Evidence map›Paper›PMID 36497968›Full record

ArticleInternational journal of environmental research and public health2022

Research on Risk and Resilience Evaluation of Urban Underground Public Space.

Xiaojuan Li, Lulu Li, Mingchao Lin, Chi Yung Jim

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 2 countries.

Xiaojuan LiCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China.
Lulu LiCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China.
Mingchao LinCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350108, China.
Chi Yung JimDepartment of Social Sciences, Education University of Hong Kong, Lo Ping Road, Tai Po, Hong Kong, China.ORCID 0000-0003-4052-8363
Fujian Agriculture and Forestry University · CNEducation University of Hong Kong · HK

Funding

MOE (Ministry of Education in China) Project of Humanities and Social Sciences (grant number 20XJC630068).
6 · The paper itself

Abstract

High urban density, land scarcity, rapid population growth, and traffic congestion have restricted urban development. In response, selected multiple functions have increasingly been integrated into the underground public space (UPS) to maximize the 3D utilization of precious urban space. The accelerated intensity of UPS use has alerted safety concerns. UPS with enclosed and confined natures, complex building structures, locations usually in cramped areas, and limited emergency exits are potentially more prone to heavy casualties and losses in natural or human-made disasters. As research on UPS safety is limited and focused on single risks, we attempted to fill the knowledge gap by developing an integrated risk analysis of UPS to understand risk resilience and improve risk management. From the perspective of the UPS system, four latent factors were identified: natural environment, economic environment, facilities and equipment, and physical structure. Seventeen resilience indicators subsumed under the factors were selected based on resilience concepts. A questionnaire was designed to gather opinions on the relative importance rating of the resilience indicators. SPSS and AMOS software were enlisted to build a structural equation model (SEM), validate the data and model, and calculate the path coefficients and index weights to test four hypotheses. The SEM model results were employed to develop a holistic resilience enhancement strategy under a four-phase framework: before, during, after, and long-term, and under four latent factors. The resilience enhancements can optimize UPS disaster prevention, rescue and evacuation, mitigation, and response management.

Indexed as

Disaster PlanningDisastersEnvironmentHumansRisk ManagementUrban Renewalresilience evaluationresilience improvementrisk assessmentsafety scienceunderground public space

Identifiers

PMID36497968
PMCPMC9740947
OpenAlexW4310473876

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.