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Title:

Impacts of Model Resolution on Transportation Network Criticality Rankings

Accession Number:

01628702

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

Objective rankings of the criticality of transportation network infrastructure are essential for efficiently allocating limited adaptation resources and must account for network connectivity and travel demand. Road link criticality can be quantified by the total travel delay caused when the capacity of a road segment or link is disrupted or removed. These methods can use standard travel demand models, but the exclusion of lower-volume roads and the aggregate nature of traffic analysis zones may distort resulting criticality rankings. To test the impact of link exclusion and demand aggregation, the authors applied the network robustness index, a well-established link criticality measure, to a hypothetical network with varying levels of network resolution and demand aggregation. The results show a statistically significant change in criticality rankings when demand is aggregated and especially when links are excluded from the network, suggesting that criticality rankings may be distorted when estimated with typical demand models. Application to a road network in Vermont supports the finding on the impact of network resolution on criticality rankings.

Monograph Title:

Planning Applications

Monograph Accession #:

01634576

Report/Paper Numbers:

17-05624

Language:

English

Authors:

Dowds, Jonathan
Sentoff, Karen
Sullivan, James L
Aultman-Hall, Lisa

Pagination:

pp 93–100

Publication Date:

2017

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2653
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441599

Media Type:

Digital/other

Features:

Figures (2) ; References (24) ; Tables (10)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 8 2016 12:14PM

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