Optimizing the Layout of Service Facilities for Older People Based on POI Data and Machine Learning: Guangzhou City as an Example

Population aging is a global issue. China is facing the same challenge, especially in its megacities, with more than 10 million permanent urban residents. These densely populated cities urgently need the scientific planning and optimization of the layout of service facilities for older people. Takin...

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Veröffentlicht in:	Land (Basel) Jg. 13; H. 5; S. 700
Hauptverfasser:	Feng, Huicheng, Tang, Xiaoxiang, Zou, Cheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.05.2024
Schlagworte:	Aged Aging Algorithms Big Data Buildings and facilities Census of Population China Cities City planning decision support systems Decision trees Distribution elderly Geriatrics Guangzhou land layout optimization Layouts Learning algorithms Machine learning Megacities Methods Municipal research Older people Optimization people POI Population density prediction Prediction models Public services Service facilities Services industry Site selection Social aspects Suburban areas Urban planning China Guangzhou China Guangdong China
ISSN:	2073-445X, 2073-445X
Online-Zugang:	Volltext
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