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Cluster Coordination between High-speed Rail Transportation Hub Construction and Regional Economy Based on Big Data

机译:基于大数据的高速铁路运输枢纽建设与区域经济的集群协调

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As people’s lives get better and better, more and more people choose to travel and with that comes the demand for more transportation. For now, traditional transportation hubs can temporarily meet people’s travel needs. If driven by big data concepts and methods, the various capabilities of high-speed rail transportation hubs will be sublimated, and the regional economy will be in line with the prosperity of this place. Proportionally, railway hubs are extremely attractive to the rapid growth of the regional economy. This paper takes the high-speed railway hub construction model under big data as the research object and verifies the reliability of the research model and the development of economic regions based on the high-speed railway data in recent years as reference parameters. This article selects the panel data of railway transportation and regional economy in China’s provinces for 10 consecutive years from 2011 to 2020. Among them, seven indicators were selected for railway transportation: passenger volume, freight volume, passenger turnover, cargo turnover, number of railway employees, railway transportation industry fixed asset investment and construction scale, and per capita railway network density. In terms of regional economy, six indicators were selected: regional GDP, per capita GDP, per capita investment in fixed assets, per capita total retail sales of consumer goods, per capita investment in imports and exports, and the proportion of the added value of the tertiary industry in GDP. The experimental results prove that each sample is tested in pairs, the standard error level of the mean is 0.002, which is less than 0.05, and high-speed railway construction can finally achieve economic integration. By improving the development of high-speed railways, continuously shortening the distance between time and space, breaking regional trade barriers, and reducing the cost of commodity circulation, industrial interaction and coordinated development between different regions can be effectively promoted.
机译:随着人们的生活变得更好,更好,越来越多的人选择旅行,这是对更多交通的需求。目前,传统交通中心可以暂时满足人们的旅行需求。如果由大数据概念和方法驱动,高速铁路运输中心的各种能力将被升华,区域经济将符合这个地方的繁荣。成比例地,铁路中心对区域经济的快速增长极具吸引力。本文以大数据为研究对象的高速铁路集线器施工模型,并根据参考参数,验证了基于高速铁路数据的研究模式的可靠性和经济地区的发展。本文从2011年到2020年将中国省市铁路运输和地区经济的面板数据选择在2011年至2020年。其中,选择了七个指标用于铁路运输:客运量,货运量,旅客营业额,货运营业额,铁路数量员工,铁路运输行业固定资产投资和建设规模,以及人均铁路网络密度。在区域经济方面,选择了六个指标:区域GDP,人均GDP,人均固定资产投资,人均消费品总零售销售,人均进出口投资以及增加价值的比例GDP中的第三产业。实验结果证明每个样品成对测试,平均值的标准误差水平为0.002,小于0.05,最高速铁路建设最终可以实现经济一体化。通过提高高速铁路的发展,不断缩短时间和空间之间的距离,破坏区域贸易壁垒,降低商品循环成本,不同地区之间的商品互动和协调发展。

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