Evidence map›Paper›PMID 37520957›Full record

ArticleHeliyon2023

A multi-scale approach mapping spatial equality of urban public facilities for urban design.

Mei Liu, Juan Yan, Tianchen Dai

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mei LiuSchool of Architecture, Harbin Institute of Technology, Shenzhen, China.
Juan YanCollege of Architecture and Urban Planning, Tongji University, Shanghai, China.
Tianchen DaiSchool of Design, East China Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial equality analysis is useful for urban designers and policy makers to produce and/or adapt urban services provision, while supporting the pursuit of the public interest in the urban design process. This research focuses on urban public facilities (UPFs), the most relevant physical elements serving the public interest, and proposes a multi-scale methodology from a practical perspective to understand and foster the spatial equality of UPFs. Using Shenzhen to test the approach, this research first investigates the density and aggregation of UPFs at the district level to recognize how developing differentiations and social context act on the spatial patterns in UPFs. Second, the accessibility of different types of UPF are measured at the sub-district level which emphasizes the spatial impedance between demand and supply and the availability of services. Then, we draw location-specific design strategies for better spatial equality at a site scale. The results show "cross-district impact" plays an important role in influencing overall spatial equality. Also, sufficient transportation networks, road configurations, and the diversity of UPFs could significantly improve service capacity and impact the achievement of spatial equality. This paper draws attention to the improvement of spatial equality and can contribute new insights to the interpretation and measurement of the spatial equality in urban design debates.

Indexed as

MappingSpatial equalityUrban designUrban public facility

Identifiers

PMID37520957
PMCPMC10382298

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.