The Framework for Calculating the Measure of Resilience for Intermodal Transportation Systems

Zhang, Li; Wen, Yi; Jin, Mingzhou; National Center for Intermodal Transportation for Economic Competitiveness

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The Framework for Calculating the Measure of Resilience for Intermodal Transportation Systems

2009-08-14
By Zhang, Li ; Wen, Yi ; Jin, Mingzhou

[PDF-630.26 KB]

English

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Details:

Creators:

Zhang, Li ; Wen, Yi ; Jin, Mingzhou

Zhang, Li ; Wen, Yi ; Jin, Mingzhou Less -
Corporate Creators:

National Center for Intermodal Transportation for Economic Competitiveness
Corporate Contributors:

University of Colorado at Denver ; Mississippi State University

University of Colorado at Denver ; Mississippi State University Less -
Subject/TRT Terms:

[+]

Containerization Containerization--Mathematical Models Containerization--Mississippi--Mathematical Models Mathematical Models Network Analysis (Planning) Research Hub Shipment Of Goods--Mathematical Models Shipments
Publication/ Report Number:

#10-05-09
Resource Type:

Tech Report
Geographical Coverage:

Mississippi ; United States

Mississippi ; United States Less -
OCLC Number:

727805935
Edition:

Final report.
Corporate Publisher:

National Center for Intermodal Transportation
Abstract:

A literature review indicates no conforming approval on the measure of resilience (MOR) for intermodal transportation systems (1, 2, 3). The objective of this report is to develop a framework for calculating the measure of resilience (MOR) to disaster for intermodal transportation systems. TransCAD was used to model the intermodal network and generate transportation data for the MORs calculation procedure. Intermodal Origin-Destination (OD) traffic before and after disaster struck was estimated based on the study area’s population and employment data. The pre-disaster and post-disaster population and employment data will be collected at county level and disaggregated to each Traffic Analysis Zone (TAZ) by using linear equations. A series of indicators in terms of mobility, accessibility, and reliability were selected to evaluate the intermodal system performance based on the TransCAD outputs. The report further introduced a Performance Index (PI) combining some indicators to measure the system performance regarding mobility. The Level of Service (LOS) of highway network and intermodal terminals before and after disaster was also determined according to the LOS standards. This report defined MORs as the percentage of system performance degradation due to a disaster. A formula was developed to give the intermodal system MOR a quantitative value with respect to mobility, accessibility, and reliability. The above process was reviewed in a case study along the Mississippi Gulf Coast. Results demonstrated the effectiveness of the proposed MOR calculation procedure.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

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urn:sha256:7d25af709a96b5e27065ea6740230b8d478d202a15bf3dbaf3bafb9d40c1dcb9
Download URL:

https://rosap.ntl.bts.gov/view/dot/18503/dot_18503_DS1.pdf
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The Framework for Calculating the Measure of Resilience for Intermodal Transportation Systems

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