Evidence map›Paper›PMID 32221837›Full record

ArticleEnvironmental science and pollution research international2020

Evaluation of urban comprehensive carrying capacity: case study of the Beijing-Tianjin-Hebei urban agglomeration, China.

Lingling Zhao, Jiaying Li, Qinglong Shao

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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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

3 authors.

Lingling ZhaoChina Center for Special Economic Zone Research, Shenzhen University, Shenzhen, 518060, China.
Jiaying LiShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Qinglong ShaoChina Center for Special Economic Zone Research, Shenzhen University, Shenzhen, 518060, China. shao.qinglong@szu.edu.cn.

Funding

China Postdoctoral Science Foundation 2019M653047National Natural Science Foundation of China 71903131
6 · The paper itself

Abstract

An evaluation indexing system based on the theory of coordination was constructed to estimate the urban carrying capacity (UCC) of the Beijing-Tianjin-Hebei (BTH) region with four subsystems: social, economic, environmental, and transportation. This indexing system revealed the interactions between "supply" and "demand." The improved entropy method was adopted to calculate the weight of 17 indicators and evaluate the comprehensive UCC of 13 cities in the BTH region using data covering the period 1990-2018. The results showed that two cities, Tangshan (UCC of - 0.0021) and Handan (UCC of - 0.0009), were "overloaded" in 2018, while the other 11 cities were "loadable." The social and transportation subsystems played the most crucial roles in the evaluation. Based on the results, Baoding achieved the highest UCC, while that of Tangshan was the lowest. The results could play a significant role in decision-making relating to the sustainable development of the BTH region. Three policy implications are proposed based on these findings: (i) the efficiency of resource utilization and scientific allocation should be enhanced and industrial optimization and upgrading should be promoted, (ii) the coordinated development of urbanization and environment in the region should be improved, and (iii) the integration of traffic decongestion measures should be faster, and industrial docking systems should be enhanced.

Indexed as

Conservation of Natural ResourcesUrbanizationBeijingChinaCitiesEnvironmental MonitoringBeijing–Tianjin–HebeiImproved entropy methodUrban carrying capacity

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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.