Evidence map›Paper›PMID 36078514›Full record

ArticleInternational journal of environmental research and public health2022

Urban Form and Function Optimization for Reducing Carbon Emissions Based on Crowd-Sourced Spatio-Temporal Data.

Fangjie Cao, Yun Qiu, Qianxin Wang, Yan Zou

Abstract read
PubMed Full text at PMC Publisher
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
–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

4 authors.

Fangjie CaoSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0001-5353-1874
Yun QiuSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0001-8263-3511
Qianxin WangSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0002-8253-8597
Yan ZouSchool of Humanity and Law, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The low-carbon city has become an important global urban development-oriented goal. One important aspect of urban space is low-carbon urban planning, which has a vital role in urban carbon emissions. Which types of urban form and function allocations are conducive to reducing carbon emissions is therefore a key issue. In this study, the Futian and Luohu Districts of Shenzhen, Guangdong Province, China, are taken as an example to investigate this issue. Firstly, a "head/tail" breaks method based on the third fractal theory is adopted to obtain the minimum evaluation parcel of urban space. Then, the Landscape Shape Index (LSI), Fragmentation Index (C), Shannon's Diversity Index (SHDI), and Density of Public Facilities (Den) are used to evaluate the form and function allocation of each parcel. In addition, the CO

Indexed as

CarbonCrowdsourcingCarbon DioxideChinaCitiesCity PlanningCarbonCarbon DioxideCO2 concentrationLandscape Shape Indexlow-carbon urban planningOSMPOI

Identifiers

PMID36078514
PMCPMC9518180

What OpenQuestion holds

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LicenceCC BY
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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.