Multi-criteria spatial analysis for location selection of multi-purpose utility tunnels

Genger, T.K.; Luo, Yisha; Hammad, Amin

doi:10.1016/j.tust.2021.104073

Cited by 10 publications

(2 citation statements)

References 34 publications

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“…When considering which construction method to use, decision makers should take several factors into consideration, such as location (e.g., urban, rural, new development, etc. ); soil type; buried underground utilities/structures; depth of the tunnel; the impact of construction on adjacent structures; and social cost [34]. After selecting the location, it will be analyzed for determining different data that could affect the construction method such as soil data (e.g., type of soil, cohesion, underground water).…”

Section: Methodsmentioning

confidence: 99%

Stochastic Simulation of Construction Methods for Multi-purpose Utility Tunnels

Jorjam,

Mawlana,

Hammad

2023

Infrastructures

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The traditional method of installing underground utilities (e.g., water, sewer, gas pipes, electrical cables) by burying them under roads has been used for decades. However, the repeated excavations related to this method cause problems, such as traffic congestion and business disruption, which can significantly increase financial and social costs. Multi-purpose Utility Tunnels (MUTs) are a good alternative for buried utilities. Although the initial cost of MUTs is higher than that of the traditional method, social cost savings make them more feasible, especially in dense urban areas. Different factors, such as the specifications of utilities, the location of the MUTs, and the construction method, should be investigated to determine if MUTs can be an economical and practical alternative. The construction method is one of the most important factors to assess to have a successful MUT project and reduce its impact on the surrounding area. Simulation can be used to investigate the different construction methods of MUTs. In this paper, two Stochastic Discrete Event Simulation models depicting two MUT construction methods (i.e., microtunneling and cut-and-cover) are developed to analyze the duration and cost of the MUT projects. Also, 4D simulation models of these methods are developed for constructability assessment of these projects.

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Section: Methodsmentioning

confidence: 99%

Stochastic Simulation of Construction Methods for Multi-purpose Utility Tunnels

Jorjam,

Mawlana,

Hammad

2023

Infrastructures

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“…Compare the ranking results of two MCDM methods (ie, analytic hierarchy process (AHP) and network analysis (ANP)) combined with the ideal solution similarity ranking technology (TOPSIS), and use the Shannon entropy method to calculate the objective weight for each criterion. These weights are combined with TOPSIS to obtain an objective ranking of alternatives [ 49 ].…”

Section: Literature Review and Methodologymentioning

confidence: 99%

A Hybrid Multi-Criteria Decision-Making Approach Based on ANP-Entropy TOPSIS for Building Materials Supplier Selection

Chen¹

2021

Entropy

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This article will tell you how to combine “entropy” in the model to reduce the bias of multi-criteria evaluation. Subjective weights are usually determined by decision makers based on their professional background, experience and knowledge, and other factors. The objective weight is obtained by constructing an evaluation matrix of the information based on the actual information of the evaluation criteria of the scheme, and obtained through multi-step calculations. Different decision-making methods are based on different weight types. Considering only one of the two weights often leads to biased results. In addition, in order to establish an effective supply chain, buyers must find suitable merchants among suppliers that provide quality products and/or services. Based on the above factors, it is difficult to choose a suitable alternative. The main contribution of this paper is to combine analytic network process (ANP), entropy weight and the technique for order preference by similarity to an ideal solution (TOPSIS) to construct a suitable multi-criteria decision (MCDM) model. By means of ANP-entropy weights to extend the TOPSIS method, ANP-entropy weights are used to replace subjective weights. A supplier selection decision-making model based on ANP-entropy TOPSIS is proposed. At last, the sensitivity analysis shows that, taking the selection of building materials suppliers as an example, the hybrid ANP-entropy TOPSIS method can effectively select suitable suppliers.

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