The peri-urban interface (PUI) exhibits characteristic qualities of both urban and rural regions, and this complexity has meant that risk assessments and long-term planning for PUI are lagging, despite these areas representing new developing settlement frontiers. This study aims to address this knowledge gap by modifying an existing approach to quantify and assess flood risk. The risk triangle framework was used to map exposure, vulnerability and biophysical variables; however, in a novel application, the risk triangle framework was adapted by presuming that there is a variation in the degree of exposure, vulnerability and biophysical variables. Within Australia and globally, PUIs are often coastal, and flood risk associated with rainfall and coastal inundation poses considerable risk to communities in the PUI; these risks will be further exacerbated should projections of increasing frequency of extreme rainfall events and accelerating sea-level rise eventuate. An indicator-based approach using the risk triangle framework that maps flood hazard, exposure and vulnerability was used to integrate the biophysical and socio-economic flooding risk for communities in PUI of the St Georges Basin and Sussex Inlet catchments of south-eastern Australia. Integrating the flood risk triangle with future scenarios of demographic and climate change, and considering factors that contribute to PUI flood risk, facilitated the identification of planning strategies that would reduce the future rate of increase in flood risk. These planning strategies are useful for natural resource managers and land use planners across Australia and globally, who are tasked with balancing socio-economic prosperity for a changing population, whilst maintaining and enhancing ecosystem services and values. The indicator-based approach used in this study provides a cost-effective first-pass risk assessment and is a valuable tool for decision makers planning for flood risk across PUIs in NSW and globally.

城郊界面 (PUI) 展示了城市和农村地区的特征，这种复杂性意味着 PUI 的风险评估和长期规划是滞后的，尽管这些地区代表了新的发展定居点前沿。本研究旨在通过修改现有的量化和评估洪水风险的方法来解决这一知识差距。风险三角框架用于绘制暴露、脆弱性和生物物理变量；然而，在一个新颖的应用程序中，风险三角形框架是通过假设暴露程度、脆弱性和生物物理变量存在变化来调整的。在澳大利亚和全球范围内，PUI 通常位于沿海地区，与降雨和沿海洪水相关的洪水风险对 PUI 中的社区构成相当大的风险；如果对极端降雨事件频率增加和海平面加速上升的预测最终发生，这些风险将进一步加剧。一种基于指标的方法使用风险三角框架绘制洪水灾害、暴露和脆弱性，用于整合澳大利亚东南部圣乔治盆地和苏塞克斯湾流域 PUI 社区的生物物理和社会经济洪水风险。将洪水风险三角与人口和气候变化的未来情景相结合，并考虑导致 PUI 洪水风险的因素，有助于确定能够降低未来洪水风险增长率的规划策略。这些规划策略对澳大利亚和全球的自然资源管理者和土地使用规划者很有用，他们的任务是为不断变化的人口平衡社会经济繁荣，同时维持和增强生态系统服务和价值。本研究中使用的基于指标的方法提供了具有成本效益的首次通过风险评估，并且是决策者规划新南威尔士州和全球 PUI 洪水风险的宝贵工具。