AI-Driven Adaptive Mobility for Resilient Transport in Flood-Prone Urban River Basins

Project Overview

Climate change intensifies extreme weather events such as heavy rainfall and flooding, disrupting mobility and transport infrastructure. This research addresses these challenges by creating community-led adaptive mobility plans that integrate flooding vulnerability directly into transportation models, assessing flood impacts based on rainfall, land use, and climate scenarios.

What You Will Do

You will develop innovative transport simulations incorporating flood depth, extent, and duration to identify vulnerable road segments and important mobility corridors. Combining digital mapping and local knowledge, the project will create dynamic evacuation routes for all road users, focusing on equitable access. The research requires expertise in transport engineering, operational research, programming, AI optimization, and interdisciplinary collaboration.

Expected Outcomes

The outcomes will include improved understanding of flood impacts on urban transport, adaptive mobility plans that enhance resilience, and actionable evacuation strategies to maintain accessibility during floods. The integration of climate data and transport models will contribute new methodological frameworks for resilient urban transport planning.

Why This Matters

Flooding severely impacts travel, public transport, and access to critical services, disproportionately affecting vulnerable populations. This research supports sustainable, resilient mobility in flood-prone urban areas, enhancing safety and equity. It aligns with global climate adaptation goals and contributes to urban transformation initiatives like Monash's Climate-Positive Cities cluster.