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.

本研究旨在通过使用离散选择理论进一步深入了解当地社区成员的偏好，从而促进改进采矿中的利益相关者分析。虽然最近的研究证明了离散选择理论在采矿利益相关者分析中的有用性，但以前没有研究过哪种离散选择模型 (DCM) 最合适。本文提供了一份关于采矿​​社区案例研究的研究报告，该案例研究旨在比较三种 DCM。在对所有模型的优缺点进行全面检查后，本研究得出结论，按问题分层的条件 logit 模型是采矿利益相关者分析最有用的 DCM。该建议基于该模型的有用性和准确性（匹配调查数据的能力）。