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Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review

Sattler, Bernhard Jonathan ; Friesen, John ; Tundis, Andrea ; Pelz, Peter F. (2023)
Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review.
In: Water, 2023, 15 (3)
doi: 10.26083/tuprints-00023352
Artikel, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

Current challenges, such as climate change or military conflicts, show the great importance of urban supply infrastructures. In this context, an open question is how different scenarios and crises can be studied in silico to assess the interaction between the needs of social systems and technical infrastructures. Agent-based modeling is a suitable method for this purpose. This review investigates (i) how agent-based models of residential water demand should be validated, (ii) how such models are commonly built and (iii) validated, and (iv) how these validation practices compare to the recommendations drawn from question (i). Therefore, a systematic literature review using the PRISMA framework is conducted. Out of 207 screened papers, 35 models are identified with an emphasis on highly realistic models (i.e., highly detailed and representing specific real-world systems) for planning, management, and policy of urban water resources. While some models are thoroughly validated, quantified validation distinct from calibration data should be emphasized and used to communicate the confidence in results and recommendations drawn from the models. Pattern-oriented validation, validation on multiple levels and on higher moments of aggregated statistics should be considered more often. These findings expand prior literature by providing a more extensive sample of reviewed articles and recommending specific approaches for the validation of models.

Typ des Eintrags: Artikel
Erschienen: 2023
Autor(en): Sattler, Bernhard Jonathan ; Friesen, John ; Tundis, Andrea ; Pelz, Peter F.
Art des Eintrags: Zweitveröffentlichung
Titel: Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review
Sprache: Englisch
Publikationsjahr: 28 November 2023
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2023
Ort der Erstveröffentlichung: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Water
Jahrgang/Volume einer Zeitschrift: 15
(Heft-)Nummer: 3
Kollation: 32 Seiten
DOI: 10.26083/tuprints-00023352
URL / URN: https://tuprints.ulb.tu-darmstadt.de/23352
Zugehörige Links:
Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

Current challenges, such as climate change or military conflicts, show the great importance of urban supply infrastructures. In this context, an open question is how different scenarios and crises can be studied in silico to assess the interaction between the needs of social systems and technical infrastructures. Agent-based modeling is a suitable method for this purpose. This review investigates (i) how agent-based models of residential water demand should be validated, (ii) how such models are commonly built and (iii) validated, and (iv) how these validation practices compare to the recommendations drawn from question (i). Therefore, a systematic literature review using the PRISMA framework is conducted. Out of 207 screened papers, 35 models are identified with an emphasis on highly realistic models (i.e., highly detailed and representing specific real-world systems) for planning, management, and policy of urban water resources. While some models are thoroughly validated, quantified validation distinct from calibration data should be emphasized and used to communicate the confidence in results and recommendations drawn from the models. Pattern-oriented validation, validation on multiple levels and on higher moments of aggregated statistics should be considered more often. These findings expand prior literature by providing a more extensive sample of reviewed articles and recommending specific approaches for the validation of models.

Freie Schlagworte: household water demand, domestic water use, agent-based modeling, multi-agent, socio-technical systems, validation, urban, policy, management, planning, social simulation
ID-Nummer: 579
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-233527
Zusätzliche Informationen:

This article belongs to the Special Issue Review Papers of Urban Water Management

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Fluidsystemtechnik (FST) (seit 01.10.2006)
Hinterlegungsdatum: 28 Nov 2023 13:41
Letzte Änderung: 29 Nov 2023 10:23
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