In many urban settings around the world the severity of water scarcity has induced changes in household behavior, leading to reduction in the volume of water demanded. One of the most widely used strategies is the adoption of water-saving equipment that collects, stores and eventually treats wastewater from various sources within the household. This paper investigates the factors that drive adoption of water-saving equipment in Cape Town, South Africa, following the catastrophic “Day Zero” water crisis in 2018. First, the paper develops a disaggregated technology diffusion model. Second, we make use of choice experiments to determine the attribute levels and socioeconomic characteristics that influence adoption of water-saving equipment in urban communities in South Africa. Data collected from a sample of 465 representative households in Cape Town are used in a choice modelling framework. Latent class analysis (LCA) is compared with both multinomial logit and conditional logit models to estimate marginal willingness to pay (MWTP) for adoption of water-saving equipment. The LCA identified three household classes with distinct preferences, suggesting divergence in adoption of water-saving equipment.

在世界上许多城市环境中，缺水的严重程度已导致家庭行为发生变化，导致所需水量减少。使用最广泛的策略之一是采用节水设备，该设备可以收集，存储并最终处理家庭中各种来源的废水。在2018年灾难性的“零日”水危机之后，本文调查了驱动南非节水设备采用节水设备的因素。首先，本文建立了分类技术扩散模型。其次，我们利用选择实验来确定影响南非城市社区节水设备的采用的属性水平和社会经济特征。在选择建模框架中使用了从开普敦465个代表性家庭的样本中收集的数据。将潜在类别分析（LCA）与多项式Lo​​git模型和条件Logit模型进行比较，以估算采用节水设备的边际支付意愿（MWTP）。LCA确定了三个具有不同偏好的家庭类别，这表明节水设备的采用存在差异。