Decoding air passenger flows: Identifying the role of network autocorrelation in air travel
文献类型：期刊论文
| 作者 | Zhang, Lu1,3; Gong, Jiaying2 |
| 刊名 | JOURNAL OF AIR TRANSPORT MANAGEMENT
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 120页码:102658 |
| 关键词 | Eigenvector spatial filtering Network autocorrelation Air transportation Negative binomial regression models Eurasian landmass |
| DOI | 10.1016/j.jairtraman.2024.102658 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | With the rapid expansion of the global aviation industry, especially in the Eurasian continent, understanding the factors driving interregional air passenger flow is of increasing importance. While most existing studies emphasize node-level and edge-level influencing factors such as economic scale, population size, and geographic distance, they often neglect the pivotal variable of network autocorrelation. This research is the first to introduce network autocorrelation within the Eurasian context and systematically analyze it using the Eigenvector Spatial Filtering Negative Binomial Gravity Model. Our findings highlight: (1) A significant network autocorrelation in the Eurasian continental aviation network. The eigenvector spatial filtering negative binomial regression model effectively captures this autocorrelation, considerably reducing model estimation bias. Specifically, the leading 3.28% of eigenvectors capture a high degree of this network autocorrelation. (2) The presence of network autocorrelation introduces estimation biases in related variables, resulting in underestimations of economic size, population size, visa restriction, and international trade, while overestimating cultural and institutional differences, geographical distance, colonial relationship. (3) Various factors affect the Eurasian continental sub-region's air passenger flows differently, indicating regional variations. This study takes a step towards improving our understanding of network autocorrelation in air passenger flows research. |
| WOS关键词 | GRAVITY MODEL ; INTERNATIONAL TOURISM ; SPATIAL AUTOCORRELATION ; INSTITUTIONAL DISTANCE ; CULTURAL DISTANCE ; TRANSPORT NETWORK ; DETERMINANTS ; DEMAND ; TRADE ; MIGRATION |
| WOS研究方向 | Transportation |
| WOS记录号 | WOS:001281906000001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206899]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Lu |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Beijing, Peoples R China 2.Beijing Technol & Business Univ, Sch Econ, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Lu,Gong, Jiaying. Decoding air passenger flows: Identifying the role of network autocorrelation in air travel[J]. JOURNAL OF AIR TRANSPORT MANAGEMENT,2024,120:102658. |
| APA | Zhang, Lu,&Gong, Jiaying.(2024).Decoding air passenger flows: Identifying the role of network autocorrelation in air travel.JOURNAL OF AIR TRANSPORT MANAGEMENT,120,102658. |
| MLA | Zhang, Lu,et al."Decoding air passenger flows: Identifying the role of network autocorrelation in air travel".JOURNAL OF AIR TRANSPORT MANAGEMENT 120(2024):102658. |
入库方式： OAI收割
来源：地理科学与资源研究所
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