Evidence map›Paper›PMID 36982032›Full record

ArticleInternational journal of environmental research and public health2023

The Interactive Relationship between Street Centrality and Land Use Intensity-A Case Study of Jinan, China.

Chengzhen Song, Qingfang Liu, Jinping Song, Ding Yang, Zhengyun Jiang, Wei Ma, Fuchang Niu, Jinmeng Song

Open access · goldFull text 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
1.4field-weighted citation impact, top 22% 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, 9 citations in OpenAlex.

  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

8 authors at 2 institutions in 1 country.

Chengzhen SongFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0000-0003-1705-3566
Qingfang LiuFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-6802-3765
Jinping SongFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Ding YangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Zhengyun JiangFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Wei MaFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Fuchang NiuFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Jinmeng SongInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Beijing Normal University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is of great significance to study the interactive relationship between urban transportation and land use for promoting the healthy and sustainable development of cities. Taking Jinan, China, as an example, this study explored the interactive relationship between street centrality (SC) and land use intensity (LUI) in the main urban area of Jinan by using the spatial three-stage least squares method. The results showed that the closeness centrality showed an obvious "core-edge" pattern, which gradually decreased from the central urban area to the edge area. Both the betweenness centrality and the straightness centrality showed a multi-center structure. The commercial land intensity (CLUI) showed the characteristics of multi-core spatial distribution, while the residential land intensity (RLUI) and public service land intensity (PLUI) showed the characteristics of spatial distribution with the coexistence of large and small cores. There was an interactive relationship between SC and LUI. The closeness centrality and straightness centrality had positive effects on LUI, and LUI had a positive effect on closeness centrality and straightness centrality. The betweenness centrality had a negative impact on LUI, and LUI also had a negative impact on betweenness centrality. Moreover, good location factors and good traffic conditions were conducive to improving the closeness and straightness centrality of the regional traffic network. Good location factors, good traffic conditions and high population density were conducive to improving regional LUI.

Indexed as

Sustainable DevelopmentTransportationChinaCitiesLeast-Squares AnalysisChinaJinanland use intensitymultiple centrality assessment modelPOI datastreet centrality

Identifiers

PMID36982032
PMCPMC10049117
OpenAlexW4324382104

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read3
measurements read3
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.