Vulnerable Neighborhood Explorer (VNE): An Open-Source Visual Analytics Tool for Exploring Social Vulnerability to Disasters across Different Neighborhoods
We developed the Vulnerable Neighborhood Explorer (VNE), a geovisual analytics tool that helps decision-makers and researchers identify disaster-prone neighborhoods using socioeconomic and demographic data. By creating neighborhood boundaries from user-provided data, VNE enables analysis of disparities in disaster impacts (e.g., casualties, injuries, infections) and their socioeconomic drivers. It employs clustering algorithms and a dynamic interface with Coordinated and Multiple Views (CMV), linking maps and charts interactively. Features like cross-filtering and brushing instantly update visualizations, allowing seamless exploration of vulnerable neighborhoods and their population characteristics in specific disaster contexts.
Authors
- Joon-Seok Kim (ORCID: https://orcid.org/0000-0001-9963-6698)
- Shaowen Wang (ORCID: https://orcid.org/0000-0001-5848-590X)
- Jeon‐Young Kang (ORCID: https://orcid.org/0000-0001-8754-2897)
- Su Yeon Han (ORCID: https://orcid.org/0000-0002-3906-4533)
- Alexander Michels (ORCID: https://orcid.org/0000-0002-7357-5206)
- Jooyoung Yoo
Institutions
- University of Southern California (US)
- Texas State University (US)
- Emory University (US)
- University of Illinois Urbana-Champaign (US)
- Kyung Hee University (KR)
Publication Details
- Journal
- SoftwareX
- Published
- 2025-06-29
- DOI
- https://doi.org/10.1016/j.softx.2025.102233
- Primary Topic
- Disaster Management and Resilience
- Type
- article
- Field-Weighted Citation Impact
- 0.00