ABSTRACT

Promoting household adoption of water conservation behaviors (WCBs) has emerged as a vital strategic response to address water scarcity. Nevertheless, it is imperative to recognize that acceptance of residential WCBs relies on households’ voluntary engagement, as are interventions designed to encourage households to become involved in such actions. Meanwhile, environmental psychology plays a key role in understanding individuals’ WCBs and exploring the psychosocial determinants underlying these behaviors. Furthermore, the spread of technology and behavior among a population are known as a complex adaptive system (CAS), and agent-based modeling (ABM) offers a comprehensive and practical approach to studying CASs. Hence, the main aim of the present research is to introduce a novel, hybrid agent-based framework for simulating the adoption of residential WCBs, in which an extended model of the theory of planned behavior acts as household agents’ behavioral rule for adopting water-efficiency behaviors (WEBs). The framework is also grounded in various theories rooted in psychological and social sciences. Moreover, the presented framework integrates ABM and structural equation modeling approaches. Although this study mainly focuses on WEBs, the framework includes a mechanism to update agents’ water use based on their adoption level of water curtailment behaviors. Thus, the presented framework allows for simultaneously but separately exploring the preferred level of both types of WCBs among household agents. Finally, total water consumption is systematically calculated based on agents’ aggregated behavior.

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REFERENCES

Ajzen, I. (1985). From intentions to actions: a theory of planned behavior. In: Kuhl, J., Beckmann, J. (Eds.), Action Control: from Cognition to Behavior. Springer Berlin Heidelberg, Berlin, Heidelberg, 11–39.
Ajzen, I. (1991). “The theory of planned behavior.” Organ. Behav. Hum. Decis. Process., 50(2), 179–211.
Alvarado Espejo, J. M., Torres Ontaneda, W. I., Aguirre Padilla, N. I., and Ochoa-Moreno, W. S. (2021). “Water saving practices conditioned by socioeconomic factors: a case study of Ecuadorian households.”, J. Environ. Manage., 293, 112818.
Athanasiadis, I. N., and Mitkas, P. A. (2005). “Social influence and water conservation: An agent-based approach.” J. Comput. Inform. Sci. Eng., 7(1), 65–70.
Athanasiadis, I. N., Mentes, A. K., Mitkas, P. A., and Mylopoulos, Y. A. (2005). “A hybrid agent-based model for estimating residential water demand.” Simulation, 81(3), 175–187.
Auyang, S. Y. (1998). Foundations of complex-system theories: in economics, evolutionary biology, and statistical physics. Cambridge University Press.
Bandura, A. (1977). Social learning theory. Englewood Cliffs, N.J.: Prentice Hall.
Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall, Inc, Englewood Cliffs, New Jersey, United State.
Berglund, E. Z. (2015). “Using agent-based modeling for water resources planning and management.” J. Water Resour. Plann. Manag., 141(11), 04015025.
Chan, S. (2001). Complex adaptive systems. In ESD. 83 research seminar in engineering systems (Vol. 31, pp. 1–19). Cambridge, MA, USA: MIT.
Chu, J., Wang, C., Chen, J., and Wang, H. (2009). “Agent-based residential water use behavior simulation and policy implications: A case-study in Beijing City.” Water Resour. Manage., 23(15), 3267–3295.
Dadvar, A., Mahapatra, K., and Forss, J. (2021). “Water use behavior in a multicultural urban area in Sweden.” Sustainability., 13(15), 8603.
Darbandsari, P., Kerachian, R., and Malakpour-Estalaki, S. (2017). “An Agent-based behavioral simulation model for residential water demand management: The case-study of Tehran, Iran.” Simul. Model. Pract. Theory., 78, 51–72.
Edwards, M., Ferrand, N., Goreaud, F., and Huet, S. (2005). “The relevance of aggregating a water consumption model cannot be disconnected from the choice of information available on the resource.” Simul. Model. Pract. Theory., 13(4), 287–307.
Fielding, K. S., Russell, S., Spinks, A., and Mankad, A. (2012). “Determinants of household water conservation: The role of demographic, infrastructure, behavior, and psychosocial variables.” Water Resour. Res., 48(10).
Galán, J. M., López‐Paredes, A., and Del Olmo, R. (2009). “An agent‐based model for domestic water management in Valladolid metropolitan area”, Water Resour. Res., 45(5).
Hurlimann, A., Dolnicar, S., and Meyer, P. (2009). “Understanding behaviour to inform water supply management in developed nations – A review of literature, conceptual model and research agenda.” J. Environ. Manage., 91(1), 47–56.
Kanta, L., and Zechman, E. (2014). “Complex adaptive systems framework to assess supply-side and demand-side management for urban water resources”, Journal of Water Resources Planning and Management, 140(1), 75–85.
Kasargodu Anebagilu, P., Dietrich, J., Prado-Stuardo, L., Morales, B., Winter, E., and Arumi, J. L. (2021). “Application of the theory of planned behavior with agent-based modeling for sustainable management of vegetative filter strips”, J. Environ. Manage., 284, 112014.
Kelly, R. A., et al. (2013). “Selecting among five common modelling approaches for integrated environmental assessment and management.” Environ. Model. Software., 47, 159–181.
Koutiva, I., and Makropoulos, C. (2016). “Modelling domestic water demand: an agent based approach.” Environ. Model. Software., 79, 35–54.
Koutiva, I., and Makropoulos, C. (2017). “Exploring the effects of domestic water management measures to water conservation attitudes using agent based modelling.” Water Sci. Tech. Water Supply., 17(2), 552–560.
Latané, B. (1981). “The psychology of social impact.” Am. Psychol., 36(4), 343.
Lee, M., and Tansel, B. (2013). “Water conservation quantities vs customer opinion and satisfaction with water efficient appliances in Miami, Florida.” J. Environ. Manage., 128, 683–689.
