The COVID-19 lockdown has instigated significant changes in household behaviours across a variety of categories including water consumption, which in the south and east regions of England is at an all-time high. We analysed water consumption data from 11,528 households over 20 weeks from January 2020, revealing clusters of households with distinctive temporal patterns. We present a data-driven household water consumer segmentation characterising households’ unique consumption patterns and we demonstrate how the understanding of the impact of these patterns of behaviour on network demand during the COVID-19 pandemic lockdown can improve the accuracy of demand forecasting. Our results highlight those groupings with the highest and lowest impact on water demand across the network, revealing a significant quantifiable change in water consumption patterns during the COVID-19 lockdown period. The implications of the study to urban water demand forecasting strategies are discussed, along with proposed future research directions.

In response to the pressing need for effective implementation of the Circular Economy (CE), this research introduces a comprehensive theoretical framework for CE roadmapping. This study addresses the prevalent issue of fragmented and inconsistent CE strategies that often hinder the successful translation of long-term goals into achievable KPIs. Through a carefully designed methodology, this framework incorporates strategic management, systems thinking, sustainability science, and other disciplines, providing a structured approach to navigating the complexities of long-term planning for CE. The foundation for this framework is laid through an extensive review of the literature, which identifies theoretical gaps and guides its development. Practical insights are gained through an examination of various CE roadmaps, including sectoral, municipal, national, and regional strategies, thereby enhancing this framework’s applicability and robustness. This research highlights substantial variations in current CE roadmapping methods, emphasizing the need for a standardized approach. While acknowledging limitations due to the diverse contexts of the case studies, this study offers significant implications for policymakers, business leaders, and sustainability practitioners by presenting a versatile tool for strategic CE planning. Its interdisciplinary construction mirrors the multifaceted nature of CE, rendering it exceptionally adaptable across various disciplines and levels, reflecting the diverse reality of CE applications.

This study examines the evolving consumer-brand dynamics within Saudi Arabia, particularly focusing on the integration of sustainability into consumer preferences and brand loyalty. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) and non-parametric statistical methods, this research is anchored in Consumer Culture Theory (CCT) and Self-Congruence Theory, exploring how brand personality and consumer self-congruence influence sustainable consumption behaviors and the adoption of circular economy practices among Saudi consumers. The findings reveal a significant correlation between brand loyalty and sustainable purchase decisions, underscoring the pivotal role of brand identity in fostering eco-conscious consumer choices. Additionally, the research highlights a nuanced landscape of brand loyalty, where attributes, such as social responsibility, though currently less influential, present opportunities for brands to align more closely with consumer values and national sustainability goals. The study also identifies demographic factors, such as age and income level, as significant influencers of sustainable purchasing decisions. This study provides insights into the generational shift towards environmental awareness and the implications for businesses and policymaking within the context of Saudi Arabia’s Vision 2030.