Emergency Response Logistics
Discover the publications and projects for Emergency Response Logistics.
- 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)
The Framework for Community Resilience Assessment and Measurement (FRAME) aims to address the problem of community resilience and sustainability under regular and crisis situations in South East Asian countries. To achieve this aim, an integrated framework for assessing and measuring community resilience in South East Asian countries will be developed.
FRAME focusses 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 focus on protecting poor and vulnerable populations (Target 11.5).
FRAME addresses directly this target, while it cuts across a number of 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).
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, the Eurasian and the Pacific plates meet. Natural hazards include earthquakes, tsunamis, floods, landslides, and volcanic eruptions.
ORDER strengthens the interdisciplinary research collaboration between UK researchers specialising in quantitative methods for disaster management and information systems, and Indonesian researchers and practitioners in disaster management. Based on mathematical models for decision support and integration of siloed information systems, disaster risks can be mitigated and resources for both preparedness and recovery used more efficiently. The results of our research will benefit all stakeholders involved in and/or affected by large scale natural disasters. Specifically, our results will help: i) governmental and non-governmental organisations to increase the cost-effectiveness of their emergency management operations, ii) to reduce the negative implications to the population residing in the impacted areas, iii) reduce negative environmental and economic impacts.
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 Accelerating Impact for Disaster Management and Emergency Response (AIDE-Response) project 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).
The workshop participants highlighted the institutional and technical barriers in disaster emergency management decisions and the potential enablers to overcome the barriers – among which is a Decision Support System (DSS) that incorporates static and dynamic data to propose course of actions such as logistics routing and evacuation plan. Besides beneficial in terms of increasing the timeliness, accuracy, and consistency of the decisions made, the participants pointed out some other potential impacts of a DSS which is the consideration of the requirements of population groups with special mobility needs in the decisions made especially with respect to evacuation, increase security and safety of the responders, and useful for post-action assessment.
Projects which CENTRAL staff have participated in
- 2001-2003 “Safety Improvement in Road & rail Tunnels using Advanced ICT and Knowledge Intensive DSS (SIRTAKI)”, European Commission, Directorate General Information Society (DG INFSO) (Konstantinos G. Zografos)
- 1998-2001 “A DSS for Hazardous material Logistics”, Greek General Secretariat on Science and Technology, Second Operational Program of Research and Development (Konstantinos G. Zografos)
- 1998-1999 “Integrated Incident Management. Emergency Healthcare and Environment Monitoring in Road Networks (IN-EMERGENCY)”, European Commission, Directorate General Information Society (DG INFSO) (Konstantinos G. Zografos)
- 1997-1999 “Development of a Decision Support System for Large Scale Technological Accident Emergency Planning”, Ministry of Environment Public Works and Region Development (Konstantinos G. Zografos)
- 1996-1999 “Incident Response with on line innovative sensing (IN-RESPONSE)”, European Commission, DG XIII (Konstantinos G. Zografos)
- 1996-1997 “Application Research and Testing for Emergency Management Intelligent Systems (ARTEMIS)”, European Commission, DG XIII (Konstantinos G. Zografos)
- 1991-1992 “A Model for Predicting Emergency Response Crew Requirements Under Severe Service Disruption Conditions”, Florida Power & Light (Konstantinos G. Zografos)
- 1989 “Integrating Geographic Information Systems (GIS) Technology in Planning Emergency Response Services", Florida Power & Light (Konstantinos G. Zografos)