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As an important part of the modern transportation system, although air transportation seems to have little to do with computational sociology, there is actually a deep potential connection between the two. Computational sociology can provide the air transportation industry with more accurate market forecasts, more optimized route planning, and more efficient operation management models through the analysis and mining of large amounts of data.

For example, using big data analysis technology, computational sociology can accurately predict cargo demand in different regions. This is crucial for air cargo transportation because it can help airlines plan flight schedules in advance and rationally allocate transportation resources, thereby reducing operating costs and improving transportation efficiency. At the same time, through the study of consumer behavior and market trends, computational sociology can also provide air cargo companies with targeted marketing strategies to expand market share.

On the other hand, the development of air transport and cargo transportation also provides a rich source of data and practical scenarios for computational sociology research. With the increasing frequency of global trade and the rapid development of e-commerce, the volume of air cargo continues to grow, generating a huge amount of data. These data cover the types, quantities, directions, transportation time and other aspects of goods, providing valuable material for computational sociology research. Through the analysis and research of these data, computational sociologists can gain a deep understanding of the operating laws of the global economy, the imbalance of regional development and various dynamic changes in international trade.

In addition, technological innovation and management changes in the air transport and cargo industry have also provided new topics for computational sociology research. For example, the application of emerging technologies such as unmanned driving technology and intelligent logistics systems in the field of air transport has not only changed the industry's operating model, but also triggered a series of social problems, such as the adjustment of employment structure and the protection of labor rights. Computational sociologists can provide policymakers with scientific decision-making basis through research on these issues and promote the sustainable development of the air transport and cargo industry.

In conclusion, although the direct research focus of the Joint Laboratory of Computational Sociology of AoZhe and Peking University may not be air transport cargo, the interaction and influence between the two cannot be ignored. In the future development, we look forward to seeing more cross-field cooperation and innovation to contribute to the progress and development of society.