A Comparative Analysis of Urban Water Governance Networks in the Tehran Metropolis) Case Study: Districts 4, 10, and 22(

Introduction
The persistent water crisis in the Tehran Metropolis is not merely a technical issue but a profound reflection of complex governance deficiencies within its socio-hydrological system. Rapid urban population growth, fragmented management structures, and unsustainable resource exploitation have placed the capital's water supply under severe pressure. This critical situation necessitates a crucial shift from the traditional, hierarchical, and centralized state-centric management model, - which has demonstrably weakened system flexibility and resilience - toward a networked and participatory governance approach. Water governance is defined as the systemic arrangement of political, social, and administrative mechanisms that influence resource allocation and sustainability. Resilience, in this context, serves as a key indicator of the socio-hydrological system's capacity to absorb and recover from shocks like water scarcity. Prior domestic and international studies have consistently identified a dominant centralized and uncoordinated regime in Iran's water sector, characterized by high concentration of power and low network density. This structure fundamentally lacks the cohesion needed to manage uncertainty, standing in stark contrast to the desirable polycentric regime, which is characterized by distributed power and high cooperation. The primary objective is to fill the critical gap in quantitative, comparative analysis of governance structures at the local and regional scale within the city. This study specifically seeks to analyze and compare the urban water governance network across three distinct Tehran districts (4, 10, and 22)—chosen for their varying structural and demographic contexts—to identify the dominant governance regime, key actors, and the structure of their cooperative relationships. This quantitative assessment provides an operational roadmap for improving network cohesion and enhancing the overall institutional and urban resilience.
Methodology
The research focused on three districts within the Tehran Metropolis, each representing a unique physical and demographic profile for a comparative analysis: District 4 (East Tehran, high population, mixed urban fabric), District 10 (Central Tehran, highest gross population density, concentrated and deteriorated urban fabric), and District 22 (West Tehran, lowest population density, modern structure, and new infrastructure). The study employed a whole network approach by identifying 24 key organizational stakeholders involved in multi-level water governance - spanning the provincial, city, and district levels - through expert consultation and official documentation. The core data, representing cooperation and information exchange ties, was collected via a specialized organizational social relations questionnaire using a five-point Likert scale. The raw data was converted into binary matrices (0 and 1) and analyzed utilizing Social Network Analysis (SNA) software. Key SNA metrics, including density, centralization, reciprocity, and various centrality measures - degree, betweenness, and structural holes - were calculated at the macro-level (network) and micro-level (actor) to diagnose the governance regime and identify strategic actors. The governance regime for each district was determined by plotting the network's density (cooperation level) against its centralization (power distribution) based on the established two-dimensional framework.
Findings
The SNA results reveal a consistent structure across the three distinct urban settings, confirming that the Fragmented Regime is dominant in all surveyed districts. Macro-level findings indicate that all three networks fall into the quadrant defined by low-to-medium density (ranging from 28.60% to 46.4%) and medium-low power concentration (30.60% to 44.90%). This configuration indicates that while power is not exclusively centralized, the pervasive lack of network cohesion and cooperation prevents the system from developing an efficient, unified response to the water crisis. The low-density values, particularly in District 4 (28.60%), highlight significant missed opportunities for effective collaboration and information sharing, directly undermining the organizational capacity for comprehensive crisis management. A striking difference was found in Reciprocity: Districts 10 and 22 exhibit high mutual ties (62.5% and 70%), suggesting established bilateral working relationships. However, District 4's extremely low reciprocity (33.33%) reveals a prevalence of one-way, information-centric communication and a severe weakness in mutual trust and collaborative decision-making. At the micro-level, the analysis confirms the formation of a network core. The three most influential organizations in all districts are consistently the District Municipality, the Water and Wastewater Company (Abfa), and the Municipal Crisis Management Office. These core actors possess the highest scores for Degree Centrality (high activity) and Betweenness Centrality (vital mediation role). Specifically, they also hold the highest Structural Hole scores, confirming their critical function in bridging communication gaps and controlling information flow. Conversely, several organizations, notably the Universities and Hospitals, are identified as isolated nodes with zero key centrality scores, indicating their minimal involvement in the water governance network's core cooperation and information exchange.
Conclusion
The comparative analysis unequivocally demonstrates that the urban water governance in Tehran's Districts 4, 10, and 22 operates under a Fragmented Regime. This structure, marked by insufficient cohesion and coordination, severely compromises the socio-hydrological system's ability to achieve high institutional and operational resilience against water crises. The observed fragmentation and low reciprocity suggest that the system is prone to sectional approaches and lacks the flexibility and collective response capacity required for adaptation. A successful transformation from this fragmented state to an efficient polycentric governance model necessitates targeted interventions focused on strengthening network ties and capitalizing on the brokerage potential of key actors. Urban managers must prioritize establishing permanent, multi-level platforms for joint decision-making and knowledge exchange to foster operational coordination and build mutual trust. The strategic brokerage function of the Abfa (Water Company) in District 10 and the Municipalities in Districts 4 and 22 should be formally recognized and empowered to proactively connect isolated stakeholders and bridge structural holes, thereby facilitating the flow of knowledge and resources. Furthermore, organizations with high knowledge capital and social capacity, such as universities and medical centers, should be actively integrated into the core network through specialized, joint projects. This integration will increase the network's capacity for learning and adaptation. Finally, given the high population density and degraded urban fabric of District 10, immediate structural priority should be given to strengthening horizontal ties and operational coordination in this particularly vulnerable area to mitigate the risks associated with water poverty and urban flooding. By focusing on these network-centric interventions, the Tehran water governance system can strategically overcome its structural deficiencies, enhance network cohesion, and transition toward a more robust, adaptive, and resilient polycentric model.