当前位置: X-MOL 学术J. Water Sanit. Hyg. Dev. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Understanding the costs of urban sanitation: towards a standard costing model
Journal of Water, Sanitation & Hygiene for Development ( IF 1.6 ) Pub Date : 2020-12-01 , DOI: 10.2166/washdev.2020.093
Tristano Sainati 1 , Fiona Zakaria 1 , Giorgio Locatelli 1 , P. Andrew Sleigh 1 , Barbara Evans 1
Affiliation  

There is a dearth of reliable cost data for urban sanitation. In the absence of high-quality global data, the full cost of sustainable implementation of urban sanitation remains uncertain. This paper proposes an approach for developing bespoke parametric cost estimation models for easy and reliable estimation of the costs of alternative sanitation technologies in a range of geographical contexts. A key requirement for the development of these models is the establishment of a large database of empirical information on the current costs of sanitation systems. Such a database does not currently exist. Two foundational tools are proposed. Firstly, a standard metric for reporting the costs of urban sanitation systems, total annualised cost per household. Secondly, a standardised approach to the collection of empirical cost data, the Novel Ball-Park Reporting Approach (NBPRA). Data from the NBPRA are presented for 87 individual sanitation components from 25 cities in 10 countries. Broad cost ranges for different archetypal systems have been estimated; these currently have high levels of uncertainty. Further work is proposed to collect additional data, build up the global database, and develop parametric cost estimation models with higher reliability.



中文翻译:

了解城市卫生成本:建立标准成本模型

缺乏用于城市卫生的可靠成本数据。在缺乏高质量的全球数据的情况下,可持续实施城市卫生的全部成本仍然不确定。本文提出了一种开发量身定制的参数成本估算模型的方法,以便在一系列地理环境中轻松可靠地估算替代卫生技术的成本。开发这些模型的关键要求是建立有关卫生系统当前成本的大量经验信息数据库。这样的数据库当前不存在。提出了两种基本工具。首先,一个报告城市卫生系统成本的标准指标,即每个家庭的年度总成本。其次,采用标准化方法来收集经验成本数据,新颖的球场报告方法(NBPRA)。NBPRA提供了来自10个国家/地区的25个城市的87个单独卫生组件的数据。估计了不同原型系统的广泛成本范围;这些目前具有高度的不确定性。提出了进一步的工作,以收集更多的数据,建立全局数据库,并开发具有更高可靠性的参数成本估算模型。

更新日期:2020-12-27
down
wechat
bug