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Dynamic City Profile Based on Evolutionary Analysis |
Ye Guanghui(),Xu Tong |
School of Information Management, Central China Normal University, Wuhan 430079, China |
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Abstract [Objective] This paper reveals the changing of urban characteristics, aiming to describe the evolution of urban profiles.[Methods] We collected tourism data from social media, and used network analysis to exploring the evolution and driving forces of urban profiles.[Results] The tourism functions of scenic places were more multi-polarized, while the community structure of tourism network was more stable. The theme of scenic places posed positive impacts on the dynamic evolution of urban profile while the geographical distance among places of interest left negative impacts.[Limitations] More research is needed to extract extra insights from the collected data.[Conclusions] Our study effectively reveals the dynamic evolution of urban profiles, which benefits the urban planning process.
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Received: 17 February 2020
Published: 17 June 2020
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Corresponding Authors:
Ye Guanghui
E-mail: 4081@163.com
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