用最佳-最差法和多项logit模型进行模态拆分分析

IF 0.5 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY

Transport Problems Pub Date : 2023-03-01 DOI:10.20858/tp.2023.18.1.05

M. Cingel, M. Drličiak, J. Čelko, Katarína Zábovská

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引用次数: 1

摘要

人口的行为特征在运输模型中通过不同程度的领土分解和在领土上创建需求阶层来解决。对输入数据的需求随着对领土的详细分区系统的需求呈指数级增长。基本来源是流动性调查。本文比较了经典多项式logit模型和最佳-最差法计算出行方式选择概率的问题。我们使用Žilina地区流动性调查的数据作为基本样本。分析涵盖了11个地区及其重力区。在分析中详细地评价了各个运输关系。结果表明，最佳-最差方法在区域尺度上的模式选择计算具有较高的准确性。尽管在与流动性调查的对抗中取得了令人满意的结果，但仍有必要用更详细的按需分层区域验证模型数据。

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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MODAL SPLIT ANALYSIS BY BEST-WORST METHOD AND MULTINOMINAL LOGIT MODEL

The behavioral features of the population are addressed in transport models by different levels of territorial disaggregation and the creation of demand strata in a territory. The need for input data grows exponentially with the demand for a detailed zonal system of the territory. The basic source is the mobility survey. This article deals with the comparison of the calculation of the probability of choosing a transport mode for trips using the classic multinominal logit model and the best-worst method. We used data from a mobility survey in the Žilina region as a basic sample. The analysis covered 11 districts and their gravity areas. The individual transport relations are evaluated in detail in the analysis. The results confirm the high degree of accuracy of the best-worst method in the calculation of mode choice on a regional scale. Despite the promising results of the agreement in the confrontation with the mobility survey, it is necessary to verify the modeled data with a more detailed area with disaggregation on-demand strata.

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来源期刊

Transport Problems TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

1.90

自引率

14.30%

发文量

审稿时长

48 weeks

期刊介绍： Journal Transport Problems is a peer-reviewed open-access scientific journal, owned by Silesian University of Technology and has more than 10 years of experience. The editorial staff includes mainly employees of the Faculty of Transport. Editorial Board performs the functions of current work related to the publication of the next issues of the journal. The International Programming Council coordinates the long-term editorial policy the journal. The Council consists of leading scientists of the world, who deal with the problems of transport. This Journal is a source of information and research results in the transportation and communications science: transport research, transport technology, transport economics, transport logistics, transport law.