英语翻译我国高速铁路建设正进入高峰期.高速铁路的客运需求是有现实基础的,人口多的国情,经济的不断发展,富裕人群的扩大,城

英语翻译
我国高速铁路建设正进入高峰期.高速铁路的客运需求是有现实基础的,人口多的国情,经济的不断发展,富裕人群的扩大,城市化进程的继续等是刺激高速铁路客运需求的重要因素.为了更好地了解运输市场的需求波动情况,结合既有的运能,制定更合理的运输组织方案及营销策略,更好满足旅客的运输需求,就需要对高速铁路客运量需求进行调查与预测.
本文在分析影响高速铁路客运量需求的直接因素与间接因素的基础上,建立基于灰色关联度分析的回归预测模型,即利用灰色关联度分析,求出各影响因素与客运需求之间的关联度,进而得出影响高速铁路客运需求的主要因素,建立以各主要因素为自变量,以客运需求为因变量的多元回归方程,并利用Excel数据分析工具对方程参数进行求解.并以大连北站为应用实例,建立出能够预测大连北站未来客运量需求的回归预测模型,为改善运输组织和提高服务质量提供了依据.
sbito 1年前 已收到1个回答 举报

雁抚椰韵 幼苗

共回答了22个问题采纳率:86.4% 举报

High speed railway construction in China is entering the peak period.High speed railway passenger demand is a basis in reality,the population of the nation,the development of economy,affluent population expansion,city development are the important factors to stimulate passenger demand for high-speed railway.In order to better understand the demand fluctuation of shipping market,combined with the existing capacity,making transportation organization scheme more reasonable and marketing strategy,better meet the passenger transportation demand,on the need for investigation and forecast of high speed railwaypassenger demand.
Based on the analysis of the influence factors of direct high-speed railway passenger demand and indirect factors,establish the regression forecasting model based on grey relational analysis,namely the use of gray correlation analysis,the correlation between influential factors and passenger transport demand,then get the main influence factors on passenger demand for high-speed railway,to establish the main factors,because of the multi variable regression equation to passenger demand,the equation was solved by using the parameters of the Excel data analysis tool.Taking Dalian station as an example,establishes a regression to predict the future of Dalian Station passenger trafficdemand forecasting model,provides the basis for the improvement of the transportation organization and improve the quality of service.

1年前

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