Assessing the Visualization-Based Decision Support System for Environmental Impact Assessments
- 주제(키워드) graphics , sustainability , environmental literacy , Likert scale , usability test
- 주제(기타) Environmental Sciences
- 주제(기타) Public, Environmental & Occupational Health
- 설명문(일반) [Lee, Seo-young; Yoon, So-Yeon] Cornell Univ, Coll Human Ecol, Ithaca, NY 14853 USA; [Shin, Sanghee; Kim, Hakjoon] Gaia 3D Inc, Seoul 08611, South Korea; [Kim, Min-Kyung; Lee, Sangdon] Ewha Womans Univ, Coll Engn, Seoul 03760, South Korea
- 등재 SCIE, SSCI, SCOPUS
- OA유형 Green Published, gold
- 발행기관 MDPI
- 발행년도 2022
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000191241
- 본문언어 영어
- Published As https://doi.org/10.3390/ijerph19031345
- PubMed https://pubmed.ncbi.nlm.nih.gov/35162367
초록/요약
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.
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