Quantifying the Cost of Flooding Under Different Representative Concentration Pathway Scenarios: Urban Mobility Approach
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Keywords: Climate Change, Flooding, Spatial Graph
Abstract Type: Paper Abstract
Authors:
Orhun Aydin, Saint Louis University
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Abstract
Impacts of climate change-induced extreme weather are often studied in terms of fatalities or monetary cost to infrastructure. The lives-lost, dollars-spent approach to quantifying the impact of climate change disregards disruptions to important services such as access to health care, food, and clean water. In this study, the impact of flooding on urban mobility is studied by coupling precipitation to the road network. The road network is represented as a spatial graph and disruptions due to flood-related road closures are modeled as stochastic edges that can be sequentially added or removed using a Markov chain. The model is applied to cities impacted by two flooding events in 2022, Hurricane Harvey and Central Appalachia floods. The mobility disruptions due to floods will be analyzed with respect to access to health care, access to grocery, and access to clean water. At-risk populations will be mapped with respect to the degree of disconnection from urban services and the length of time for disconnection. The presentation will conclude by showcasing cost functions for quantifying the impact of flood-related mobility disruption with respect to demographics.
Quantifying the Cost of Flooding Under Different Representative Concentration Pathway Scenarios: Urban Mobility Approach
Category
Paper Abstract
