- 2017-2019 “Achieving Operational Excellence in Disaster Management and Emergency Response” (ORDER)
Juliana Sutanto (PI)
- 2017-2019 “The Framework for Community Resilience Assessment and Measurement” (FRAME)
Juliana Sutanto (PI)
- 2019 - Accelerating Impact for Disaster Management and Emergency Response (AIDE-Response)
Juliana Sutanto (PI) and Konstantinos G. Zografos (CoPI)
FRAME
The Framework for Community Resilience Assessment and Measurement (FRAME) aims to address the problem of community resilience and sustainability in regular and crisis situations in Southeast Asian countries. To achieve this aim, an integrated framework for assessing and measuring community resilience in Southeast Asian countries will be developed.
FRAME focuses on Sustainable Cities and Communities (SDG 11). Community resilience is one of the major pillars of SDG 11. One of the key targets of SDG 11 is the significant reduction of deaths and the number of people affected, and the significant decrease of economic losses caused by disasters, with a focus on protecting poor and vulnerable populations (Target 11.5).
FRAME addresses directly this target, while it cuts across several other Sustainable Development Goals including: Good Health and Wellbeing (SDG 3), Clean Water and Sanitation (SDG 6), Affordable and Clean Energy (SDG 7), Industry Innovation and Infrastructure (SDG 9), Climate Action (SDG 13) and Partnerships for the Goals (SDG 17).
ORDER
Indonesia is one of the most disaster-prone countries in the world. It is located on the Pacific Ring of Fire, where the Indo-Australian, Eurasian, and Pacific plates meet. Natural hazards include earthquakes, tsunamis, floods, landslides, and volcanic eruptions.
ORDER strengthens the interdisciplinary research collaboration between UK researchers who specialize in quantitative methods for disaster management and information systems, and Indonesian researchers and practitioners in disaster management. By utilising mathematical models for decision support and integrating isolated information systems, disaster risks can be reduced, and resources for both preparedness and recovery can be used more effectively. The results of our research will benefit all stakeholders involved in and/or affected by large scale natural disasters. Specifically, our results will help:
- governmental and non-governmental organisations to increase the cost-effectiveness of their emergency management operations
- to reduce the negative implications to the population residing in the impacted areas
- reduce negative environmental and economic impacts.
AIDE Response
Professor Zografos (PI) and Professor Sutanto (Col) organised a workshop in the United Nations Conference Centre in Bangkok, Thailand on 9-10 January 2019. The workshop is within the framework of the Accelerating Impact for Disaster Management and Emergency Response (AIDE-Response) project, which is funded by EPSRC GCRF Global Impact Accelerator Account.
The workshop was attended by representatives from ASEAN Coordinating Centre for Humanitarian Assistance (AHA Centre), disaster management authorities of the three most vulnerable countries in the region (Philippine, Indonesia, and Myanmar), non-governmental organisations that are actively involved in disaster management and response, and UN agencies (FAO, UNESCAP, UNICEF).
Workshop participants identified barriers in disaster emergency management and potential enablers to overcome them. One key enabler is a Decision Support System (DSS) that uses static and dynamic data to suggest actions like logistics routing and evacuation plans. The DSS can improve the timeliness, accuracy, and consistency of decisions. Additionally, participants noted its potential to address the needs of population groups with special mobility requirements, enhance responder safety, and aid in post-action assessments.
