Preprint has been published in a journal as an article
DOI of the published article https://doi.org/10.1016/j.ijcip.2021.100462
Preprint / Version 9

Critical Flow Centrality Measures on Interdependent Networks with Time-Varying Demands

##article.authors##

DOI:

https://doi.org/10.31224/osf.io/yp2j7

Keywords:

centrality measures, component importance measures, interdependent networks, planning support systems

Abstract

This paper describes a novel method for allowing urban planners and municipal engineers to identify critical components of interdependent infrastructure networks whose attributes vary over time. The method is based on critical flow analysis, wherein system components are ranked by their role in facilitating the flow of resources to critical locations. The intent of the method is to support decision making by providing a means by which stakeholders can reason about the way in which changes in supply, demand, or network capacity can alter the distribution of critical flows within an urban environment. Individual infrastructure systems are modeled as networks that can be linked to one another by physical and geospatial dependencies. A simple instantiation of the method is presented and evaluated on a district-scale model of a city that contains water and electricity networks. The paper also discusses two forms of reliability analysis based on critical flows: a composite measure incorporating edge reliability, and a variation on standard component failure/degradation analysis.

Downloads

Download data is not yet available.

Posted

2019-10-21 — Updated on 2019-10-21

Versions