Evidence map›Paper›PMID 36157341›Full record

ArticleEnvironmental science and ecotechnology2022

SCC-UEFAS, an urban-ecological-feature based assessment system for sponge city construction.

Zi-Tong Zhao, Hou-Ming Cheng, Sheng Wang, Hai-Yan Liu, Zi-Ming Song, Jun-Hui Zhou, Ji-Wei Pang, Shun-Wen Bai, Shan-Shan Yang, Jie Ding and 1 more

Abstract read
In one paragraph

Article in Environmental science and ecotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Spatial and Temporal Characteristics and Drivers of Agricultural Carbon Emissions in Jiangsu Province, China.International journal of environmental research and public health · 2022
    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

11 authors.

Zi-Tong ZhaoState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.
Hou-Ming ChengState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.
Sheng WangState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.
Hai-Yan LiuCentral & Southern China Municipal Engineering Design and Research Institute Co., Ltd, Wuhan, 430010, China.
Zi-Ming SongCentral & Southern China Municipal Engineering Design and Research Institute Co., Ltd, Wuhan, 430010, China.
Jun-Hui ZhouState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.
Ji-Wei PangChina Energy Conservation and Environmental Protection Group, Beijing, 100089, China.
Shun-Wen BaiState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.
Shan-Shan YangState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.
Jie DingState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.
Nan-Qi RenState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An effective sponge city construction evaluation system plays a crucial role in evaluating sponge city construction schemes. The construction of a sponge city evaluation system still faces challenges related to incomplete index selection and unscientific weight division. Limited studies have focused on the comprehensive assessment of sponge city construction in the early stages. This study constructed a scientific assessment indicator system and a quantitative indicator weight at all levels by literature review and statistical analysis methods from an objective perspective. To demonstrate how to utilize our evaluation methods, three construction schemes randomly generated by MATLAB were evaluated under evaluation states of constant weight and variable weight, respectively. Scheme 3 had the highest score of 0.638 under the constant weight assessment, but it cannot practically be the final construction scheme due to the imbalance between indicators. Compared to the constant weight assessment, a variable weight assessment can effectively balance the states of the evaluation index with changes in the decision variable. Among the three schemes, Scheme 2 is the best choice with a value of 0.0355 under variable weight evaluation due to punishment and incentives in the variable weight method. The concept of "punishing" a disadvantageous indicator and "motivating" an advantageous indicator increases the relative advantages of the indices, ultimately affecting the assessment results of schemes and leading to a more balanced state. This study provides reasonable analysis and decision-making mechanisms to support decision-making and guide the scientific selection of a construction scheme.

Indexed as

Factor analysisPrincipal component analysisSponge city evaluation systemVariable weight theory

Identifiers

PMID36157341
PMCPMC9500370

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.