwide, including those with the highest urbanization growth rates. To develop tailored coastal climate services that can inform decision makers on climate adaptation in coastal cities, a better understanding and modeling of multifaceted urban dynamics is important. We develop a coastal urban model family, where the population growth and urbanization rates are modeled in the framework of diffusion over the half-bounded and bounded domains, and apply the maximum entropy principle to the latter case. Population density distributions are derived analytically whenever possible. Steady-state wave solutions balancing the width of inhabited coastal zones, with the skewed distributions maximizing population entropy, might be responsible for the coastward migrations outstripping the demographic development of the hinterland. With appropriate modifications of boundary conditions, the developed family of diffusion models can describe coastal urban dynamics affected by climate change.

Description

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords

Coastal Urban Dynamics, Growth-Diffusion Models, Maximum Entropy Principle, Climate Change, Climate Adaptation

Citation

Kovalevsky DV, Volchenkov D, Scheffran J. Cities on the Coast and Patterns of Movement between Population Growth and Diffusion. Entropy. 2021; 23(8):1041. https://doi.org/10.3390/e23081041

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