The relative scarcity of water resources has encouraged cities to create mechanisms to control water demand and avoid water stress. In the decision-making process, water companies need to assess the price influence on water demand predictions to design better policies. The aim of this study is to estimate the medium-term effectiveness of the implementation of a contingent tariff and its consequences for water demand elasticity to price. A novel model that requires only secondary data is proposed, that can be useful for guiding the drought planning process. The methodology consists of a framework that provides monthly predictions of water demand at the household level, considering price, seasonality, and previous water use. The results indicated that the contingent tariff promoted a reduction of 11–17% in water demand, but at a higher cost for low income households. Also, reduction in water demand was found …
%0 Journal Article
%1 carvalho2021datadriven
%A Carvalho, Taís Maria Nunes
%A de Assis de Souza Filho, Francisco
%D 2021
%I Elsevier
%J Environmental Challenges
%K imported topic_earthenvironment
%P 100033
%T A data-driven model to evaluate the medium-term effect of contingent pricing policies on residential water demand
%V 3
%X The relative scarcity of water resources has encouraged cities to create mechanisms to control water demand and avoid water stress. In the decision-making process, water companies need to assess the price influence on water demand predictions to design better policies. The aim of this study is to estimate the medium-term effectiveness of the implementation of a contingent tariff and its consequences for water demand elasticity to price. A novel model that requires only secondary data is proposed, that can be useful for guiding the drought planning process. The methodology consists of a framework that provides monthly predictions of water demand at the household level, considering price, seasonality, and previous water use. The results indicated that the contingent tariff promoted a reduction of 11–17% in water demand, but at a higher cost for low income households. Also, reduction in water demand was found …
@article{carvalho2021datadriven,
abstract = {The relative scarcity of water resources has encouraged cities to create mechanisms to control water demand and avoid water stress. In the decision-making process, water companies need to assess the price influence on water demand predictions to design better policies. The aim of this study is to estimate the medium-term effectiveness of the implementation of a contingent tariff and its consequences for water demand elasticity to price. A novel model that requires only secondary data is proposed, that can be useful for guiding the drought planning process. The methodology consists of a framework that provides monthly predictions of water demand at the household level, considering price, seasonality, and previous water use. The results indicated that the contingent tariff promoted a reduction of 11–17% in water demand, but at a higher cost for low income households. Also, reduction in water demand was found …},
added-at = {2024-11-29T11:56:28.000+0100},
author = {Carvalho, Taís Maria Nunes and de Assis de Souza Filho, Francisco},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/204232756f7a633007fe9972112effba9/joum576e},
citation = {Environmental Challenges 3, 100033, 2021},
interhash = {73e32faa6a61e47328e4b96c73963da1},
intrahash = {04232756f7a633007fe9972112effba9},
journal = {Environmental Challenges},
keywords = {imported topic_earthenvironment},
pages = 100033,
publisher = {Elsevier},
timestamp = {2024-11-29T11:56:28.000+0100},
title = {A data-driven model to evaluate the medium-term effect of contingent pricing policies on residential water demand},
volume = 3,
year = 2021
}
