Characterization of Network Topology to Support Infrastructure Asset Management
Bibliographic Data
| ID | 12456294 |
|---|---|
| Authors | Andrea Garland (Virginia Tech, Blacksburg, corresponding author), Gerardo W Flintsch (0000-0003-4440-0711), Gerardo Flintsch (Virginia Tech, Blacksburg), Michael J Garvin (0000-0002-3209-8749, Virginia Tech, Blacksburg,), Elisa D Sotelino (0000-0002-2863-7498), Elisa Sotelino (Virginia Tech, Blacksburg) |
| Year | 2009 |
| Volume | 14 |
| Issue | 1 |
| Pages | 81-101 |
| Publication date | 2009-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Works Management & Policy (JOURNAL) |
| Journal identifiers | ISSN: 1087-724X • E-ISSN: 1552-7549 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/1087724x09333939 |
| OpenAlex | W2057207498 |
| Language | EN |
| References cited | 8 |
Recent advances in network theory hold promise for improving how infrastructure managers make decisions about their portfolio of assets. A framework that incorporates contemporary perspectives of networks is presented, which permits modeling the topology of an infrastructure network. The framework is capable of characterizing the components of the overall system and subnetworks and the direct and indirect interactions among these components. This framework is applied to a transportation system, which allows the authors to investigate the importance of the various components as elements of a complex network and use this data to support transportation asset management. The study shows that the links determine how the infrastructure network grows and that problems like congestion can be addressed by analyzing other factors related to topology, such as speed, unit size, and lane width. The proposed methodology appears promising as an asset management tool
Asset (computer security · Asset management · Business · Computer network · Computer security · Network management · Network topology · Portfolio · Risk analysis (engineering · Topology (electrical circuits · Complex Network Analysis Techniques · Computer Science · Engineering · Infrastructure Resilience and Vulnerability Analysis · Network Security and Intrusion Detection · Finance
| Highly cited | No |
|---|