Evidence map›Paper›PMID 35222554›Full record

ArticleJournal of mountain science2022

Seismic vulnerability assessment of urban buildings using the rough set theory and weighted linear combination.

Yasaman Asadi, Najmeh Neysani Samany, Majid Kiavarz Moqadam, Ata Abdollahi Kakroodi, Meysam Argany

Abstract read
In one paragraph

Article in Journal of mountain science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Yasaman AsadiDepartment of Remote Sensing and GIS, Faculty of Geography, University Tehran, Tehran, 33137-67464 Iran.ORCID https://orcid.org/0000-0002-2890-8972
Najmeh Neysani SamanyDepartment of Remote Sensing and GIS, Faculty of Geography, University Tehran, Tehran, 33137-67464 Iran.ORCID https://orcid.org/0000-0002-4456-6271
Majid Kiavarz MoqadamDepartment of Remote Sensing and GIS, Faculty of Geography, University Tehran, Tehran, 33137-67464 Iran.ORCID https://orcid.org/0000-0003-0335-3795
Ata Abdollahi KakroodiDepartment of Remote Sensing and GIS, Faculty of Geography, University Tehran, Tehran, 33137-67464 Iran.ORCID https://orcid.org/0000-0002-2369-7459
Meysam ArganyDepartment of Remote Sensing and GIS, Faculty of Geography, University Tehran, Tehran, 33137-67464 Iran.ORCID https://orcid.org/0000-0001-6577-4443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seismic vulnerability assessment of urban buildings is among the most crucial procedures to post-disaster response and recovery of infrastructure systems. The present study proceeds to estimate the seismic vulnerability of urban buildings and proposes a new framework training on the two objectives. First, a comprehensive interpretation of the effective parameters of this phenomenon including physical and human factors is done. Second, the Rough Set theory is used to reduce the integration uncertainties, as there are numerous quantitative and qualitative data. Both objectives were conducted on seven distinct earthquake scenarios with different intensities based on distance from the fault line and the epicenter. The proposed method was implemented by measuring seismic vulnerability for the seven specified seismic scenarios. The final results indicated that among the entire studied buildings, 71.5% were highly vulnerable as concerning the highest earthquake scenario (intensity=7MM and acceleration calculated based on the epicenter), while in the lowest earthquake scenario (intensity=5MM), the percentage of vulnerable buildings decreased to approximately 57%. Also, the findings proved that the distance from the fault line rather than the earthquake center (epicenter) has a significant effect on the seismic vulnerability of urban buildings. The model was evaluated by comparing the results with the weighted linear combination (WLC) method. The accuracy of the proposed model was substantiated according to evaluation reports. Vulnerability assessment based on the distance from the epicenter and its comparison with the distance from the fault shows significant reliable results.

Indexed as

Earthquake scenariosRough set theorySeismic vulnerabilityUrban buildingsWLC

Identifiers

PMID35222554
PMCPMC8860296

What OpenQuestion holds

Textmetadata
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.