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Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments
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) th...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835507/ https://www.ncbi.nlm.nih.gov/pubmed/35162367 http://dx.doi.org/10.3390/ijerph19031345 |
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author | Lee, Seo-young Shin, Sanghee Kim, Hakjoon Kim, Min-Kyung Yoon, So-Yeon Lee, Sangdon |
author_facet | Lee, Seo-young Shin, Sanghee Kim, Hakjoon Kim, Min-Kyung Yoon, So-Yeon Lee, Sangdon |
author_sort | Lee, Seo-young |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8835507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88355072022-02-12 Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments Lee, Seo-young Shin, Sanghee Kim, Hakjoon Kim, Min-Kyung Yoon, So-Yeon Lee, Sangdon Int J Environ Res Public Health Article 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. MDPI 2022-01-25 /pmc/articles/PMC8835507/ /pubmed/35162367 http://dx.doi.org/10.3390/ijerph19031345 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Seo-young Shin, Sanghee Kim, Hakjoon Kim, Min-Kyung Yoon, So-Yeon Lee, Sangdon Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments |
title | Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments |
title_full | Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments |
title_fullStr | Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments |
title_full_unstemmed | Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments |
title_short | Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments |
title_sort | assessing the visualization-based decision support system for environmental impact assessments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8835507/ https://www.ncbi.nlm.nih.gov/pubmed/35162367 http://dx.doi.org/10.3390/ijerph19031345 |
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