{"id":14245,"date":"2023-02-08T09:47:27","date_gmt":"2023-02-08T15:47:27","guid":{"rendered":"https:\/\/www.arch.tamu.edu\/?p=14245"},"modified":"2023-02-09T10:52:08","modified_gmt":"2023-02-09T16:52:08","slug":"urban-planning-professor-heads-new-digital-lab-to-test-growth-and-natural-hazard-scenarios","status":"publish","type":"post","link":"https:\/\/www.arch.tamu.edu\/news\/2023\/02\/08\/urban-planning-professor-heads-new-digital-lab-to-test-growth-and-natural-hazard-scenarios\/","title":{"rendered":"Urban planning professor heads new, digital lab to test growth and natural hazard scenarios"},"content":{"rendered":"\n
An era of \u201cbig data\u201d related to urban infrastructure is well underway. Scholars in a new lab at Texas A&M are creating digital \u201ctwins\u201d \u2014 models of cities and regions \u2014 to test existing and future scenarios for urban planning methods that foster efficient urban growth and resilience to hurricanes, flooding and other natural hazards.<\/p>\n\n\n\n
In the Texas A&M Institute of Data Science Design & Analytics Lab for Urban Artificial Intelligence<\/a>, led by Xinyue Ye, the Adams Endowed Associate Professor of Urban Planning, scholars will also develop and support public, open-source software that can be used by urban planners to increase communities\u2019 infrastructure efficiency and resilience to natural hazards.<\/p>\n\n\n\n