contributor author | Carly Lawyer | |
contributor author | Hassan T. Davani | |
contributor author | Erfan Goharian | |
date accessioned | 2024-04-27T22:34:21Z | |
date available | 2024-04-27T22:34:21Z | |
date issued | 2024/01/01 | |
identifier other | 10.1061-JWRMD5.WRENG-5979.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4296972 | |
description abstract | As global warming and climate variability bring about more frequent and intense rainstorms and accelerate sea level rise, our social and built environments are at heightened risk of flood-induced damages and costs. All levels of governance stand to benefit from deepened understanding of possible outcomes resulting from decentralized human behavior in the realm of water resources engineering and management, particularly in coastal areas. Game theory allows scientists to predict preferred strategies and interactions of rational self-interested actors in coalitional games, wherein players increase their individual payoffs through formation of strategic subsets. When applied to infrastructure planning, this practice can be used to identify which coalitions should form to benefit their overall hydrologic system. This research aims to inform green infrastructure decisions in Charleston, South Carolina’s Market Street watershed using a coalitional game theory solution concept, the Shapley value, in combination with rainfall-runoff simulation in storm water management model (SWMM). Results offer insights into stormwater services and flood managers concerning suggested areas of focus for green infrastructure spending and advocacy to reduce flooding and resulting property damage. | |
publisher | ASCE | |
title | Coalitional Game Theory for Stormwater Management and Green Infrastructure Practices | |
type | Journal Article | |
journal volume | 150 | |
journal issue | 1 | |
journal title | Journal of Water Resources Planning and Management | |
identifier doi | 10.1061/JWRMD5.WRENG-5979 | |
journal fristpage | 04023070-1 | |
journal lastpage | 04023070-14 | |
page | 14 | |
tree | Journal of Water Resources Planning and Management:;2024:;Volume ( 150 ):;issue: 001 | |
contenttype | Fulltext | |