Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Computers & industrial engineering, 2015-11, Vol.89, p.137-149
2015

Details

Autor(en) / Beteiligte
Titel
Dynamic impacts of commodity flow disruptions in inland waterway networks
Ist Teil von
  • Computers & industrial engineering, 2015-11, Vol.89, p.137-149
Ort / Verlag
New York: Elsevier Ltd
Erscheinungsjahr
2015
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • •We use dynamic multi-regional interdependency models for studying inland port disruptions.•We build simulation models for normal and disruptive waterway network operations.•Our work quantifies impact of multi-regional, multi-industry damage on interdependent economies.•The study of multi-regional, multi-industry impacts benefit the preparedness process for important waterway infrastructure. Freight and passenger transport in the US is projected to increase substantially by 2035 making a strong case for greater usage of the inland waterway barge transport. Inland waterway networks constitute an important component of the US multi-modal transport infrastructure spanning 25,000 miles of navigable routes across 38 states. Risk-based preparedness planning for inland waterway networks requires a means to assess the interdependent impacts associated with closures to inland waterway infrastructure. This study proposes a dynamic framework to assess multi-regional, multi-industry losses due to disruptions on the waterway networks, including ports and waterway links. We investigate simulation-driven disruptive scenarios, such as dock closures, that affect daily commerce across the waterway network and integrate with a dynamic interdependency model to quantify the effect of disruptions on industry inoperability across multiple regions and multiple industries. We implement our framework with a data-driven case study of the operations at the Port of Catoosa on the McClellan–Kerr Arkansas River branch of the Mississippi River Navigation System. Resulting dock-specific, industry-specific, and region-specific insights can guide preparedness decision making.
Sprache
Englisch
Identifikatoren
ISSN: 0360-8352
eISSN: 1879-0550
DOI: 10.1016/j.cie.2014.11.016
Titel-ID: cdi_proquest_miscellaneous_1778016671

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX