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Should State Land In Southern California Be Allocated To Warehousing Goods Or Housing People? Analyzing Transportation, Climate, And Unintended Consequences Of Supply Chain Solutions, Tianjun Lu, Jian-Yu Ke, Azure Fisher, Mahmoud Salari, Patricia Valladolid, Fynnwin Prager
Should State Land In Southern California Be Allocated To Warehousing Goods Or Housing People? Analyzing Transportation, Climate, And Unintended Consequences Of Supply Chain Solutions, Tianjun Lu, Jian-Yu Ke, Azure Fisher, Mahmoud Salari, Patricia Valladolid, Fynnwin Prager
Mineta Transportation Institute
In response to COVID-19 pandemic supply chain issues, the State of California issued Executive Order (EO) N-19-21 to use state land to increase warehousing capacity. This highlights a land-use paradox between economic and environmental goals: adding warehouse capacity increases climate pollution and traffic congestion around the ports and warehouses, while there is a deficit of affordable housing and high homeless rates in port-adjacent underserved communities. This study aims to inform regional policymakers and community stakeholders about these trade-offs by identifying current and future supply of and demand for warehousing and housing in Southern California through 2040. The study uses statistical …
Attention-Based Data Analytic Models For Traffic Flow Predictions, Kaushal Kumar, Yupeng Wei
Attention-Based Data Analytic Models For Traffic Flow Predictions, Kaushal Kumar, Yupeng Wei
Mineta Transportation Institute
Traffic congestion causes Americans to lose millions of hours and dollars each year. In fact, 1.9 billion gallons of fuel are wasted each year due to traffic congestion, and each hour stuck in traffic costs about $21 in wasted time and fuel. The traffic congestion can be caused by various factors, such as bottlenecks, traffic incidents, bad weather, work zones, poor traffic signal timing, and special events. One key step to addressing traffic congestion and identifying its root cause is an accurate prediction of traffic flow. Accurate traffic flow prediction is also important for the successful deployment of smart transportation …