Fang, Kailun and Azizan, Suzana Ariff and Huang, Huiming (2024) GIS-based intelligent planning approach of child-friendly pedestrian pathway to promote a child-friendly city. Scientific Reports, 14 (1). p. 8139. ISSN 2045-2322, DOI https://doi.org/10.1038/s41598-024-58712-5.
Full text not available from this repository.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.
Item Type: | Article |
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Funders: | UNSPECIFIED |
Uncontrolled Keywords: | Child-friendly pedestrian pathway; Geographic information systems (GIS); Sustainable development; Smart city; Child-friendly city; Intelligent planning |
Subjects: | Q Science > Q Science (General) |
Divisions: | Faculty of Science > Department of Science and Technology Studies |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 08 Oct 2024 08:46 |
Last Modified: | 08 Oct 2024 08:46 |
URI: | http://eprints.um.edu.my/id/eprint/45325 |
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