Prospective Models for Water Service Demand and Price Analyses

Author:

del Villar Alberto,Melgarejo JoaquínORCID

Abstract

One way to address the practical challenges of the current problems of water services is through demand-side measures. These types of measures impact on demand through price changes or on water use control, considering that the impacts of these measures would be extremely useful in order to implement an adequate policy mix. One of the objectives of this paper is to show the possibilities of water management tools, particularly the use of prospective prices and demand models, in order to anticipate scarcity scenarios. This can best be done using better predictive models. Current computer tools provide a good basis for developing applications to perform prospective analysis on water prices and demand. Through simulation, we can try to optimize financial flows of costs and revenues based on the behavior of certain variables. This aims to find a better combination of price levels for urban water uses, making it possible to adjust the chargeback mechanisms, the level of cost recovery of investments, and the allocation between user types. This paper aims to show the advantages of these tools and illustrates its usefulness with a registered model that allows simulations of potential scenarios resulting from certain management measures.

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference32 articles.

1. El ciclo urbano del agua. Un nuevo modelo de sistema integral de gestión;Ehrenfried;Ideas Sosten.,2007

2. The effectiveness of water conservation measures on summer residential water use in Los Angeles, California

3. El coste energético de la desalinización en el programa AGUA;Villar;Investig. Geográficas,2014

4. Managing Water as an Economic Resource;Winpenny,1994

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3