Institutions, Voids, and Dependencies

Tracing the Designs and Robustness of Urban Water Systems

Dados Bibliográficos

ID13138366
AutoresAaron Deslatte (0000-0001-5518-3949, University of Nevada, Reno, autor correspondente), Elizabeth A Koebele (0000-0001-9133-2710, University of Nevada, Reno), Lauren Bartels (University of Nevada, Reno), Adam Wiechman (0009-0001-1263-1251, University of Nevada, Reno), Sara Alonso Vicario (0000-0003-2481-1732, University of Nevada, Reno), Celeste Coughlin (University of Nevada, Reno), Desi Rybolt (University of Nevada, Reno)
Ano2023
Volume5
Fascículo2
Páginas180-222
Data de publicação2023-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Review of Public Policy (JOURNAL)
Identificadores do periódicoISSN: 2679-3873 • E-ISSN: 2706-6274
EditoraInternational Public Policy Association (PUBLISHER • FR)
DOI10.4000/irpp.3455
OpenAlexW4388143403
IdiomaEN
Citações recebidas4
Referências citadas62

Urban water systems across the United States are facing a variety of challenges to existing supply and demand dynamics. Responding to these challenges in complex socio-environmental systems (SES) requires integrating various types of information – ranging from hydrologic data to political considerations and beyond – into policy and management decisions. However, the design of institutions, i.e., the formal rules in which urban water utilities are embedded, impact the flow of information, especially across diverse actor groups critical to developing and implementing policy or programmatic responses to signal error. This study develops a Bayesian application of the Robustness of Coupled Infrastructure Systems (CIS) Framework to analyze how the institutional design of a major U.S. urban water system impacts information flow and, ultimately, the goal of resource-delivery robustness. We utilize process-tracing along with an institutional analysis approach called the Institutional Grammar Tool (IGT) to parse formal institutions into their semantic and syntactic components and assess how they may influence a system’s capacity to respond to changing stressors. Our findings have important implications for the (re)design of institutions that better facilitate information flow among key policy actors and support policy changes that promote sustainable long-term urban water supply

Business · Economics · Environmental resource management · Risk analysis (engineering · Robustness (evolution · Water supply · Complex Systems and Decision Making · Computer Science · Engineering · Water resources management and optimization