Flood Vulnerability Assessment and Data Visualization for Lifeline Transportation Network

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CAIT project no.: CAIT-UTC-REG15

Fiscal Year: 2018/2019

Status: Final

Principal investigator(s): Rouzbeh Nazari, Ph.D.

Performing organization(s): Rowan University

Managing organization: Rutgers CAIT

In cooperation with: New Jersey Department of Community Affairs, Local Planning Services
Partner project manager: Sean Thompson, Director

Supported by: USDOT OST-R

UTC, grant, or agreement no.: 69A3551847102


This project aims to develop a 2-D hydrodynamic model to assess the extent/severity of flooding from extreme weather events (such as Hurricane Sandy) and to evaluate the efficiency of existing transportation infrastructure.

The model will incorporate a representation of the transportation system network, flood event scenarios, and a method to estimate vulnerability of transportation links. This vulnerability can be evaluated in terms of service disruption based on the number of interrupted vehicles and the durations of interruption. To generate the flood scenarios, annual peak flow frequency data collected at a stream gage will provide an estimate magnitude and frequency of flooding.

A user-friendly mobile data visualization Android application will be developed. It will provide data-based flood information to New Jersey coastal communities.

Furthermore, this assessment can be used to develop a decision-support framework for planning extreme-event evacuation so communities living in critical regions can be better prepared.

road sign and utility poles after Hurricane Maria