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Trip end models of local rail demand in England and Wales

机译:英格兰和威尔士当地铁路需求的跳闸终点模型

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This paper details models which have been developed to forecast the total number of trips made from local rail stations in England and Wales over a one year period. The use of multiple linear regression and geographically weighted regression in calibration are compared, with both explaining over 75% of the variation in the observed data. The latter technique has not previously been used in rail demand modelling, and allows significant spatial variations in the effect of independent variables to be identified and mapped. A number of catchment definition methods are investigated, as is the inclusion of a wide range of demographic and service related explanatory variables. The models developed are used to forecast usage at stations on the recently opened Ebbw Vale branch line in South Wales and these predictions are compared to initial usage figures.
机译:本文详细介绍了已开发的模型,这些模型可预测一年内英格兰和威尔士当地火车站的出行总数。比较了在校准中使用多元线性回归和地理加权回归的方法,两者均解释了观测数据中超过75%的变化。后一种技术以前尚未在铁路需求建模中使用,并且允许对独立变量的影响进行显着的空间变化以进行识别和映射。研究了许多流域定义方法,包括大量与人口和服务相关的解释变量。所开发的模型用于预测南威尔士最近开放的Ebbw Vale支线的站点的使用情况,并将这些预测与初始使用情况进行比较。

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