An Empirical Comparison of Discrete Choice Models for Mining Stakeholder Analysis

Abstract

This research sought to facilitate improved stakeholder analysis in mining by providing further insights into the preferences of local community members using discrete choice theory. While recent research has demonstrated the usefulness of discrete choice theory in mining stakeholder analysis, no previous work has examined which discrete choice model (DCM) is most suitable. This paper provides a research note on a case study in a mining community that was performed to compare three DCMs. After a thorough examination of the benefits and deficiencies of all models, this study concludes that the conditional logit model stratified by questions is the most useful DCM for mining stakeholder analysis. The recommendation is based on the usefulness and accuracy (ability to match the survey data) of this model.

Department(s)

Mining Engineering

Comments

Chongqing Postdoctoral Science Foundation, Grant SKLCRKF1916

Keywords and Phrases

Discrete choice model; Discrete choice theory; Individual decision-making; Mining community engagement; Stakeholder analysis

International Standard Serial Number (ISSN)

2524-3470; 2524-3462

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Springer, All rights reserved.

Publication Date

01 Oct 2022

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