Geospatial Data Utilisation in National Disaster Management Frameworks and the Priorities of Multilateral Disaster Management Frameworks
Case Studies of India and Bulgaria
Bibliographic Data
| ID | 22032563 |
|---|---|
| Authors | Tarun Ghawana (0000-0003-4165-2059, Independent Researcher, New Delhi 110078, India), Lyubka Pashova (0000-0002-8058-9905, Bulgarian Academy of Sciences, corresponding author), Sisi Zlatanova (0000-0002-8766-0487, UNSW Sydney) |
| Year | 2021 |
| Volume | 10 |
| Issue | 9 |
| Pages | 610 |
| Publication date | 2021-09-15 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10090610 |
| OpenAlex | W3200421034 |
| Language | EN |
| Citations received | 2 |
| References cited | 34 |
Facing the increased frequency of disasters and resulting in massive damages, many countries have developed their frameworks for Disaster Risk Management (DRM). However, these frameworks may differ concerning legal, policy, planning and organisational arrangements. We argue that geospatial data is a crucial binding element in each national framework for different stages of the disaster management cycle. The multilateral DRM frameworks, like the Sendai Framework 2015–2030 and the United Nations Committee of Experts on Global Geospatial Information Management (UNGGIM) Strategic Framework on Geospatial Information and Services for Disasters, provide the strategic direction, but they are too generic to compare geospatial data in national DRM frameworks. This study investigates the two frameworks and suggests criteria for evaluating the utilisation of geospatial data for DRM. The derived criteria are validated for the comparative analysis of India and Bulgaria’s National Disaster Management Frameworks. The validation proves that the criteria can be used for a general comparison across national DRM
Business · Crisis management · Damages · Emergency management · Geography · Geospatial analysis · Political science · Remote sensing · Data-Driven Disease Surveillance · Flood Risk Assessment and Management · Geographic Information Systems Studies
| Citations per year | 2 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |