Landscape Compositions and Behaviors in Urban Parks: Evidence from Social Media

Abstract

Since entering the Web2.0 era, human social interaction behaviors and information exchange modes have become more diverse and efficient with the advancement of Internet technology. Social media users act as receivers and providers of information at the same time, sharing images, videos, audio, geographic locations and other diverse information, forming a huge amount of data for observation and analysis. This research uses social media data to explore how the park space elements affect user behaviors. In this study, social media user's postings including textual and photo data were collected and analyzed. Finally, 7106 photos and 997 textual postings were collected for two urban parks in Chiayi City, Taiwan, and qualitative analysis methods were used to mine the relationships between the composition of urban parks and the public's visitation behavior. We found that, first, "playground" is the most used space reported by social media users; second, the ability to hold large-scale events and provide playground and family activity spaces were visitation drivers valued by users; third, "to improve the mood" is the main purpose of attracting users to visit the park; fourth, the main reasons of users to visit the parks are for children's activities; fifth, users have more positive emotions than negative emotions in the parks; sixth, based on the real-time use of social media and information sharing, the posted data can provide timely suggestions to help park management and design.



Author Information
Kaowen Chang, National Chiayi University, Taiwan
Wenxin Huang, National Chiayi University, Taiwan

Paper Information
Conference: ACSS2021
Stream: Cognitive and Behavioral Sciences

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Posted by amp21