信息工程与人工智能学院知识库

在我国航空网络快速发展的背景下，如何承接航空网络的影响，促进节点 城市的发展，刺激地方经济增长已成为学术界和当地政府关注的热点问题，然 而，现有研究仍存在一定弊端，如研究视角单一、忽略各影响因素内部之间关 系、忽略航空网络的相关特征等问题。从系统性，动态把握航空网络对节点城 市经济的影响，可全面、准确的帮助地方政府制定合适的政策和措施，发挥航 空网络的优势，促进城市培育新的经济增长点。因此，系统探究航空网络演化 对节点城市经济的影响，把握各影响要素之间的关系，具有重要的理论意义和 实践价值。基于此，本研究运用文献分析法、复杂网络分析法、系统动力学等 方法对航空网络演化影响节点城市经济的机理展开研究： （1）构建我国近十年航空网络模型，对航空网络的演化特征进行分析。基 于复杂网络理论，构建2010-2019年航空网络模型，从网络结构指标和网络节点 指标分析航空网络的演化特征。分析表明：我国航空网络符合小世界网络特征， 航空网络规模不断扩大，航线结构不断优化；航空网络整体结构逐渐向钻石型 演化；各节点城市间的航空联系日益紧密；东部领先、西部崛起和中部相对滞 后的区域格局基本形成。 （2）探索航空网络对节点城市经济的影响要素及关系，构建航空网络演化 对节点城市经济影响的系统动力学模型。本研究认为节点城市经济系统是一个 复杂的宏观经济系统，其发展受多方面要素的影响。首先，明确建模目的并对 模型做出假设；其次，利用文献研究法确定系统边界和细化航空网络对节点城 市经济的影响，分析各影响要素之间的关系绘制成因果关系图；最后，在因果 分析图的基础上引入相关方程和参数，细化成系统动力学流图。 （3）动态仿真航空网络演化对节点城市经济的影响。以兰州市为具体案例， 收集相关数据对模型方程和参数进行设定，验证模型的有效性，量化分析航空 网络演化对节点城市经济的影响。研究发现：本研究所建模型是有效的；航空 网络扩张影响节点城市经济发展，但短期内影响不明显；航空网络演化对航空 旅客运输量的影响较大，对常住人口以及区域生产总值的影响相对较弱。

In the context of the rapid development of China's aviation network, how to undertake the impact of the aviation network, promote the development of node cities and stimulate local economic growth has become a hot issue of concern for academics and local governments. However, there are still certain drawbacks in the existing research, such as single perspective of research, ignoring the relationship between the internal factors of each influence, ignoring the relevant characteristics of aviation network, etc. From the systemic, dynamic grasp of the impact of aviation network on node cities can comprehensively and accurately help local governments to formulate appropriate policies and measures to give full play to the advantages of aviation network and promote the sustainable development of cities, so systematically explore the aviation network. Therefore, it is of great significance and practical value to investigate systematically the influence of aviation network evolution on the economy of nodal cities and to grasp the relationship between the influencing elements. Based on this, this study uses literature analysis, complex network analysis, and system dynamics to investigate the mechanism of aviation network affecting the economy of nodal cities. (1) Construct the aviation network model of China in the past ten years and analyze the evolution characteristics of aviation network. Based on complex network theory, the aviation network model is constructed from 2010-2019, and the evolution characteristics of aviation network are analyzed from network structure indicators and node indicators. The analysis shows that: China's aviation network is in line with the characteristics of a small world network, with the scale of the aviation network expanding and the route structure being optimized; the overall structure of the aviation network is gradually evolving towards a diamond type; the aviation connection among node cities is getting closer; the regional pattern of leading in the east, rising in the west and relatively lagging in the center is basically formed. (2) To explore the elements and relationships of the influence of aviation network on the economy of nodal cities and to construct a system dynamics model of the influence of aviation network evolution on the economy of nodal cities. This study considers the nodal city economic system as a complex macroeconomic system, whose development is influenced by various elements. Firstly, the modeling purpose is clarified and assumptions are made on the model; secondly, the literature research method is used to determine the system boundary and refine the influence of aviation network on the economy of node cities, and the relationship between the influencing elements is analyzed and drawn into a cause-effect diagram; finally, the relevant equations and parameters are introduced on the basis of the cause-effect analysis diagram and refined into a system dynamics flow diagram.(3) Dynamic simulation of the impact of aviation network evolution on the economy of node cities. Taking Lanzhou city as a specific case, we collect relevant data to set the model equations and parameters, verify the validity of the model, and quantitatively analyze the impact of airline network evolution on the economy of node cities. It is found that: the model proposed in this study is effective; the expansion of aviation network affects the economic development of node cities, but the impact is not obvious in the short term; the impact of aviation network evolution on air passenger traffic is large, and the impact on resident population as well as regional gross product is relatively weak.