Evidence map›Paper›PMID 35886094›Full record

ArticleInternational journal of environmental research and public health2022

Estimation and Potential Analysis of Land Population Carrying Capacity in Shanghai Metropolis.

Hefeng Wang, Yuan Cao, Xiaohu Wu, Ao Zhao, Yi Xie

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
0.3field-weighted citation impact, top 44% 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, 5 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Hefeng WangSchool of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, China.ORCID 0000-0003-2713-0756
Yuan CaoSchool of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, China.
Xiaohu WuSchool of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, China.
Ao ZhaoSchool of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, China.
Yi XieSchool of Mining and Geomatics Engineering, Hebei University of Engineering, Handan 056038, China.
Hebei University of Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is of great practical significance to understand the current situation of urban land carrying capacity, explore its potential space, and continuously improve the economic adaptability and resilience and population carrying capacity of megacities. Based on the guiding principle of territorial spatial division and the concept of moderate-scale resilient cities, combined with GIS technology, this study aims to divide land spaces into three types and construct different index systems to evaluate the land carrying capacity of Shanghai in different spaces. Furthermore, we propose different schemes of estimating subspace land population carrying capacity, and the carrying potential of land population is analysed as well. The acquired results demonstrate three key points. Firstly, the total land population capacity of Shanghai is estimated at 25,476.61-32,047.27 people, with urban land space being the most dominant for the city's population carrying capacity. Furthermore, the inner suburbs carry the largest population, and the urban centre carries a larger population density than other areas. Secondly, there are significant spatial differences in land population carrying potential. Compared with the demographic data from 2017, Shanghai still has a population carrying potential of 1293.30-7863.97 people and a suitable population carrying potential of 4578.64 people. The population of the urban centre is near the upper limit of the estimated population carrying capacity, and the suburbs, especially the outer suburbs, have large population carrying potential. Thirdly, the estimation method adopted in this study can effectively reveal the spatial differences in population carrying capacity and the potential of different land spaces and different regions in Shanghai, with the estimation results being highly credible. The results will provide references for the improvement of the multi-scenario population planning strategy in Shanghai, as well as enrich the research span and methods currently employed in land carrying capacity.

Indexed as

Conservation of Natural ResourcesChinaCitiesHumansland use spacepopulation estimationpotential analysisShanghai Metropolisurban land carrying capacity

Identifiers

PMID35886094
PMCPMC9318968
OpenAlexW4283837632

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.