Evidence map›Paper›PMID 38361119›Full record

ArticleScientific reports2024

Schedule risk model of water intake tunnel construction considering mood factors and its application.

Xin Li, Wei Sun, Honggang Fu, Qingsheng Bu, Zhiguang Zhang, Jian Huang, Dongnian Zang, Yuan Sun, Yong Ma, Rui Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
2.3field-weighted citation impact, top 14% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

12 authors at 3 institutions in 1 country.

Xin LiJiangsu Collaborative Innovation Center for Building Energy Saving and Construct Technology, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, 221116, China. xinli_2009@qq.com.
Wei SunJinggu Environment Construction Co., Ltd, Nanjing, 211000, China.
Honggang FuSinohydro Engineering Bureau 7 Co., Ltd, Chengdu, 610081, China.
Qingsheng BuXuzhou Water Conservancy Engineering Construction Supervision Center Co., Ltd, Xuzhou, 221000, China.
Zhiguang ZhangXuzhou Water Conservancy Engineering Construction Supervision Center Co., Ltd, Xuzhou, 221000, China.
Jian HuangXuzhou Hydraulic Engineering Construction Co., Ltd, Xuzhou, 221006, China.
Dongnian ZangSuyu Bureau of Water Resources in Suqian City, Suqian, 223800, China.
Yuan SunJiangsu Water Conservancy Construction Engineering Co., Ltd, Yangzhou, 225100, China.
Yong MaXuzhou Hydraulic Engineering Construction Co., Ltd, Xuzhou, 221006, China.
Rui WangJinggu Environment Construction Co., Ltd, Nanjing, 211000, China.
Jingjing HuXuzhou Water Conservancy Engineering Operation Management Center, Xuzhou, 221018, China.
Yanan ShenYishu River Water Conservancy Administration, Linyi, 276001, China.
Xuzhou Construction Machinery Group (China) · CNJiangsu Provincial Water Survey & Design Institute (China) · CNJiangsu Vocational Institute of Architectural Technology · CN

Funding

Jiangsu Collaborative Innovation Center for Building Energy Saving and Construct Technology, Young Ph.D. Fund-Funded Projects SJXTBS2103Jiangsu Provincial Department of Housing and Urban-Rural Development 2019 Provincial Construction System Science and Technology Project 2019ZD084Jiangsu Provincial Department of Housing and Urban-Rural Development 2019 Provincial Construction System Science and Technology Project 2023ZD041the 2020 School-level Scientific Research Project of Jiangsu Vocational Institute of Architectural Technology JYJBZX20-07
6 · The paper itself

Abstract

The mood index [Formula: see text] was used to describe evaluator attitudes regarding the progress of a project that formed the basis of a construction period prediction model. The degrees of pessimism [Formula: see text] and optimism [Formula: see text] were introduced, and an analysis model was established using [Formula: see text] and [Formula: see text] to predict the construction period and completion probability Firstly, the absolute construction period of each process of tunnel No. 2 can be obtained according to the measured daily average footage of each process of tunnel No. 1. Secondly, the probability of the stoppage caused by different factors can be obtained after the statistical analysis of the factors responsible for the stoppage of tunnel No. 1. Finally, the expected construction period and completion probability of tunnel No. 2 under different pessimism and optimism conditions are obtained by using the progress risk analysis theory of emotional models and the program evaluation and review technique method. An engineering application showed that the expected construction period increased, and the completion probability decreased considerably with increasing pessimism; the opposite trend occurred as optimism increased. During the process of risk management and control, the prediction model can be used to perform precise quantitative analysis of the expected construction period and completion probability, reduce the blindness of construction management, control decisions of complex giant tunnel projects, and provide a more accurate basis for decision makers to judge risks. The findings of this study can be applied to hydraulic tunnels and can provide a reference for traffic tunnels, railway tunnels, and other similar projects.

Indexed as

DrinkingText MessagingAffectProbabilityRisk Assessment

Identifiers

PMID38361119
PMCPMC11336182
OpenAlexW4391838817

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.