Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments

Seo Young Lee, Sanghee Shin, Hakjoon Kim, Min Kyung Kim, So Yeon Yoon, Sangdon Lee

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Even though environmental impact assessments (EIAs) have been an important tool for environmental decision-making, most EIAs are published as a mix of text and tabular data that is not easily accessible to or understandable for the public. In this paper, we present a decision support system (DSS) that supports the decision-making of stakeholders in the EIA stage. The system was designed to improve the public’s understanding of stakeholders before and after a construction project by providing visualization of key environmental elements. We recruited 107 participants to test the usability of the system and examined the impacts of individual differences between the participants on their perceptions of the system, including their environmental expertise and computer self-efficacy. The results showed that the proposed system had high usability, especially for users with high computational efficacy and environment expertise. The system could thus help to improve the communication between the public and experts during public hearings and enhance the environmental literacy of the public.

Original languageEnglish
Article number1345
JournalInternational Journal of Environmental Research and Public Health
Issue number3
StatePublished - 1 Feb 2022

Bibliographical note

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.


  • Environmental literacy
  • Graphics
  • Likert scale
  • Sustainability
  • Usability test


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