Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review
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 in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/15/3/579 |
| _version_ | 1797623033498697728 |
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| author | Bernhard Jonathan Sattler John Friesen Andrea Tundis Peter F. Pelz |
| author_facet | Bernhard Jonathan Sattler John Friesen Andrea Tundis Peter F. Pelz |
| author_sort | Bernhard Jonathan Sattler |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T09:19:35Z |
| format | Article |
| id | doaj.art-25697173dea34c0981490924c0aa66e0 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-11T09:19:35Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-25697173dea34c0981490924c0aa66e02023-11-16T18:24:40ZengMDPI AGWater2073-44412023-02-0115357910.3390/w15030579Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature ReviewBernhard Jonathan Sattler0John Friesen1Andrea Tundis2Peter F. Pelz3Institute for the Protection of Terrestrial Infrastructures, German Aerospace Center (DLR), 53757 Sankt Augustin, GermanyChair of Fluid Systems, Technical University of Darmstadt, 64289 Darmstadt, GermanyInstitute for the Protection of Terrestrial Infrastructures, German Aerospace Center (DLR), 53757 Sankt Augustin, GermanyChair of Fluid Systems, Technical University of Darmstadt, 64289 Darmstadt, GermanyCurrent 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.https://www.mdpi.com/2073-4441/15/3/579household water demanddomestic water useagent-based modelingmulti-agentsocio-technical systemsvalidation |
| spellingShingle | Bernhard Jonathan Sattler John Friesen Andrea Tundis Peter F. Pelz Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review Water household water demand domestic water use agent-based modeling multi-agent socio-technical systems validation |
| title | Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review |
| title_full | Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review |
| title_fullStr | Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review |
| title_full_unstemmed | Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review |
| title_short | Modeling and Validation of Residential Water Demand in Agent-Based Models: A Systematic Literature Review |
| title_sort | modeling and validation of residential water demand in agent based models a systematic literature review |
| topic | household water demand domestic water use agent-based modeling multi-agent socio-technical systems validation |
| url | https://www.mdpi.com/2073-4441/15/3/579 |
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