A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China
Understanding the intricate relationships between the urban built environment, public activity, and public perception is vital for effective urban planning strategies and social sustainability. This study develops a multi-modal data analysis framework, incorporating social media data, topic modeling...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25000470 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576502009430016 |
|---|---|
| author | Chuyi Guo Yuchi Yang |
| author_facet | Chuyi Guo Yuchi Yang |
| author_sort | Chuyi Guo |
| collection | DOAJ |
| description | Understanding the intricate relationships between the urban built environment, public activity, and public perception is vital for effective urban planning strategies and social sustainability. This study develops a multi-modal data analysis framework, incorporating social media data, topic modeling, and spatial statistical techniques. Using Xi’an, China, as a typical case, it examines how public activities change over time and space, how they interact with urban spaces, as well as how different aspects of the built environment shape public perception.The main findings are as follows:(1) Public activity varies significantly across day and night, interacting in complex ways with urban spatial elements;(2) Public activity is driven by multiple interconnected factors;(3) The built environment affects public perception unevenly, with certain spatial elements evoking strong emotional resonance and reinforcing cultural identity;(4) A dynamic feedback loop exists between public activity and perception.This research offers novel insights into precision-oriented, human-centered, and sustainable urban development. |
| format | Article |
| id | doaj-art-b7b0f84e0c654ea0b02ce6028fc1ee53 |
| institution | Kabale University |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-b7b0f84e0c654ea0b02ce6028fc1ee532025-01-31T05:10:54ZengElsevierEcological Indicators1470-160X2025-02-01171113118A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, ChinaChuyi Guo0Yuchi Yang1School of Architecture, Southeast University, 2 Sipailou, Nanjing 210096 ChinaSchool of Architecture and Urban Planning, Tongji University, Shanghai 200092 China; University Rural Revitalization Research Center in Guizhou, Anshun 561000 China; Corresponding author.Understanding the intricate relationships between the urban built environment, public activity, and public perception is vital for effective urban planning strategies and social sustainability. This study develops a multi-modal data analysis framework, incorporating social media data, topic modeling, and spatial statistical techniques. Using Xi’an, China, as a typical case, it examines how public activities change over time and space, how they interact with urban spaces, as well as how different aspects of the built environment shape public perception.The main findings are as follows:(1) Public activity varies significantly across day and night, interacting in complex ways with urban spatial elements;(2) Public activity is driven by multiple interconnected factors;(3) The built environment affects public perception unevenly, with certain spatial elements evoking strong emotional resonance and reinforcing cultural identity;(4) A dynamic feedback loop exists between public activity and perception.This research offers novel insights into precision-oriented, human-centered, and sustainable urban development.http://www.sciencedirect.com/science/article/pii/S1470160X25000470Multi-modal social media dataPublic activityPublic perceptionSpatio-temporal heterogeneityXi’an, China |
| spellingShingle | Chuyi Guo Yuchi Yang A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China Ecological Indicators Multi-modal social media data Public activity Public perception Spatio-temporal heterogeneity Xi’an, China |
| title | A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China |
| title_full | A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China |
| title_fullStr | A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China |
| title_full_unstemmed | A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China |
| title_short | A multi-modal social media data analysis framework: Exploring the complex relationships among urban environment, public activity, and public perception—A case study of Xi’an, China |
| title_sort | multi modal social media data analysis framework exploring the complex relationships among urban environment public activity and public perception a case study of xi an china |
| topic | Multi-modal social media data Public activity Public perception Spatio-temporal heterogeneity Xi’an, China |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25000470 |
| work_keys_str_mv | AT chuyiguo amultimodalsocialmediadataanalysisframeworkexploringthecomplexrelationshipsamongurbanenvironmentpublicactivityandpublicperceptionacasestudyofxianchina AT yuchiyang amultimodalsocialmediadataanalysisframeworkexploringthecomplexrelationshipsamongurbanenvironmentpublicactivityandpublicperceptionacasestudyofxianchina AT chuyiguo multimodalsocialmediadataanalysisframeworkexploringthecomplexrelationshipsamongurbanenvironmentpublicactivityandpublicperceptionacasestudyofxianchina AT yuchiyang multimodalsocialmediadataanalysisframeworkexploringthecomplexrelationshipsamongurbanenvironmentpublicactivityandpublicperceptionacasestudyofxianchina |