Evidence map›Paper›PMID 37940988›Full record

ArticleInternational journal of health geographics2023

Effects of greenery at different heights in neighbourhood streetscapes on leisure walking: a cross-sectional study using machine learning of streetscape images in Sendai City, Japan.

Shusuke Sakamoto, Mana Kogure, Tomoya Hanibuchi, Naoki Nakaya, Atsushi Hozawa, Tomoki Nakaya

Abstract read
In one paragraph

Article in International journal of health geographics, 2023. 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

6 authors.

Shusuke SakamotoGraduate School of Environmental Studies, Tohoku University, 468-1 Aoba, Aramaki, Aoba-Ku, Sendai, 980-8572, Japan.
Mana KogureThe Endowed Department of Traffic and Medical Informatics in Disaster, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573, Japan.
Tomoya HanibuchiGraduate School of Letters, Kyoto University, Yoshida Honmachi, Sakyo-Ku, Kyoto, 606-8501, Japan.
Naoki NakayaThe Endowed Department of Traffic and Medical Informatics in Disaster, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573, Japan.
Atsushi HozawaThe Endowed Department of Traffic and Medical Informatics in Disaster, Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8573, Japan.
Tomoki NakayaGraduate School of Environmental Studies, Tohoku University, 468-1 Aoba, Aramaki, Aoba-Ku, Sendai, 980-8572, Japan. tomoki.nakaya.c8@tohoku.ac.jp.

Funding

Japan Agency for Medical Research and Development JP21tm0124005Japan Society for the Promotion of Science 20H00040
6 · The paper itself

Abstract

backgroundIt has been pointed out that eye-level greenery streetscape promotes leisure walking which is known to be a health -positive physical activity. Most previous studies have focused on the total amount of greenery in the eye-level streetscape to investigate its association with walking behaviour. While it is acknowledged that taller trees contribute to greener environments, providing enhanced physical and psychological comfort compared to lawns and shrubs, the examination of streetscape metrics specifically focused on greenery height remains largely unexplored. Therefore, this study examined the relationship between objective indicators of street greenery categorized by height from a pedestrian viewpoint and leisure walking time.

methodsWe created streetscape indices of street greenery using Google Street View Images at 50-m intervals in an urban area in Sendai City, Japan. The indices were classified into four ranges according to the latitude of the virtual hemisphere centred on the viewer. We then investigated their relationship to self-reported leisure walking.

resultsPositive associations were identified between the street greenery in higher positions and leisure walking time, while there was no significant association between the greenery in lower positions.

conclusionThe findings indicated that streets with rich greenery in high positions may promote residents' leisure walking, indicating that greenery in higher positions contributes to thermally comfortable and aesthetic streetscapes, thus promoting leisure walking. Increasing the amount of greenery in higher positions may encourage residents to increase the time spent leisure walking.

Indexed as

Environment DesignWalkingCross-Sectional StudiesHumansJapanLeisure ActivitiesMachine LearningResidence CharacteristicsGoogle Street View (GSV)Leisure walkingShadeStreet greeneryWalking behaviour

Identifiers

PMID37940988
PMCPMC10631008

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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.