The design of a GIS-based decision support system for chemical emergency preparedness and response in an urban environment

Chang, Ni‐Bin; Wei, Yu‐Ling; Tseng, C. C.; Kao, C.Y.J.

doi:10.1016/s0198-9715(97)01009-0

Cited by 72 publications

(25 citation statements)

References 13 publications

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“…It is widely understood that models need validation to ensure that they accurately reflect processes operating in the 'real-world' -thus making them useful for prediction. Validation of hazard, risk and vulnerability models within the realm of natural disasters is especially important since model data outputs are often used to determine land use zoning and planning, emergency response actions, disaster planning and insurance premiums (Tufekci, 1995;Esogbue, 1996;Pidd et al, 1996;Chang et al, 1997;Peters and Hall, 1999;Jenkins, 2000).…”

Section: Introduction and Aimsmentioning

confidence: 99%

Validating a Tsunami Vulnerability Assessment Model (the PTVA Model) Using Field Data from the 2004 Indian Ocean Tsunami

Dominey‐Howes

Papathoma

2006

Nat Hazards

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The ''PTVAM'' tsunami vulnerability assessment model [Papathoma and DomineyHowes: 2003, Nat. Hazards Earth Syst. Sci. 3, 733-744; Papathoma et al.: 2003, Nat. Hazards Earth Syst. Sci. 3, 377-389], like all models, requires validation. We use the results from posttsunami surveys in the Maldives following the December 26, 2004 Indian Ocean tsunami to 'evaluate' the appropriateness of the PTVAM attributes to understanding spatial and temporal vulnerability to tsunami damage and loss. We find that some of the PTVAM attributes are significantly important and others moderately important to understanding and assessing vulnerability. Some attributes require further investigation. Based upon the ground-truth data, we make several modifications to the model framework and propose a revised version of the PTVAM (PTVAM 2).

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Section: Introduction and Aimsmentioning

confidence: 99%

Validating a Tsunami Vulnerability Assessment Model (the PTVA Model) Using Field Data from the 2004 Indian Ocean Tsunami

Dominey‐Howes

Papathoma

2006

Nat Hazards

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“…Therefore, the three approaches discussed above can result in poor approximations of the impact area. In this case, researchers have usually resorted to the Gaussian plume model (GPM) (Hanna et al, 1993;Patel and Horowitz, 1994;Chang et al, 1997;Zhang et al, 2000;Puliafito et al, 2003). The Gaussian plume model is based on several limiting assumptions:…”

Section: Gaussian Plume Modelmentioning

confidence: 99%

Chapter 9 Hazardous Materials Transportation

Erkut

Tjandra

Verter

2007

Handbooks in Operations Research and Management Science

177

102

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“…Relevancy in the context of spatial decision support for crisis has been mostly concerned with data and analytic issues aimed at characterizing crisis situation in a formal and scientific way. Attention has been given to the choice of spatial data sources, the understanding of their limitations, and the application of valid spatial and statistical methods for assessing potential risks of an ongoing crisis [13,14]. The usefulness of computer generated maps is also affected by the amount of details, spatial scale, and the choice of spatial aggregation when the results of the geospatial analysis and simulation models are summarized and presented to the end users (see [73,77,78] for evidences).…”

Section: Relevancymentioning

confidence: 99%

“…GIScientists, in collaboration with domain experts, have paid significant attention to the needs of crisis management professionals in terms of spatial data sources, data integration, network models and analysis, cartographical presentations, as well as coupling of GIS with risk simulation models [7,13,16,30,33,72,74] [22]. Practical issues related to the integration of the above component technologies into interactive decision-analysis tools have also started to be addressed [24,25].…”

Section: Introductionmentioning

confidence: 99%

Human-GIS interaction issues in crisis response

Cai¹,

Sharma

MacEachren

et al. 2006

IJRAM

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Abstract. Geospatial information systems (GIS) provide a central infrastructure forcomputer supported crisis management in terms of database, analytical models and visualization tools, but the user interfaces of such systems are still hard to use, and do not address the special needs of crisis managers who often work in teams and make judgments and decisions under stress. This paper articulates the overall challenges for effective GIS interfaces to support crisis management in three dimensions: immediacy, relevancy, and sharing. These three requirements are addressed by an integrated approach, taking a human-GIS interaction perspective. To demonstrate the feasibility of this approach, we cite our prototype system, DAVE_G (Dialogue-Assisted Visual Environment for Geoinformaton), as an example. DAVE_G uses a large screen display to create a shared workspace among team members, and allows risk managers to interact with a GIS through natural multimodal (speech/gesture) dialogues. This work highlights the design challenges and the required technical innovations towards the goal of making geographical information accessible to crisis management teams.Keywords: geographical information systems, human-computer interaction, multimodal interface, speech and gesture, dialogue management, geovisualization Bibliographical notes: Guoray Cai is Assistant Professor of Information Sciences andTechnology with the school of Information Sciences and Technology at the Pennsylvania State University. He is the director of the Spatial Information and Intelligence Laboratory, and an affiliate faculty of GeoVISTA center at Penn State. His research interests include spatial information retrieval, multimodal interfaces for GIS, conversational dialogue systems, and map-mediated communication and collaboration. He is a member of ACM, IEEE, and AAG (American Association of Geographers). Representation, Visualization, and Design (New York, Guilford, 1995). Dr. MacEachren is currently Chair of the International Cartographic Association Commission on Visualization and Virtual Environments. Rajeev Sharma is an Associated Professor of Computer Science and Engineering atIsaac Brewer is a Ph.D. degree candidate at the Department of Geography and the GeoVISTA Center, Pennsylvania State University, University Park. His dissertation research is focused on the development of a cognitive systems engineering approach to guide design of advanced human-computer interfaces that support collaborative actions with a GIS in emergency management situations. His long-term research interests are in the modeling of human cognitive processes and visual systems as it relates to the design of new interface technologies for geographical information.

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The design of a GIS-based decision support system for chemical emergency preparedness and response in an urban environment

Cited by 72 publications

References 13 publications

Validating a Tsunami Vulnerability Assessment Model (the PTVA Model) Using Field Data from the 2004 Indian Ocean Tsunami

Validating a Tsunami Vulnerability Assessment Model (the PTVA Model) Using Field Data from the 2004 Indian Ocean Tsunami

Chapter 9 Hazardous Materials Transportation

Human-GIS interaction issues in crisis response

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