Evidence map›Paper›PMID 33513964›Full record

ArticleInternational journal of environmental research and public health2021

Riverside Greenway in Urban Environment: Residents' Perception and Use of Greenways along the Huangpu River in Shanghai, China.

Zheng Zhao, Huimin Gan, Xin Qian, Jiahui Leng, Yanbin Wang, Peipei Wu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Verification of the Perception of the Local Community concerning Air Quality Using ADMS-Roads Modeling.International journal of environmental research and public health · 2022
    Article
  2. Article
  3. 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.

Zheng ZhaoCollege of Tourism, Shanghai Normal University, Shanghai 200234, China.
Huimin GanSchool of Economics and Management, Beijing Forestry University, Beijing 100083, China.
Xin QianCollege of Tourism, Shanghai Normal University, Shanghai 200234, China.
Jiahui LengCollege of Tourism, Shanghai Normal University, Shanghai 200234, China.
Yanbin WangEconomic Development Research Center, National Forestry and Grassland Administration, Beijing 100714, China.
Peipei WuShanghai Business School, College of Business Administration, Shanghai 200235, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban greenways improve green coverage rates in urban environments and transform these environments in a people-oriented manner. This study adopted semantic differential (SD) methods and an importance-performance analysis (IPA) model to evaluate resident perceptions and preferences of riverside greenways. A survey of 588 residents was conducted on typical natural greenways, built greenways, and mixed greenways along the Huangpu River in Shanghai. The results showed that resident perceptions of style, space, and distance differed markedly, whereas their perceptions of environmental and psychological characteristics were relatively similar. There were strong correlations between residents' characteristics and their perceptions, especially for their perceptions of greenway style, sense of order, and distance from the river. By comparison, most residents preferred mixed greenways. Additionally, respondents from areas with natural and mixed greenways believed that they benefited, whereas those from areas with built greenways displayed a potential sense of deprivation. The results of IPA analysis provide further support for the above conclusions. As a whole, the relatively simple methods demonstrated here could be useful to quantitatively analyze the subjective perceptions of urban residents.

Indexed as

PerceptionRiversChinaHumansSurveys and QuestionnairesgreenwayIPA modelresident perceptionsemantic differential scaleShanghai

Identifiers

PMID33513964
PMCPMC7908429

What OpenQuestion holds

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Registered trials

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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.