Evidence map›Paper›PMID 38584168›Full record

ArticleScientific reports2024

GIS-based intelligent planning approach of child-friendly pedestrian pathway to promote a child-friendly city.

Kailun Fang, Suzana Ariff Azizan, Huiming Huang

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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.

Kailun FangGuangzhou Urban Planning and Design Co., Ltd., Guangzhou, 510030, China.
Suzana Ariff AzizanDepartment of Science and Technology Studies, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia. suzana_ariff@um.edu.my.
Huiming HuangGuangzhou Urban Planning and Design Co., Ltd., Guangzhou, 510030, China. huanghuiming@gzupdc.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pedestrian safety, particularly for children, relies on well-designed pathways. Child-friendly pathways play a crucial role in safeguarding young pedestrians. Shared spaces accommodating both vehicles and walkers can bring benefits to pedestrians. However, active children playing near these pathways are prone to accidents. This research aims to develop an efficient method for planning child-friendly pedestrian pathways, taking into account community development and the specific needs of children. A mixed-methods approach was employed, utilizing the Datang community in Guangzhou, China, as a case study. This approach combined drawing techniques with GIS data analysis. Drawing methods were utilized to identify points of interest for children aged 2-6. The qualitative and quantitative fuzzy analytic hierarchy process assessed factors influencing pathway planning, assigning appropriate weights. The weighted superposition analysis method constructed a comprehensive cost grid, considering various community elements. To streamline the planning process, a GIS tool was developed based on the identified factors, resulting in a practical, child-friendly pedestrian pathway network. Results indicate that this method efficiently creates child-friendly pathways, ensuring optimal connectivity within the planned road network.

Indexed as

Geographic Information SystemsPedestriansAccidents, TrafficHumansRisk FactorsSafetyWalkingChild-friendly cityChild-friendly pedestrian pathwayGeographic information systems (GIS)Intelligent planningSmart citySustainable development

Identifiers

PMID38584168
PMCPMC10999421

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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.