López-Paredes, A., Saurí, D., and Galán, J. M. (2005). “Urban water management with artificial societies of agents: The FIRMABAR simulator.” Simulation., 81(3), 189–199.
Martínez-Espiñeira, R., and García-Valiñas, M. Á. (2013). “Adopting versus adapting: adoption of water-saving technology versus water conservation habits in Spain.” Int. J. Water Resour. Dev., 29(3), 400–414.
Miller, J. H., and Page, S. E. (2007). Complex adaptive systems. Princeton, NJ: Princeton University Press.
Millock, K., and Nauges, C. (2010). “Household adoption of water-efficient equipment: the role of socio-economic factors, environmental attitudes and policy.” Environ. Resour. Econ., 46(4), 539–565.
Newman, M. E. (2003). “The structure and function of complex networks.” SIAM Rev., 45(2), 167–256.
Pouladi, P., Afshar, A., Afshar, M. H., Molajou, A., and Farahmand, H. (2019). “Agent-based socio-hydrological modeling for restoration of Urmia Lake: application of theory of planned behavior.” J. hydrol., 576, 736–748.
Railsback, S. F. (2001). “Concepts from complex adaptive systems as a framework for individual-based modelling.” Ecol. Model., 139(1), 47–62.
Ramsey, E., and Berglund, E. Z. (2021). “Developing an Agent-Based Model of Dual-Flush Toilet Adoption.” J. Water Resour. Plann. Manag., 147(10), 04021067.
Rasoulkhani, K., Logasa, B., Presa Reyes, M., and Mostafavi, A. (2018). “Understanding fundamental phenomena affecting the water conservation technology adoption of residential consumers using agent-based modeling”, Water, 10(8), 993.
Rogers, E. M. (1983). Diffusion of innovations. 3rd Ed. New York: The Free Press.
Russell, S., and Fielding, K. (2010). “Water demand management research: a psychological perspective.” Water Resour. Res., 46(5).
Russell, S. V., and Knoeri, C. (2020). “Exploring the psychosocial and behavioural determinants of household water conservation and intention.” Int. J. Water Resour. Dev., 36(6), 940–955.
Shafiee, M. E., and Zechman, E. M. (2013). “An agent-based modeling framework for sociotechnical simulation of water distribution contamination events.” J. Hydroinf., 15(3), 862–880.
Safarpour, H., Tabesh, M., Shahangian, S. A., Hajibabaei, M., and Sitzenfrei, R. (2022). “Life Cycle Sustainability Assessment of Wastewater Systems under Applying Water Demand Management Policies.” Sustainability., 14(13), 7736.
Shahangian, S. A., Tabesh, M., and Yazdanpanah, M. (2021a). “How can socio-psychological factors be related to water-efficiency intention and behaviors among Iranian residential water consumers?” J. Environ. Manage., 288, 112466.
Shahangian, S. A., Tabesh, M., and Yazdanpanah, M. (2021b). “Psychosocial determinants of household adoption of water-efficiency behaviors in Tehran capital, Iran: application of the social cognitive theory.” Urban Clim., 39, 100935.
Shahangian, S. A., Tabesh, M., Yazdanpanah, M., and Zobeidi, T. (2021c). “The use of social cognitive theory to explore urban household’s water conservation behaviours.” AQUA≈ 360: Water for All - Emerging Issues and Innovations., University of Exeter, United Kingdom.
Shahangian, S. A., Tabesh, M., Yazdanpanah, M., Zobeidi, T., and Raoof, M. A. (2022). “Promoting the adoption of residential water conservation behaviors as a preventive policy to sustainable urban water management.” J. Environ. Manage., 313, 115005.
Si, H., Duan, X., Zhang, W., Su, Y., and Wu, G. (2022). “Are you a water saver? Discovering people’s water-saving intention by extending the theory of planned behavior.” J. Environ. Manage., 311, 114848.
Topi, C., Esposto, E., and Govigli, V. M. (2016). “The economics of green transition strategies for cities: Can low carbon, energy efficient development approaches be adapted to demand side urban water efficiency?” Environ. sci. policy, 58, 74–82.
Tourigny, A., and Filion, Y. (2019). “Sensitivity analysis of an agent-based model used to simulate the spread of low-flow fixtures for residential water conservation and evaluate energy savings in a canadian water distribution system.” J. Water Resour. Plann. Manag., 145(1), 04018086.
Wilensky, U. (1999). “NetLogo.” <http://ccl.northwestern.edu/netlogo/>Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL.
Willis, R. M., Stewart, R. A., Panuwatwanich, K., Williams, P. R., and Hollingsworth, A. L. (2011). “Quantifying the influence of environmental and water conservation attitudes on household end use water consumption.” J. Environ. Manage., 92(8), 1996–2009.
Yazdanpanah, M., Hayati, D., Hochrainer-Stigler, S., and Zamani, G. H. (2014). “Understanding farmers’ intention and behavior regarding water conservation in the Middle-East and North Africa: a case study in Iran.” J. Environ. Manage., 135, 63–72.
Yazdanpanah, M., Feyzabad, F. R., Forouzani, M., Mohammadzadeh, S., and Burton, R. J. (2015). “Predicting farmers’ water conservation goals and behavior in Iran: a test of social cognitive theory.” Land Use Pol., 47, 401–407.
Yannopoulos, S., Giannopoulou, I., and Kaiafa-Saropoulou, M. (2019). “Investigation of the current situation and prospects for the development of rainwater harvesting as a tool to confront water scarcity worldwide.” Water., 11(10), 2168.
Young, H. P. (1999). Diffusion in social networks., Brookings Inst., Washington, D. C.
Zobeidi, T., Yaghoubi, J., and Yazdanpanah, M. (2022). “Developing a paradigm model for the analysis of farmers’ adaptation to water scarcity.” Environ. Dev. Sustain., 24(4), 5400–5425.
Zolfagharipoor, M. A., and Ahmadi, A. (2021). “Agent-based modeling of participants’ behaviors in an inter-sectoral groundwater market.” J. Environ. Manage., 299, 113560.
Zubaidi, S. L., Ortega-Martorell, S., Al-Bugharbee, H., Olier, I., Hashim, K. S., Gharghan, S. K., Kot, P., and Al-Khaddar, R. (2020). “Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study.” Water., 12(7), 1885.
Zucchinelli, M., Spinelli, R., Corrado, S., and Lamastra, L. (2021). “Evaluation of the influence on water consumption and water scarcity of different healthy diet scenarios.” J. Environ. Manage., 291, 112687.

