Machine Learning Modeling of Vitality Characteristics in Historical Preservation Zones with Multi-Source Data

Machine Learning Modeling of Vitality Characteristics in Historical Preservation Zones with Multi-Source Data

Research on historic preservation zones (HPZs) has recently attracted increasing attention from academia and industry. With eight Beijing typical HPZs selected, this study evaluates critical vitality characteristics and identifies the key influencing factors via multi-source data and machine learnin...

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Bibliographic Details
Main Authors: Xiaoran Huang, Pixin Gong, Siyan Wang, Marcus White, Bo Zhang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Buildings
Subjects:
historical preservation zones (HPZs)
vitality characteristics
multiple-source data
machine learning
natural language processing (NLP)
computer vision (CV)
Online Access:https://www.mdpi.com/2075-5309/12/11/1978

Internet

https://www.mdpi.com/2075-5309/12/11/1978

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