Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs

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Bibliographische Detailangaben
Veröffentlicht in:	Algorithms vol. 18, no. 3 (2025), p. 174
1. Verfasser:	Liu, Binglin
Weitere Verfasser:	Zeng, Weijia, Liu, Weijiang, Peng, Yi, Yao, Nini
Veröffentlicht:	MDPI AG
Schlagworte:	China Vacancies Feature extraction Accuracy Data processing Urban planning Data mining Spatiotemporal data Data sources Questionnaires Remote sensing Housing Data integration Machine learning Economic factors Urban development Heterogeneity Efficiency Redundancy Big Data Data integrity Supply & demand Spatial data Artificial intelligence Prediction models Developers Decision making Response rates Algorithms Sustainable development Methods Geographic information systems Complexity Deep learning Ensemble learning Urbanization Cities Residential buildings
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