Abstract

Multi-actor multi-criteria analysis (MAMCA) was developed with a process involving the participation of various stakeholders. Stakeholders express various criteria as measures for the achievement of their respective goals. In general, the assessment of each stakeholder is considered to have the same weight. In reality, the weight of each stakeholder’s involvement in policy decision making is not the same. For example, the government’s assessment weight will be different from those of local business actors. In this study, the authors developed a multi-actor multi-criteria analysis method by adding the weight of stakeholder involvement when making decisions about transportation policies that support sustainable mobility in protected natural–cultural tourism areas. The weight of involvement was developed through stakeholder participation. Stakeholders were asked to provide weights for all stakeholders other than themselves using the AHP method. The results of this weighting were then averaged and considered as the stakeholder assessment weights. Adding stakeholder weighting can also improve the quality of decisions by avoiding bias and following the principle of fairness in the assessment.

Highlights

  • Multi-criteria decision making (MCDM) has been widely used in various fields of study and for real-world problems and complex problems in the decision-making process [1]

  • This study extends multi-actor multi-criteria analysis (MAMCA)

  • Multi-Actor Multi-Criteria Based on the Weight of Stakeholder Involvement (B)

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Summary

Introduction

Multi-criteria decision making (MCDM) has been widely used in various fields of study and for real-world problems and complex problems in the decision-making process [1]. MCDM is different from the decision-making (DM) approach, which was originally used for optimal problem solving [3], in that it applies quantitative surveys [4]. MCDM focuses on making decisions that are most likely to be carried out by many parties based on the problem’s structure, taking all influential aspects into account [5]. MCDM was developed based on a systems approach. A systems approach is defined as a holistic view of a complex and interdisciplinary problem to achieve system goals [6]. MCDM is implemented with an understanding of the system under study, as well as the subsystems and their interrelationships, in order to achieve the objectives. Subsystem abstractions and interrelationships are expressed in the multi-criteria-based model; it is commonly called a multi-criteria decision model [7]

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