Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow
文献类型：期刊论文
| 作者 | Wang, Xiaoxiao2,3,4; Zhang, Haiping1; Li, Zitong2,3,4; Yang, Xin2,3,4; Qian, Ziyi2,3,4; Bian, Duo2,3,4; Zhao, Yongxin2,3,4 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2025 |
| 卷号 | 14期号:1页码:22 |
| 关键词 | city influence city association spatial structure social sensing attention flow |
| DOI | 10.3390/ijgi14010024 |
| 通讯作者 | Yang, Xin(xxinyang@njnu.edu.cn) |
| 英文摘要 | City influence is a critical topic in regional studies, reflecting how cities draw attention and exert impact in various domains. Understanding city influence is essential for fostering sustainable urban growth. However, existing studies have failed to fully explore the characteristics of city influence reflected by collective behaviors from a bottom-up perspective. This study investigates how individual search behaviors mirror the attention cities attract, providing insights into their perceived influence. An "attention flow" model is developed to differentiate between cities that draw significant interest and those that show a strong preference for these influential hubs. This research focuses on cities in China, analyzing the spatial patterns and factors that affect city influence using spatial statistical methods. The results show that 69% of the cities that exhibit a strong preference are geographically closer to the more influential cities, emphasizing the role of geographical proximity in shaping urban influence in the digital age. Additionally, the study reveals patterns of power dislocation, partnership, and siphoning between cities. A consistent relationship is identified between influential cities and their more connected cities, particularly where administrative hubs tend to attract nearby cities focused on science and education. This research deepens our understanding of how city influence is shaped by digital behaviors and spatial relationships, providing insights for policymakers to foster balanced regional development and enhance inter-city cooperation. |
| WOS关键词 | INTERNET SEARCH ; CITIES ; MODEL ; COMPETITIVENESS ; HIERARCHY ; FRAMEWORK |
| 资助项目 | National Natural Science Foundation of China ; [41930102] |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001404467800001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/212911]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Xin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 3.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Peoples R China 4.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Xiaoxiao,Zhang, Haiping,Li, Zitong,et al. Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2025,14(1):22. |
| APA | Wang, Xiaoxiao.,Zhang, Haiping.,Li, Zitong.,Yang, Xin.,Qian, Ziyi.,...&Zhao, Yongxin.(2025).Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,14(1),22. |
| MLA | Wang, Xiaoxiao,et al."Revealing the City Influence and Its Pattern Using Web Search Data: A New Perspective Through Attention Flow".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 14.1(2025):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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