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Innovative Approaches to Assessing Urban Space Quality: A Multi-Source Big Data Perspective on Knowledge Dynamics

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成果类型:
期刊论文
作者:
Liu, Bing;Liu, Zixuan;Fang, Libo
通讯作者:
Liu, B
作者机构:
[Liu, Bing; Liu, B] Hunan Agr Univ, Coll Publ Adm & Law, Changsha, Peoples R China.
[Liu, Bing; Liu, B] Changsha Commerce & Tourism Coll, Changsha, Peoples R China.
[Liu, Zixuan] Jishou Univ, Jishou, Peoples R China.
[Fang, Libo] Hunan Urban Planning & Design Inst, Changsha, Peoples R China.
通讯机构:
[Liu, B ] H
Hunan Agr Univ, Coll Publ Adm & Law, Changsha, Peoples R China.
Changsha Commerce & Tourism Coll, Changsha, Peoples R China.
语种:
英文
关键词:
Technological integration;Space quality evaluation;Psychological perception;Deep learning applications;Visual perception assessment;Urban planning;Resident-centric;Data-driven;Resilient cities
期刊:
Journal of the Knowledge Economy
ISSN:
1868-7865
年:
2024
页码:
1-39
基金类别:
This research was funded by General subject from the Social Science Achievements Evaluation Committee of Hunan Province in 2024 (Research on Equalization and Optimized Path of the Basic Old-age Service from the Spatial Perspective: XSP24YBC115).
机构署名:
本校为第一且通讯机构
院系归属:
公共管理与法学学院
摘要:
In the context of urban development, this research paper delves into the intricate relationship between urban space quality perception and the psychological well-being of residents. Urban spaces are dynamic and possess characteristics that significantly influence individuals’ psychological states. This study focuses on the specific niche of understanding the influence of spatial environment quality on residents’ psychological perception from a spatial perspective, challenging conventional assumptions and aligning with evolving trends in urban...

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