Multi-purpose utility tunnels (MUTs) integrate all underground utilities in one accessible tunnel. MUTs reduce the need for excavations and their associated costs, as well as the resulting traffic congestion. Several MUTs have been implemented in different parts of the world. Their locations have either been politically influenced or selected to preserve heritage sites or to meet the conditions of a newly developed city. Nevertheless, selecting the location in an existing city under street segments is affected by several criteria that have different spatial characteristics. Combining these characteristics and managing the trade-offs that exist between them determine the ranking of alternative MUT locations. The use of subjective and objective weights in the decision-making process will offer different perspectives from the decision-maker's perspective and the data itself, respectively. This paper aims to analyze spatial data as an input in the multi-criteria decision-making (MCDM) process of the MUT location selection. The objectives are: (1) defining the criteria that influence the MUT location selection, (2) defining the required GIS datasets for quantifying the criteria as scores for each candidate street segment, (3) analyzing the impacts of the dependencies between the criteria by comparing the ranking results of two MCDM methods (i.e., Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP)) combined with the Technique for Order Preference by the Similarity to Ideal Solution (TOPSIS), (4) analyzing the difference between using subjective weights or objective weights, and (5) developing a prototype system to integrate the MCDM methods in a GIS platform. A vector-based spatial analysis is conducted to identify the suitable locations for MUT construction based on 12 criteria representing physical condition information or affecting social costs. Two subjective MCDM methods (i.e., AHP and ANP) are used to generate each criterion's weights, and the ranking of alternatives is determined using TOPSIS. Another set of weights representing the objective weights are calculated for each criterion using the Shannon Entropy method. These weights are combined with TOPSIS to obtain an objective ranking of the alternatives. Based on the results from the different combinations (AHP + TOPSIS, ANP + TOPSIS, and ENTROPY + TOPSIS), the top alternative is always the same.

多用途多用途隧道 (MUT) 将所有地下公用设施整合到一个可进入的隧道中。MUT 减少了挖掘需求及其相关成本，以及由此产生的交通拥堵。世界不同地区已经实施了几个 MUT。他们的位置要么受到政治影响，要么被选中以保护遗产地或满足新开发城市的条件。然而，在现有城市的街道段下选择位置受到具有不同空间特征的几个标准的影响。结合这些特征并管理它们之间存在的权衡，可以确定替代 MUT 位置的排名。在决策过程中使用主观和客观权重将提供来自决策者的不同视角 分别是视角和数据本身。本文旨在分析作为 MUT 位置选择的多标准决策 (MCDM) 过程中的输入的空间数据。目标是：(1) 定义影响 MUT 位置选择的标准，(2) 定义将标准量化为每个候选街道段的分数所需的 GIS 数据集，(3) 分析标准之间依赖关系的影响，比较两种 MCDM 方法（即层次分析法（AHP）和网络分析法（ANP））结合理想解相似性排序技术（TOPSIS）的排序结果，（4）分析使用主观权重或客观权重，以及 (5) 开发原型系统以将 MCDM 方法集成到 GIS 平台中。进行基于矢量的空间分析，以根据代表物理条件信息或影响社会成本的 12 个标准确定适合 MUT 建设的位置。两种主观的 MCDM 方法（即 AHP 和 ANP）用于生成每个标准的权重，并使用 TOPSIS 确定备选方案的排名。使用香农熵方法为每个标准计算另一组代表客观权重的权重。这些权重与 TOPSIS 相结合，以获得备选方案的客观排名。根据不同组合（AHP + TOPSIS、ANP + TOPSIS 和 ENTROPY + TOPSIS）的结果，top 替代方案始终相同。