Evidence map›Paper›PMID 35362729›Full record

ArticleEnvironmental management2022

Public Perceptions of Green Roofs and Green Walls in Tokyo, Japan: A Call to Heighten Awareness.

C Y Jim, Ling Chui Hui, Christoph D D Rupprecht

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

C Y JimDepartment of Social Sciences, Education University of Hong Kong, Lo Ping Road, Tai Po, Hong Kong, China. cyjim@eduhk.hk.ORCID 0000-0003-4052-8363
Ling Chui HuiDepartment of Social Sciences, Education University of Hong Kong, Lo Ping Road, Tai Po, Hong Kong, China.ORCID 0000-0001-9670-6814
Christoph D D RupprechtDepartment of Environmental Design, Faculty of Collaborative Regional Innovation, Ehime University, Ehime, Japan.ORCID 0000-0003-1809-2129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many cities advocate retrofitting green roofs and green walls (GRGW) to create additional green areas, especially in cramped urban areas. Yet, worldwide, only a handful of studies have evaluated the public views towards the benefits and negative issues and promotion policies of this innovative greening option. To address this gap in the literature, we conducted a survey (N = 500) of residents' opinions towards GRGW in Tokyo, a city with mandatory installation of GRGW for almost two decades. Respondents mostly agreed with the contribution of GRGW to thermal comfort, air quality, and cityscape but weakly endorsed other potential benefits. High costs as well as mosquitoes and plant litter nuisances were the most recognized negative issues. Mandatory installation was the least preferred promotion policy. Instead, respondents expected installation on public buildings and provision of installation guidance. Respondents predominantly held a "moderate" view towards both the benefits and negative issues, showing indifferent attitudes towards GRGW. Income level and housing type shaped the overall perceptions, whereas age, sex, and current living environment influenced perceptions of individual aspects. Our findings signified a need for a bottom-up strategy to heighten public awareness for the advanced development of GRGW to complement and prime the top-down mandatory installation policy.

Indexed as

Air PollutionPublic OpinionAnimalsCitiesJapanTokyoEnvironmental benefitGreen infrastructureGreen roofGreen wallPromotion policyPublic perception

Identifiers

What OpenQuestion holds

Textmetadata
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.