Evidence map›Paper›PMID 37883466›Full record

ArticlePloS one2023

A research on urban disaster resilience assessment system for rainstorm and flood disasters: A case study of Beijing.

Shuangrui Yu, Ruiqi Li, Yuxi Zhang, Mingfei Wang, Peng Zhang, Aizhi Wu, Fucai Yu, Xiaofeng Zhang, Lin Yang, Yong'an Cui

Abstract read
In one paragraph

Article in PloS one, 2023. 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

10 authors.

Shuangrui YuBeijing Academy of Emergency Management Science and Technology, Beijing, 101117, China.ORCID 0009-0009-2435-4405
Ruiqi LiChina Academy of Urban Planning and Design, Beijing, 100044, China.
Yuxi ZhangBeijing Institute of Astronautical System Engineering, Beijing, 100076, China.
Mingfei WangBeijing Xiaoban Technology Co., Beijing, 100020, China.
Peng ZhangBeijing Academy of Emergency Management Science and Technology, Beijing, 101117, China.
Aizhi WuBeijing Academy of Emergency Management Science and Technology, Beijing, 101117, China.
Fucai YuBeijing Academy of Emergency Management Science and Technology, Beijing, 101117, China.
Xiaofeng ZhangInstitute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing, 100054, China.
Lin YangBeijing Academy of Emergency Management Science and Technology, Beijing, 101117, China.
Yong'an CuiEmergency Rescue Center (Fire Brigade) of Dongying City, Shandong Province, Dongying, 257000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under the background of global climate change, rainstorm and flood disasters have become the most serious cataclysm. Under the circumstances of an increasingly severe risk situation, it is necessary to enhance urban disaster resilience. Based on the disaster resilience process of prevention, absorption, and enhancement, and considering the safety factors such as personnel, facility, environment and management, this paper forms a dual dimension of the urban disaster resilience assessment model covering the key elements of urban disaster response and the core capacity of urban disaster recovery. Furthermore, if taking into account the characteristics of rainstorm and flood disasters, the paper screens the key indicators to build up an assessment index system of an urban rainstorm and flood disaster. The practical application was implemented in Beijing to have an assessment of the ability to recover from rainstorm and flood disasters in all districts of Beijing. And then, some pertinent suggestions for enhancing the resilience of Beijing to rainstorm and flood disasters were proposed.

Indexed as

DisastersFloodsBeijingChinaClimate Change

Identifiers

PMID37883466
PMCPMC10602262

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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.