A Semantic Analysis Method of Public Public Built Environment and Its Landscape Based on Big Data Technology: Kimbell Art Museum as Example

Autor: Zhongzhong Zeng, Meizhu Wang, Dingyi Liu, Xuan Yu, Bo Zhang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Land, Vol 13, Iss 5, p 655 (2024)
Druh dokumentu: article
ISSN: 2073-445X
DOI: 10.3390/land13050655
Popis: Based on big data, a new public space evaluation method is proposed. Using programming technology to collect visitor reviews from the travel website TripAdvisor to build a database, based on the data of 99,240 words in 1573 visitor reviews in 10 years, the connection between data and reality is established through systematic data classification and visualization. Following an assessment of the Kimbell Art Museum’s functionality, architectural design, and landscape design, along with visitor feedback, a new evaluation methodology was formulated for application to public buildings with landscapes. By utilizing the unique advantages of big data, it provides convenient and efficient analysis methods for public spaces with similar data foundations and opens the way for the optimization of the built environment in the information age.
Databáze: Directory of Open Access Journals