This research investigates how landslides disrupt New Zealand's road network. By analysing past landslides, linking landslide severity to road impacts, and combining these relationships with landslide forecasts, the project aims to predict future road closures, improve emergency planning, reduce community isolation, and enhance public safety during severe weather and earthquakes.

This research develops an algorithmic framework to proactively bundle small transportation projects, increasing contractor competition and reducing costs. Using a decade of Tennessee DOT data, it identifies optimal project groupings and flags combinations that reduce efficiency. Bundling improves value for agencies, contractors, and taxpayers, addressing significant waste in current procurement systems.