Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Agent-based modeling to assess the effects of time-of-use water tariffs on social equity

Bibliographic Data

ID7172811
AuthorsCade Karrenberg (North Carolina State University), Eric C Edwards (0000-0002-0433-0635, University of California, Davis), Eric Edwards, Emily Zechman Berglund (0000-0001-9005-9468, North Carolina State University, corresponding author)
Year2026
Volume99
Pages102130
Publication date2026-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUtilities Policy (JOURNAL)
Journal identifiersISSN: 0957-1787 • E-ISSN: 1878-4356
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jup.2025.102130
OpenAlexW4417356057
LanguageEN
References cited46

Time-of-use (TOU) tariffs charge higher prices for water used during designated peak periods, encouraging users to shift their water use to off-peak periods. Research in electricity markets has shown that TOU tariffs can have adverse effects on households with low incomes or who lack access to technology, raising equity concerns. This research assesses the differential impact of TOU tariffs on heterogeneous water users using an agent-based modeling (ABM) approach. The ABM is applied to a case study to simulate the response of a community of water users to TOU tariffs and assess the equity impacts of the household cost of water under various scenarios. Findings suggest households with characteristics consistent with disadvantaged groups, including lower incomes, high density, and limited access to technology, may experience an increase in water costs under TOU rates

Intergenerational equity · Social equality · Water industry · Water Governance and Infrastructure · Water resources management and optimization · Water-Energy-Food Nexus Studies

  • Describing human decisions in agent-based models – ODD + D, an extension of the ODD protocol

    Birgit Müller, Friedrich J Bohn et al.•Environmental Modelling & Software•2013

  • Social Equity Matters in Payments for Ecosystem Services

    Unai Pascual, John Phelps et al.•BioScience•2014

  • Prime-time access for whom? Rhythms fairness and the dynamic pricing of infrastructure services

    Open Access•Mikko Jalas, Sini Numminen•Local Environment•2022

  • Mapping the link between outdoor water footprint and social vulnerability in Metro Phoenix, AZ (USA)

    Open Access•Jacob Napieralski, Catherine Sulich et al.•Landscape and Urban Planning•2022

  • Agent-based modeling to simulate the dynamics of urban water supply

    Open Access•Alireza Mashhadi Ali, M Ehsan Shafiee et al.•Sustainable Cities and Society•2017

  • Using a digital twin to explore water infrastructure impacts during the Covid-19 pandemic

    Open Access•Jorge E Pesantez, Faisal Alghamdi et al.•Sustainable Cities and Society•2022

  • Defeat the Peak

    Open Access•Bonnie Wylie Pratt, John D Erickson•Energy Research & Social Science•2019

  • Social equity implications of advanced water metering infrastructure

    Open Access•Miriam Solis, Samira Binte Bashar•Utilities Policy•2022

  • The case for state-level drinking water affordability programs

    Open Access•Gregory Pierce, Nicholas Chow et al.•Utilities Policy•2020

  • Customer complaint management and smart technology adoption by community water systems

    Open Access•Morgan DiCarlo, Emily Zechman Berglund et al.•Utilities Policy•2022

  • Water and poverty in the United States

    Open Access•James L Wescoat, Lisa Headington et al.•Geoforum•2007

Citation velocityhistorical
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae