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Collecting Critical Data to Assess the Sustainability of Rural Infrastructure in Low-Income Countries

机译:收集关键数据以评估低收入国家农村基础设施的可持续性

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摘要

Rural water systems in low-income countries often fail to deliver potable water sustainably. Reasons include socio-economic, financial, and technical challenges that are specific to the community. Improved assessment methods are critical if decision makers want to provide sustainable solutions; however, to be useful, such methods require substantial data about the complex interaction between people, water, and infrastructure. Such interaction is affected by, and in turn, affects the behavior of community members regarding water usage, resources for infrastructure maintenance, and choice of assets. Unfortunately, much of these data are not readily available, in a large part because of the site-specific context associated with each rural community. Because of the difficulty and expense in obtaining site-specific data, it is important to identify the most critical needs for field studies versus the data that can be obtained from sources such as non-governmental organizations and the general literature. We examine this issue by first using an extensive data set from Malawi to identify the critical data needs. We then present several examples of field studies in Honduras and Uganda where we collected some of that critical data. Throughout, we discuss best practices for conducting and using focused field studies versus the general literature.
机译:低收入国家的农村供水系统通常无法持续提供饮用水。原因包括特定于社区的社会经济,财务和技术挑战。如果决策者希望提供可持续的解决方案,则改进的评估方法至关重要。然而,有用的方法是,此类方法需要有关人,水和基础设施之间复杂相互作用的大量数据。这种相互作用受社区成员在用水,基础设施维护资源和资产选择方面的行为的影响,进而影响社区成员的行为。不幸的是,其中许多数据并不容易获得,很大程度上是由于与每个农村社区相关的特定地点的环境。由于获取特定地点数据的困难和费用,重要的是要确定实地研究的最关键需求与可从非政府组织和一般文献等来源获得的数据。我们首先使用来自马拉维的大量数据集来确定关键数据需求,从而研究此问题。然后,我们介绍了在洪都拉斯和乌干达进行的一些田野研究的示例,我们在其中收集了一些关键数据。在整个过程中,我们将讨论进行和使用重点领域研究的最佳实践以及一般文献。

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