Evidence map›Paper›PMID 29518956›Full record

ArticleInternational journal of environmental research and public health2018

Neighborhood Variation of Sustainable Urban Morphological Characteristics.

Poh-Chin Lai, Si Chen, Chien-Tat Low, Ester Cerin, Robert Stimson, Pui Yun Paulina Wong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. 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

6 authors.

Poh-Chin LaiDepartment of Geography, University of Hong Kong, Hong Kong, China. pclai@hku.hk.
Si ChenDepartment of Environment, Technological and Higher Education Institute of Hong Kong, Hong Kong, China. sissichen@vtc.edu.hk.
Chien-Tat LowDepartment of Geography, University of Hong Kong, Hong Kong, China. chientat@hku.hk.ORCID 0000-0002-8040-1757
Ester CerinInstitute for Health and Ageing, Australian Catholic University, Melbourne, VIC 3000, Australia. ecerin@hku.hk.ORCID 0000-0002-7599-165X
Robert StimsonSchool of Geography, University of Melbourne, Parkville, VIC 3010, Australia. rstimson@unimelb.edu.au.
Pui Yun Paulina WongScience Unit, Lingnan University, Hong Kong, China. paulinawong@ln.edu.hk.ORCID 0000-0003-3804-3041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compact cities and their urban forms have implications on sustainable city development because of high density urban settlement, increased accessibility, and a balanced land use mix. This paper uses quantitative means of understanding urban morphological characteristics with reference to the differing qualities of the urban form (i.e., street patterns, building volumes, land uses and greenery). The results, based on 89 neighborhood communities of Hong Kong, show varying degrees of regional differences in the urban built form supported by numerical statistics and graphical illustrations. This paper offers empirical evidence on some morphological characteristics that can be estimated objectively using modern geospatial technologies and applied universally to inform urban planning. However, more studies linking these quantifiable measures of the physical form with sustainable urban living are needed to account for human comfort in the totality of environmental, social, and economic responsibilities.

Indexed as

City PlanningSustainable DevelopmentCitiesHong KongResidence Characteristicsbuilding volumegreen spaceland use mixmorphologyroad networksurban sustainability

Identifiers

PMID29518956
PMCPMC5877010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.