Evidence map›Paper›PMID 37549178›Full record

ArticlePloS one2023

Urban human settlements' resilience measurement and characteristics and their mechanism model in China.

Xiaoqi Zhou, Rongjun Ao, Yuanyuan Zhu, Jing Chen, Xue Shen, Yierfanjiang Aihemaitijiang

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

6 authors.

Xiaoqi ZhouKey Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan, Hubei, China.
Rongjun AoKey Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan, Hubei, China.ORCID 0000-0003-3185-4917
Yuanyuan ZhuKey Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan, Hubei, China.
Jing ChenKey Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan, Hubei, China.
Xue ShenKey Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan, Hubei, China.
Yierfanjiang AihemaitijiangKey Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces the principle of resilience into the study of human settlements. In this study, a comprehensive evaluation model of urban human settlements' resilience based on the provincial region of China was constructed using the Driver-Pressure-State-Impact-Response framework. The spatio-temporal evolution characteristics of urban human settlements' resilience was explored. The influencing factors were analysed by geographical detectors, and the driving mechanism was constructed. Results show that the following. (1) The resilience level of human settlements in China continued to increase, and the resilience level of each province and city changed significantly. The overall clustering effect showed a tendency to fluctuate and weaken. The distribution of cold spot areas became less and less, and the hot spots were moving from northeast China to southeast China. (2) Significant differences existed in the intensity of the impact of different indicators on the resilience system. The value of the impact factor showed an overall upward trend, and the number of key impact factors increased. (3) Improving the ability of scientific and technological innovation, accelerating the transformation and upgrading of the regional economy, increasing the training of talents and making financial inclination in scientific and technological development and industrial pollution control were all important ways for developing and maintaining the resilience of urban human settlements. This study not only introduces a new evaluation of urban human settlements from the perspective of resilience but also explores key impact indices and driving mechanisms, which provides new ideas for studying urban human settlements.

Indexed as

Environmental PollutionIndustryAptitudeChinaCitiesHumans

Identifiers

PMID37549178
PMCPMC10406327

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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.