Records |
Author |
Naci Dilekli; Tarek Rashed |
Title |
Towards a GIS data model for improving the emergency response in the Least Developing Countries: Challenges and opportunities |
Type |
Conference Article |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
Volume |
|
Issue |
|
Pages |
57-62 |
Keywords |
Developing countries; Information systems; Risk management; Developed countries; Emergency management; Emergency response; Emergency response practices; Geodatabase data models; GIS data; Home land security; Potential benefits; Emergency services |
Abstract |
Over the past few years, several standardized GIS data models have been developed to document “best practices” database designs for various application domains including the domain of emergency management. The majority of such models, however, have been developed in the context of developed countries as in the case of the Homeland Security geodatabase data model by ESRI®. These data models fail to be successful when transferred and used in the context of Least Developing Countries (LDCs) due to significant contextual differences in the domains of information systems and emergency practices. Therefore, developing GIS data models that are specifically designed for emergency response activities in LDCs are needed to improve existing emergency response practices in these countries. This paper reviews the state of development in GIS data models and the potential benefits and applications of building models that are specifically designed to support emergency response activities in LDCs. We first discusses why it is important to differentiate emergency response activities in LDCs from other contexts. We then present some theoretical considerations in developing GIS data models that can overcome contextual difficulties in LDCs in general and in the domain of information systenms. We finally attempt to provide key guidelines that may help designing a GIS Data Model, while is specifically referenced to the LDCs context. |
Address |
University of Oklahoma, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
Track |
LDCS |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
449 |
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|
Author |
Muhammad Tauhidur Rahman; Tarek Rashed |
Title |
Towards a geospatial approach to post-disaster environmental impact assessment |
Type |
Conference Article |
Year |
2007 |
Publication |
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers |
Abbreviated Journal |
ISCRAM 2007 |
Volume |
|
Issue |
|
Pages |
219-226 |
Keywords |
Damage detection; Disasters; Environmental impact assessments; Geographic information systems; Remote sensing; Analytical approach; Built-in components; Conceptual frameworks; Disaster mitigation; Impact assessments; Rapid environmental impact assessment (REA); Severity index; Statistical decomposition; Environmental impact |
Abstract |
Natural disasters often leave profound impacts on the environment. Existing disaster impact assessment methods fall short in facilitating the relief work and in conducting cross-sectional comparison of various facets of such impacts. The development of a standardized index for measuring/monitoring the environmental impacts of disasters is necessary to address this gap. This paper proposes a conceptual framework to study the environmental impacts via remote sensing/GIS based geospatial analytical approach by developing a post-disaster environmental severity index. It considers physical, social and built-in components of the environment and identifies several key indicators of disaster impacts. Through statistical decomposition of a large number of environmental impact indicators, the study proposes a composite post-disaster environmental severity index (PDESI). Mapping of the proposed index would help identification of areas and component of the environment that are severely affected by a disaster, and formulation of disaster mitigation and damage recovery plans accordingly. |
Address |
University of Oklahoma, United States |
Corporate Author |
|
Thesis |
|
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Delft |
Editor |
B. Van de Walle, P. Burghardt, K. Nieuwenhuis |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
9789054874171; 9789090218717 |
Medium |
|
Track |
REAS |
Expedition |
|
Conference |
4th International ISCRAM Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
865 |
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