Adequacy of the Gravity Model of Railway Passenger Flows

A. Martynenko, D. Saifutdinov
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引用次数: 0

Abstract

The most accurate modelling of spatial distribution of passenger flows is a prerequisite for successful planning of development of the transport system. It is the basis for calculation of a predictive trip matrix. An approach based on the gravity model is among main modelling methods.The work investigates the issue of the adequacy of the gravity model with a double constraint and an exponential-power function of gravitation. It is this specification of the model and its particular cases with exponential and power functions of gravitation that are most often used to estimate spatial distribution of passenger flows both in theoretical and applied research.Calibration and validation of the specified model is shown on the observed (actual) matrix of railway passenger origin­destination matrix. It was built with the help of the data of Express [railway ticketing] ADB ACS: the number of tickets sold for long-distance trains for all the pairs of directly linked stations.Since calibration of the gravity model can be carried out by different methods (depending on how the model incorporates stochasticity, which is responsible for differences between the modelled and observed data), after a detailed analysis of the most common methods for calibrating the gravity model, the approach was chosen based on the maximum likelihood estimation. The work also analyses the gravity model validation tools used to estimate the proximity between the observed and modelled trip matrices.Comparison of the modelled and observed trip matrices resulted in the conclusion that the gravity model under consideration predicts several aggregate indicators with a high degree of accuracy: total passenger turnover, average travel distance, and travel distance distribution. At the same time, it is shown that the error in the forecast of passenger flow for most individual origin-destination trips is quite large. This circumstance significantly reduces the possibility of practical application of the gravity model or the analysis and modelling of passenger flows in long-distance railway passenger traffic.
铁路客流重力模型的充分性
最准确的客流空间分布模型是成功规划交通系统发展的先决条件。它是预测行程矩阵计算的基础。基于重力模型的方法是主要的建模方法之一。本文研究了具有双约束和指数幂函数的重力模型的充分性问题。在理论和应用研究中,最常用于估计客流空间分布的是模型的这种说明及其具有引力指数函数和幂函数的特殊情况。在铁路旅客始发矩阵的观测(实际)矩阵上显示了指定模型的校准和验证。它是在Express(铁路票务)ADB ACS数据的帮助下建立的:所有对直接相连的车站的长途列车售票数量。由于重力模型的校准可以通过不同的方法进行(取决于模型如何纳入随机性,这是造成建模数据和观测数据之间差异的原因),在详细分析了最常用的校准重力模型的方法后,选择了基于最大似然估计的方法。这项工作还分析了重力模型验证工具,用于估计观测到的和模拟的行程矩阵之间的接近度。将建模的行程矩阵与观测的行程矩阵进行比较,得出的结论是,所考虑的重力模型能够以较高的精度预测几个综合指标:总旅客周转率、平均行程距离和行程距离分布。与此同时,研究结果表明,对于大多数出发地至目的地的个人行程,客流预测误差较大。这种情况大大降低了重力模型在铁路长途客运中实际应用或客流分析与建模的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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