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Go to World Environmental and Water Resources Congress 2023
World Environmental and Water Resources Congress 2023
Pages: 775 - 788

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Published online: May 18, 2023

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Seyyed Ahmadreza Shahangian [email protected]
1School of Civil Engineering, College of Engineering, Univ. of Tehran, Tehran, Iran; Water and Wastewater Research Center, Water Research Institute, Tehran, Iran. Email: [email protected]
Massoud Tabesh [email protected]
2School of Civil Engineering, College of Engineering, Univ. of Tehran, Tehran, Iran. Email: [email protected]
Masoud Yazdanpanah [email protected]
3Dept. of Agricultural Extension and Education, Agricultural Sciences and Natural Resources Univ. of Khuzestan, Mollasani, Iran; Dept. of Family, Youth, and Community Sciences, Univ. of Florida, Gainesville, FL. Email: [email protected]
Abbas Akbarzadeh [email protected]
4Water and Wastewater Research Center, Water Research Institute, Tehran, Iran. Email: [email protected]
Mohammad Amin Raoof [email protected]
5Dept. of Civil Engineering, Sharif Univ. of Technology, Tehran, Iran. Email: [email protected]
Tahereh Zobeidi [email protected]
6Advancing System Analysis Program, International Institute for Applied Systems Analysis, Laxenburg, Austria. Email: [email protected]
Mohsen Hajibabaei [email protected]
7Unit of Environmental Engineering, Dept. of Infrastructure Engineering, Univ. of Innsbruck, Innsbruck, Austria. Email: [email protected]
Robert Sitzenfrei [email protected]
8Unit of Environmental Engineering, Dept. of Infrastructure Engineering, Univ. of Innsbruck, Innsbruck, Austria. Email: [email protected]

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