Developing an ABM-driven decision support System in the emergency services

Stephen Dobson; Mark Burkitt; Dermot Breslin; Daniela Romano

doi:10.5220/0005773501510157

Developing an ABM-driven decision support System in the emergency services

Stephen Dobson
, Mark Burkitt
, Dermot Breslin
, Daniela Romano

Health and Human Development Initiative

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The research presented here outlines an application of Agent-Based Modelling (ABM) used to support strategic decision-making in the emergency services. Here the resulting ABM-driven Decision Support System (DSS) (called 'Premonition') is designed to help practitioners engage with a complex and dynamic environment of co-evolving fire risk behaviours through time. Social change is presented here as a process by which behaviours co-evolve within connected networks of agents. ABM is identified as a beneficial approach to simulate changing household behaviours and the influence of social networks, environmental factors, and also fire service interventions within the Sheffield City region, UK. This project seeks to develop a DSS which supports the stages of 'intelligence', 'design', and 'choice' as the decision-maker moves from identifying problem areas, establishing possible strategies for intervention, and predicting possible outcomes of alternative courses of action.

Original language	English
Title of host publication	ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Editors	Slimane Hammoudi, Leszek Maciaszek, Leszek Maciaszek, Michele M. Missikoff, Olivier Camp, Jose Cordeiro, Jose Cordeiro
Publisher	SciTePress
Pages	151-157
Number of pages	7
ISBN (Electronic)	9789897581878
DOIs	https://doi.org/10.5220/0005773501510157
Publication status	Published - 2016
Event	18th International Conference on Enterprise Information Systems, ICEIS 2016 - Rome, Italy Duration: 25 Apr 2016 → 28 Apr 2016

Publication series

Name	ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Volume	2

Conference

Conference	18th International Conference on Enterprise Information Systems, ICEIS 2016
Country/Territory	Italy
City	Rome
Period	25/04/2016 → 28/04/2016

Bibliographical note

Publisher Copyright:
Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

Keywords

Agent-based model
Co-evolution
Connectivity
Decision support system
Domestic fire risk behaviour

ASJC Scopus subject areas

Information Systems and Management
Computer Science Applications

Access to Document

10.5220/0005773501510157Licence: CC BY-NC-ND

Cite this

Dobson, S., Burkitt, M., Breslin, D., & Romano, D. (2016). Developing an ABM-driven decision support System in the emergency services. In S. Hammoudi, L. Maciaszek, L. Maciaszek, M. M. Missikoff, O. Camp, J. Cordeiro, & J. Cordeiro (Eds.), ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems (pp. 151-157). (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems; Vol. 2). SciTePress. https://doi.org/10.5220/0005773501510157

Dobson, Stephen ; Burkitt, Mark ; Breslin, Dermot et al. / Developing an ABM-driven decision support System in the emergency services. ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. editor / Slimane Hammoudi ; Leszek Maciaszek ; Leszek Maciaszek ; Michele M. Missikoff ; Olivier Camp ; Jose Cordeiro ; Jose Cordeiro. SciTePress, 2016. pp. 151-157 (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems).

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title = "Developing an ABM-driven decision support System in the emergency services",

abstract = "The research presented here outlines an application of Agent-Based Modelling (ABM) used to support strategic decision-making in the emergency services. Here the resulting ABM-driven Decision Support System (DSS) (called 'Premonition') is designed to help practitioners engage with a complex and dynamic environment of co-evolving fire risk behaviours through time. Social change is presented here as a process by which behaviours co-evolve within connected networks of agents. ABM is identified as a beneficial approach to simulate changing household behaviours and the influence of social networks, environmental factors, and also fire service interventions within the Sheffield City region, UK. This project seeks to develop a DSS which supports the stages of 'intelligence', 'design', and 'choice' as the decision-maker moves from identifying problem areas, establishing possible strategies for intervention, and predicting possible outcomes of alternative courses of action.",

keywords = "Agent-based model, Co-evolution, Connectivity, Decision support system, Domestic fire risk behaviour",

author = "Stephen Dobson and Mark Burkitt and Dermot Breslin and Daniela Romano",

note = "Publisher Copyright: Copyright {\textcopyright} 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 18th International Conference on Enterprise Information Systems, ICEIS 2016 ; Conference date: 25-04-2016 Through 28-04-2016",

year = "2016",

doi = "10.5220/0005773501510157",

language = "English",

series = "ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems",

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pages = "151--157",

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}

Dobson, S, Burkitt, M, Breslin, D & Romano, D 2016, Developing an ABM-driven decision support System in the emergency services. in S Hammoudi, L Maciaszek, L Maciaszek, MM Missikoff, O Camp, J Cordeiro & J Cordeiro (eds), ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems, vol. 2, SciTePress, pp. 151-157, 18th International Conference on Enterprise Information Systems, ICEIS 2016, Rome, Italy, 25/04/2016. https://doi.org/10.5220/0005773501510157

Developing an ABM-driven decision support System in the emergency services. / Dobson, Stephen; Burkitt, Mark; Breslin, Dermot et al.
ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. ed. / Slimane Hammoudi; Leszek Maciaszek; Leszek Maciaszek; Michele M. Missikoff; Olivier Camp; Jose Cordeiro; Jose Cordeiro. SciTePress, 2016. p. 151-157 (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The research presented here outlines an application of Agent-Based Modelling (ABM) used to support strategic decision-making in the emergency services. Here the resulting ABM-driven Decision Support System (DSS) (called 'Premonition') is designed to help practitioners engage with a complex and dynamic environment of co-evolving fire risk behaviours through time. Social change is presented here as a process by which behaviours co-evolve within connected networks of agents. ABM is identified as a beneficial approach to simulate changing household behaviours and the influence of social networks, environmental factors, and also fire service interventions within the Sheffield City region, UK. This project seeks to develop a DSS which supports the stages of 'intelligence', 'design', and 'choice' as the decision-maker moves from identifying problem areas, establishing possible strategies for intervention, and predicting possible outcomes of alternative courses of action.

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Dobson S, Burkitt M, Breslin D, Romano D. Developing an ABM-driven decision support System in the emergency services. In Hammoudi S, Maciaszek L, Maciaszek L, Missikoff MM, Camp O, Cordeiro J, Cordeiro J, editors, ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. SciTePress. 2016. p. 151-157. (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems). doi: 10.5220/0005773501510157

Developing an ABM-driven decision support System in the emergency services

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this