Evidence map›Paper›PMID 41071824›Full record

ArticlePloS one2025

Data-driven assessment of Apulian road network resilience: Bridge unavailability and inner municipality isolation impact.

Niloofar Kheirkhahan, Loredana Bellantuono, Nicola Amoroso, Roberto Cilli, Lorenzo De Biase, Valentina Lucaferri, Alfonso Monaco, Chiara Ormando, Ester Pantaleo, Domenico Pomarico and 3 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Niloofar KheirkhahanDipartimento Interateneo di Fisica "M. Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy.
Loredana BellantuonoDipartimento di Biomedicina Traslazionale e Neuroscienze (DiBraiN), Università degli Studi di Bari Aldo Moro, Bari, Italy.ORCID https://orcid.org/0000-0002-1333-2675
Nicola AmorosoIstituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Università degli Studi di Bari Aldo Moro, Bari, Italy.
Roberto CilliDipartimento Interateneo di Fisica "M. Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy.
Lorenzo De BiaseENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Bologna Research Center, Bologna, Italy.
Valentina LucaferriENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Casaccia Research Center, Rome, Italy.
Alfonso MonacoDipartimento Interateneo di Fisica "M. Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy.
Chiara OrmandoENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Casaccia Research Center, Rome, Italy.ORCID https://orcid.org/0000-0003-0762-5444
Ester PantaleoDipartimento Interateneo di Fisica "M. Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy.ORCID https://orcid.org/0000-0001-8407-9032
Domenico PomaricoDipartimento Interateneo di Fisica "M. Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy.ORCID https://orcid.org/0000-0002-0157-3471
Sabina TangaroIstituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Università degli Studi di Bari Aldo Moro, Bari, Italy.ORCID https://orcid.org/0000-0002-1372-3916
Alberto TofaniENEA, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Casaccia Research Center, Rome, Italy.
Roberto BellottiDipartimento Interateneo di Fisica "M. Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Road networks are crucial for the movement of resources, passenger transportation, and supply chains. In seismically active areas like Italy, earthquakes can compromise road infrastructure, leading to structural failures and connectivity disruptions. Bridges, vital for travel and emergency response, are especially vulnerable to these extreme events, making their maintenance and recovery crucial for preserving transport efficiency. This study examines the resilience of the Apulian road network against bridge failures by assessing seismic hazards, the structural vulnerability of each bridge to seismic actions, and the systemic consequences of its disruption. A bridge criticality score is defined to support data-driven decision-making for bridge maintenance and recovery. This novel quantitative metric integrates seismic hazard data at each bridge site, fragility curves, and topological complex network analysis to provide a comprehensive evaluation of bridge criticality. Additionally, the risk of isolation for inner municipalities due to bridge disruptions is assessed using centrality metrics. By combining the bridge criticality score with an emphasis on inner municipalities, this approach offers valuable insights to improve road network resilience, mitigate isolation risks, and promote territorial sustainability in earthquake-prone zones.

Indexed as

EarthquakesTransportationCitiesHumansItaly

Identifiers

PMID41071824
PMCPMC12513624

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.