Evidence map›Paper›PMID 36833939›Full record

ArticleInternational journal of environmental research and public health2023

City Health Examination and Evaluation of Territory Spatial Planning for SDG11 in China: A Case Study of Xining City in Qinghai Province.

Xiangjuan Zhao, Hanxuan Zhang, Jun Ren, Jing Guo, Quanxi Wang, Chengying Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
–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

2 citing papers in PubMed.

  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

6 authors.

Xiangjuan ZhaoSchool of Civil Engineering, Qinghai University, Xining 810016, China.
Hanxuan ZhangSchool of Civil Engineering, Qinghai University, Xining 810016, China.
Jun RenSchool of Civil Engineering, Qinghai University, Xining 810016, China.
Jing GuoInstitute of Eco-Environment, Qinghai Academy of Social Sciences, Xining 810016, China.
Quanxi WangSchool of Grammar, Northeastern University, Shenyang 110169, China.
Chengying LiSchool of Civil Engineering, Qinghai University, Xining 810016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

City health examination and evaluation of territorial spatial planning is a new policy tool in China. However, research on city health examination and evaluation of territorial spatial planning is still in the exploratory stage in China. Guided by sustainable cities and communities (SDG11), a reasonable city health examination and evaluation index system for Xining City in Qinghai Province is constructed in this paper. The improved technique for order preference by similarity to ideal solution (TOPSIS) was used to quantify the evaluation results, and the city health index was visualized using the city health examination signals and warning panel. The results show that the city health index of Xining City continuously rose from 35.76 in 2018 to 69.76 in 2020. However, it is still necessary to address the shortcomings in innovation, coordination, openness and sharing and to improve the level of city space governance in a holistic way. This study is an exploration of the methodology used in city health examination and the evaluation of territorial spatial planning in China, which can provide a foundation for the sustainable development of Xining City and also provide a case reference for other cities seeking to carry out city health examinations and evaluations of territorial spatial planning in China.

Indexed as

City PlanningSustainable DevelopmentChinaCitiesCluster Analysiscity health examination and evaluationimproved TOPSIS methodSDG11territorial spatial planningXining city

Identifiers

PMID36833939
PMCPMC9958565

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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.