Lo sentimos, pero este contenido no tiene traducción para el idioma seleccionado. El contenido se enseñará en Inglés.

DATA MODEL DEVELOPMENT FOR FIRE RELATED EXTREME EVENTS: AN ACTIVITY THEORY APPROACH1.

Authors
Chen, Rui ; Sharman, Raj ; Rao, H. Raghav ; Upadhyaya, Shambhu J.

Post-analyses of major extreme events reveal that information sharing is critical for effective emergency response. The lack of consistent data standards for current emergency management practice, however, hinders efficient critical information flow among incident responders. In this paper, we adopt a third-generation activity theory guided approach to develop a data model that can be used in the response to fire-related extreme events. This data model prescribes the core data standards to reduce information inter operability barriers. The model is validated through a three-step approach including a request for comment (RFC) process, case application, and prototype system test. This study contributes to the literature in the area of interoperability and data modeling; it also informs practice in emergency response system design. [ABSTRACT FROM AUTHOR]/nCopyright of MIS Quarterly is the property of MIS Quarterly and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Codebooks
SLR Criteria
Summary

Activity theory approach

SLR Criteria
Summary

Interview, prove of concept, survey

Summary

- Goal Oriented- Function Based- Viewpoint Oriented- Extended Activity Theory Approach

Summary

Step 1: Initial Validation by a panel of domain expertsStep 2: Case Application with an empirical case to show the utility of the data model in improving the existing interagency response information sharing practiceStep 3: Prototype System Test

SLR Criteria
Summary

- collecting feedback by interviewing the panel members (verbal communication),- prototype system test was evaluated by user acceptance testing to assess its quality and level of support in fire response communication, user acceptance test consisted of both scripted based and tabletop exercises which are typical methods for emergency response exercises

SLR Criteria
Summary

Develop a data model that standardizes task-critical information for fire-related incident managemen as an examplet.Incorporate an extended activity theory approach that improves emergency management practice with a validated data standardCarry out a research evaluation using a three-step approach: • initiate a request for comment (RFC) process • employ a case study to show the value of the data model • develop a prototype system and demonstrate it to fire chiefs and other first responders

Summary

proof of concept

SLR Criteria
Summary

Using fire incidents as an example, we have developed a systematic data model to capture and standardize response-critical information for fire incident management. The paper provides a detailed data model along with a data dictionary and an object-oriented structureThis project represents one of the first attempts in the response community to propose solutions that would contribute to the creation of a widely accepted set of emergency data standards. The fire incident data model improves collaboration and information sharing among response organizations and agencies.

SLR Criteria
Summary

The model is validated through a three-step approach including a request for comment (RFC) process, case application, and prototype system test.

 

 

eu El sitio web Portfolio of Solutions se desarrolló inicialmente en el marco del proyecto DRIVER+. En la actualidad, el servicio está gestionado por el AIT Austrian Institute of Technology GmbH, en beneficio de la gestión europea de . El PoS está avalado y apoyado por la Disaster Competence Network Austria (DCNA), así como por los proyectos STAMINA y TeamAware H2020.