Gaps in understanding what influences household water consumption have led water providers failing to convince customers to report sustainable practices. To this end, this study aimed to answer the question, ‘How do social and cultural factors influence water consumption in urban areas?’ The response to this issue has been identified through an investigation that involved a group of selected factors, whose analysis was based on collected survey data from participants in Lagos-Nigeria, Salvador-Brazil, Sao Paulo-Brazil, London-UK and Los Angeles-USA. The capability–opportunity–motivation–behaviour model was used as a data analysis framework to identify influences. The investigation revealed that motivation is the most reported driver of water consumption. In a scale from 0 (lowest) to 5 (highest), this component presented the highest scores in Lagos (3.93), Salvador (4.13), Sao Paulo (3.88), London (4.13) and Los Angeles (3.59). The capability dimension had the second-highest weight in Lagos, Salvador, Sao Paulo and Los Angeles, with scores of 2.80, 3.60, 3.60 and 3.20, respectively. Participants from London have opportunity (score = 2.88) as the second influential pillar in water consumption. These findings are aimed at helping to best drive water-saving practices by gaining insight into factors underpinning water consumption in a structured manner.

中文翻译：

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行为因素对城市地区家庭用水量的影响

在了解影响家庭用水量的因素方面存在差距，导致供水商未能说服客户报告可持续做法。为此，本研究旨在回答“社会和文化因素如何影响城市地区的用水量？”这个问题。通过一项涉及一组选定因素的调查确定了对此问题的回应，其分析基于从拉各斯-尼日利亚、萨尔瓦多-巴西、圣保罗-巴西、伦敦-英国和洛杉矶的参与者收集的调查数据-美国。能力-机会-动机-行为模型被用作识别影响的数据分析框架。调查显示，动机是报告最多的用水量驱动因素。在从 0（最低）到 5（最高）的范围内，该部分在拉各斯 (3.93)、萨尔瓦多 (4.13)、圣保罗 (3.88)、伦敦 (4.13) 和洛杉矶 (3.59) 得分最高。能力维度在拉各斯、萨尔瓦多、圣保罗和洛杉矶的权重第二高，得分分别为 2.80、3.60、3.60 和 3.20。来自伦敦的参与者有机会（得分 = 2.88）成为影响用水量的第二大支柱。这些发现旨在通过以结构化的方式深入了解支撑用水量的因素，从而帮助最好地推动节水实践。88) 成为影响用水量的第二大支柱。这些发现旨在通过以结构化的方式深入了解支撑用水量的因素，从而帮助最好地推动节水实践。88) 成为影响用水量的第二大支柱。这些发现旨在通过以结构化的方式深入了解支撑用水量的因素，从而帮助最好地推动节水实践。