Evidence map›Paper›PMID 31092824›Full record

ArticleNature communications2019

Local floods induce large-scale abrupt failures of road networks.

Weiping Wang, Saini Yang, H Eugene Stanley, Jianxi Gao

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Network dismantling by physical damage.Communications physics · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. A spatiotemporal decay model of human mobility when facing large-scale crises.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Article
  12. Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Weiping WangState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China.ORCID http://orcid.org/0000-0001-7307-3735
Saini YangState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, PR China. yangsaini@bnu.edu.cn.ORCID http://orcid.org/0000-0002-3390-8264
H Eugene StanleyCenter for Polymer Studies and Department of Physics, Boston University, Boston, MA, 02215, USA.
Jianxi GaoDepartment of Computer Science, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA. gaoj8@rpi.edu.ORCID http://orcid.org/0000-0002-3952-208X

Funding

China Scholarship Council (CSC) 201606040133National Science Foundation (NSF) CHE-1213217National Science Foundation (NSF) CMMI-1125290Science Fund for Creative Research Groups (Fund for Creative Research Groups) 41621061United States Department of Defense | Defense Threat Reduction Agency (DTRA) HDTRA1-14-1-0017
6 · The paper itself

Abstract

The adverse effect of climate change continues to expand, and the risks of flooding are increasing. Despite advances in network science and risk analysis, we lack a systematic mathematical framework for road network percolation under the disturbance of flooding. The difficulty is rooted in the unique three-dimensional nature of a flood, where altitude plays a critical role as the third dimension, and the current network-based framework is unsuitable for it. Here we develop a failure model to study the effect of floods on road networks; the result covers 90.6% of road closures and 94.1% of flooded streets resulting from Hurricane Harvey. We study the effects of floods on road networks in China and the United States, showing a discontinuous phase transition, indicating that a small local disturbance may lead to a large-scale systematic malfunction of the entire road network at a critical point. Our integrated approach opens avenues for understanding the resilience of critical infrastructure networks against floods.

Identifiers

PMID31092824
PMCPMC6520386

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.