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Quantifying Road-Network Robustness toward Flood-Resilient Transportation Systems

Suchat Tachaudomdach, Auttawit Upayokin, Nopadon Kronprasert, Kriangkrai Arunotayanun

2021 · Sustainability, 13(6), 3172 · Modelling study

Full-text sections checked

Abstract, §3 Methodology and §5 Discussion via indexed publisher text

Checked15 October 2026 · Chiang Mai, Thailand

Thai/English summaries are project paraphrases, not official translations or endorsement of the original study.

Research question

How can road robustness be measured across flood levels?

Method and context

Four-stage framework using edge- and node-betweenness models.

Study summary

Connects water levels, damage footprints and network recovery thresholds.

Findings

Affected links, intersections and vehicles complement inundated-area indicators.

Contribution

Adds network indicators for comparing protection and restoration options.

Interpretation limits

Authors note disruption assessments depend on chosen recovery thresholds.

Connect evidence to KSEC / OBE

Project-proposed critical-appraisal evidence, not research findings or accreditation criteria from the original authors.

K
Explain the question, concepts and findings with locators in the original.
S
Compare methods, variables and limitations with another study before designing a test or CPX.
E
Separate reported results from your proposals, cite originals and examine implications for vulnerable groups.
C
Record responses to critique and revisions after new evidence. Observe behaviour repeatedly, not from a single reading.

Related learning modules

Related knowledge domains

Original-study citation

Suchat Tachaudomdach; Auttawit Upayokin; Nopadon Kronprasert; Kriangkrai Arunotayanun (2021). Quantifying Road-Network Robustness toward Flood-Resilient Transportation Systems. Sustainability, 13(6), 3172. https://doi.org/10.3390/su13063172

Verify details against the original and format for your journal or institution. Titles and author names follow the source.

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