This paper proposes a fuzzy logic mode choice model combined with a Delphi method to extract inference rules, representing the evaluation processes performed by experts. The model covers railway, road, and inland waterway networks and can handle imprecise information about the level of input variables. This fuzziness arises from the attitude and perception of decision-makers and subjective uncertainties. It extends existing models beyond optimisation and includes influential and interrelated input variables. The Rotterdam-Venlo multi-modal freight corridor in the Netherlands is selected as a case study to demonstrate the model's applicability. The model can be used to assist freight forwarders in understanding possible mode choice directions under a certain scenario, support policymakers in testing the effectiveness of designed or implemented policies (e.g. emission reduction), and give insights to infrastructure managers about performance developments by tracing possible effects of planned investments on the mode choice and possible demand shifts.

本文提出了一种结合德尔菲法的模糊逻辑模式选择模型来提取推理规则，代表专家执行的评估过程。该模型涵盖铁路、公路和内河航道网络，可以处理有关输入变量水平的不精确信息。这种模糊性源于决策者的态度和认知以及主观的不确定性。它将现有模型扩展到优化之外，并包括有影响力和相互关联的输入变量。选择荷兰鹿特丹-芬洛多式联运货运走廊作为案例研究来证明模型的适用性。该模型可用于帮助货运代理了解特定场景下可能的模式选择方向，支持政策制定者测试设计或实施的政策（例如减排）的有效性，并通过追踪可能的影响向基础设施管理者提供有关绩效发展的见解模式选择和可能的需求变化的计划投资。