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Keywords = water demand management (WDM)

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28 pages, 28057 KiB  
Article
Sustainable Water Policymaking for the Hotel Industry: A Longitudinal Network Analysis of Policy Documents
by Xiao Hu, Tianyu Ying, Brent Lovelock and Sarah Mager
Sustainability 2023, 15(22), 15890; https://doi.org/10.3390/su152215890 - 13 Nov 2023
Cited by 1 | Viewed by 3302
Abstract
Safeguarding water resources in tourism contributes to the achievement of the United Nations Sustainable Development Goals (SDGs) and to the wider 2030 Agenda for Sustainable Development. However, sustainable management of water, in order to address both current and future demand for water resources [...] Read more.
Safeguarding water resources in tourism contributes to the achievement of the United Nations Sustainable Development Goals (SDGs) and to the wider 2030 Agenda for Sustainable Development. However, sustainable management of water, in order to address both current and future demand for water resources in an equitable and environmentally sound manner, is one of the most significant challenges faced by tourist destinations. Using a case study approach, this research conducts a social network analysis (SNA) of the water policymaking system of Singapore’s hotel industry by longitudinally examining the structure of relations among policy themes and policy stakeholders. The network approach attempts to examine the structural evolution in the water demand management (WDM) policy network based on an analysis of 329 (co)produced policy documents (2001–2020) available in the public domain. A broad range of policy themes, together with divergent policy stakeholders, are uncovered in this interconnected dynamic policy system. Subsequently, systematic policy research is extended to discuss the interrelationships of policy stakeholders and policy themes over the past 20 years. Our findings highlight the network structure of the policy domain and suggest an openness and vibrancy of sustainable WDM as an interdisciplinary policy domain. Cross-sectoral stakeholder engagement has contributed to the evolution and complexity of the policy theme network. The study’s findings provide significant insights into the relationships of policy actors and the evolving network structure of a multidimensional policy framework. Full article
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17 pages, 539 KiB  
Article
Water Consumption Range Prediction in Huelva’s Households Using Classification and Regression Trees
by Gustavo Bermejo-Martín, Carlos Rodríguez-Monroy and Yilsy M. Núñez-Guerrero
Water 2021, 13(4), 506; https://doi.org/10.3390/w13040506 - 15 Feb 2021
Cited by 8 | Viewed by 2992
Abstract
This paper uses the numerical results of surveys sent to Huelva’s (Andalusia, Spain) households to determine the degree of knowledge they have about the urban water cycle, needs, values, and attitudes regarding water in an intermediary city with low water stress. In previous [...] Read more.
This paper uses the numerical results of surveys sent to Huelva’s (Andalusia, Spain) households to determine the degree of knowledge they have about the urban water cycle, needs, values, and attitudes regarding water in an intermediary city with low water stress. In previous research, we achieved three different households’ clusters. The first one grouped households with high knowledge of the integral water cycle and a positive attitude to smart devices at home. The second cluster described households with low knowledge of the integral water cycle and high sensitivity to price. The third one showed average knowledge and predisposition to have a closer relationship with the water company. This paper continues with this research line, applying Classification and Regression Trees (CART) to determine which hierarchy of variables/factors/independent components obtained from the surveys are the decisive ones to predict the range of household water consumption in Huelva. Positive attitudes towards improved cleaning habits for personal or household purposes are the highest hierarchy component to predict the water consumption range. Second in the hierarchy, the variable Knowledge Global Score about the integral urban water cycle, associated with water literacy, also contributes to predicting the water consumption range. Together with the three clusters obtained previously, these results will allow us to design water demand management strategies (WDM) fit for purpose that enable Huelva’s households to use water more efficiently. Full article
(This article belongs to the Special Issue Failure Risk Assessment in Water Supply System)
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