This paper endeavors to introduce a new approach to modal split estimation. In the frame of the research, a customized model of the recently created Best-Worst Method (BWM) is applied to evaluate mode choice alternatives by transport experts. The integrated BWM model is tested on a real-world case study in Budapest, the capital of Hungary, where a small number of selected experts estimate the modal split of three different groups clustered based on the distance of their commuting. The results clearly demonstrate the popularity of public transport among all groups, while car is estimated to be used primarily by short- and mid-distance commuters. The coherence of the responses is tested along with sensitivity analysis and rank correlation comparison. Moreover, the final results are compared to the official modal split data of the city. Based on the findings, it can be concluded that the application of BWM results in competitive accuracy compared to the mainstream methodologies, moreover BWM needs significantly less cost and time effort during the survey procedure.

中文翻译：

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使用最佳最差方法估算通勤方式分裂

本文致力于介绍一种新的方法用于模态分裂估计。在研究框架中，运输专家将最近创建的最佳最差方法（BWM）的定制模型应用于评估模式选择方案。集成的BWM模型在匈牙利首都布达佩斯的一个实际案例研究中进行了测试，少数选定的专家根据通勤距离估算了三个不同群体的模式分裂。结果清楚地表明了公共交通工具在所有人群中的流行，而估计汽车主要用于中短途通勤者。测试响应的连贯性以及敏感性分析和等级相关性比较。此外，将最终结果与城市的官方模态分割数据进行了比较。