Evidence map›Paper›PMID 31269765›Full record

ArticleSensors (Basel, Switzerland)2019

Evaluation of the Equity of Urban Park Green Space Based on Population Data Spatialization: A Case Study of a Central Area of Wuhan, China.

Chuandong Tan, Yuhan Tang, Xuefei Wu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Assessing the Equity of Accessibility to Urban Green Space: A Study of 254 Cities in China.International journal of environmental research and public health · 2022
    Article
  6. Article
  7. 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

3 authors.

Chuandong TanDepartment of Landscape Architecture, College of Horticulture and Forestry, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan 430070, China.
Yuhan TangDepartment of Landscape Architecture, College of Horticulture and Forestry, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan 430070, China.
Xuefei WuDepartment of Landscape Architecture, College of Horticulture and Forestry, Huazhong Agricultural University, No. 1, Shizishan Street, Hongshan District, Wuhan 430070, China. wuxf@mail.hzau.edu.cn.

Funding

Fundamental Research Funds for the Central Universities 2662018JC042
6 · The paper itself

Abstract

To measure the equity of urban park green space, spatial matching between service supply and user group demand should be taken into consideration. However, if the demographic data, with the administrative division as the basic unit, are directly applied to characterize the spatial distribution of a user group, it may introduce inevitable deviation into the evaluation results due to the low-resolution nature and modifiable areal unit problem of such data. Taking the central area of Wuhan as an example, the population data spatialization method based on land use modeling was used to build a geographically weighted regression (GWR) model of land cover type and demographic data, and the spatial distribution of the population of the 150 m grid was obtained by inversion. Then, the equity of park green space in Wuhan central city was evaluated by population spatial data and network accessibility. The results showed that (1) the range of park green space in the central urban area of Wuhan was within a walking distance of 15 min, accounting for 25.8% of the total study area and covering 54.2% of the population in the study area; (2) the equity of park green space in Hongshan District was the worst; (3) and the use of population spatial data can measure equity on a more precise scale.

Indexed as

accessibilityequitypopulation data spatializationurban park green space

Identifiers

PMID31269765
PMCPMC6651491

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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.