Mining Stakeholder Analysis using Discrete Choice Theory: A Case Study in Salt Lake City


This research sought to facilitate improved stakeholder (community) analysis using discrete choice theory (DCT). The work considered 16 project attributes and four demographic factors. The discrete choice experiment was conducted in Salt Lake City, Utah to illustrate the usefulness of DCT in mining stakeholder analysis. The data was used in discrete choice modeling of individual preferences. The approach answers three important questions for enhanced stakeholder analysis: (1) What are the factors that affect individual preferences? (2) What is the effect of demographics on individual preferences? (3) What is the value of environmental and social impacts to individuals in the community?

Meeting Name

2016 SME Annual Conference and Expo: The Future for Mining in a Data-Driven World (2016: Feb. 21-24, Phoenix, AZ)


Mining Engineering

Second Department

Psychological Science

Third Department

Mathematics and Statistics

Keywords and Phrases

Population statistics; Demographic factors; Discrete choice experiments; Discrete choice models; Discrete choice theories; Individual preference

International Standard Book Number (ISBN)


Document Type

Article - Conference proceedings

Document Version


File Type





© 2016 Society for Mining, Metallurgy and Exploration, All rights reserved.

Publication Date

01 Feb 2016

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