A robust and scientific selection of appropriate Travel Demand Management (TDM) measures is likely to ensure that the purpose of their implementation is met. The existing methods of TDM measure selection do not often adopt a multi-dimensional approach in their decision-making process. Besides, there is minimal scholarly work on the selection of a ‘push plus pull’ integrated TDM package, even though it has been emphasized in the published literature. These gaps are addressed in our study, which adopts a novel approach of a Multi-Criteria Decision Making (MCDM) methodology. A combination of ‘Decision Making Trial and Evaluation Laboratory’ (DEMATEL) and ‘Analytical Network Process‘(ANP), along with the VIKOR, which is a ranking method used to select a suitable TDM package, a priori. The demonstration of the proposed methodology is presented for the case study area of Ahmedabad’s old city, which is located in the western state of Gujarat in India. A total of six TDM packages were initially shortlisted as probable contenders for the study area, each package consisting of one coercive (push) and one attracting (pull) measure. The MCDM tool ‘VIKOR’ was used to derive the ranking of these packages based on their performance in seven different criteria. The DEMATEL based ANP method was used to determine the weights of these criteria by comparing the influence of criteria over each other. The uncertainty and subjectivity involved in the entire process was taken into account by employing fuzzy logic into our proposed methodology. The research contribution of the study is a methodological framework that can assist policymakers in the a priori selection of a TDM package. The outputs from the study are twofold—(a) the Influence Network Relationship Map (INRM) and (b) the ranking of the TDM packages for the case study area. The INRM explains the relations between dimensions as well as between criteria within each dimension. Additionally, it classifies the dimension and criteria into cause and effect groups, which can help policymakers in developing a better understanding of the TDM implementation process. In our case study, the TDM package of congestion pricing and public bike sharing was the top ranked package. The most influential dimension was political feasibility, followed by private participation and public acceptability. In addition, effectiveness, investment attractiveness, and system resistance were the most influencing criteria within their respective dimensions.

对适当的旅行需求管理（TDM）措施进行有力且科学的选择可能会确保达到其实施目的。TDM度量选择的现有方法在其决策过程中通常不采用多维方法。此外，即使已发表的文献中强调了“推加拉”集成TDM封装的选择，也很少进行学术研究。这些差距在我们的研究中得到了解决，该研究采用了一种多标准决策（MCDM）方法的新颖方法。先决条件是“决策试验和评估实验室”（DEMATEL）和“分析网络过程”（ANP）以及VIKOR的组合，VIKOR是一种先验方法，用于选择合适的TDM软件包。在印度西部古吉拉特邦的艾哈迈达巴德旧城区的案例研究区中，提出了拟议方法的论证。最初共有6个TDM软件包入围，可能是研究区域的竞争者，每个软件包由一种强制（推）措施和一种吸引（拉）措施组成。MCDM工具“ VIKOR”用于根据这些软件包在七种不同标准下的性能得出这些软件包的排名。通过基于标准的相互影响，使用基于DEMATEL的ANP方法确定这些标准的权重。通过在我们提出的方法中采用模糊逻辑，考虑了整个过程中的不确定性和主观性。该研究的研究贡献是一种方法框架，可以帮助政策制定者优先选择TDM方案。该研究的输出是双重的-（a）影响网络关系图（INRM）和（b）案例研究区域的TDM软件包的排名。INRM解释了维度之间以及每个维度内的标准之间的关系。此外，它还将维度和标准分为因果组，这可以帮助决策者更好地理解TDM实施过程。在我们的案例研究中，拥堵收费和公共自行车共享的TDM套餐是排名最高的套餐。最有影响力的方面是政治可行性，其次是私人参与和公众接受度。此外，有效性