Urban planning for reverse migration after automation for low-income communities
open
Italy, Europe
WS04823
Automation could eliminate jobs in some regions while creating new opportunities elsewhere, reversing long-standing urbanization patterns. Cities need adaptable housing, education, transport, and fiscal systems for population movement that is difficult to forecast. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.