Li, M. T., Pinjari, A. R., Kamali, M., Luong, T., & Ozkul, S. (2016). GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flow. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/39552
Li, Min-Tang, Abdul R. Pinjari, Mohammadreza Kamali, Trang Luong, and Seckin Ozkul. GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flow. Florida Department of Transportation, 2016. https://rosap.ntl.bts.gov/view/dot/39552.
Li, Min-Tang, et al. GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flow. Florida Department of Transportation, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/39552.
This project investigated the use of truck-global positioning system (GPS) data to derive travel patterns of petroleum-tanker trucks delivering petroleum commodities from Port Everglades (PEV) to gas stations and other fuel recipients in South Florida. The travel patterns of focus are the trip-chaining patterns and the travel paths (i.e., routes) of tanker trucks from Port Everglades (PEV) to their final delivery points. To this end, two months of truck-GPS data available from the American Transportation Research Institute (ATRI) were utilized for the 12-county region served by Port Everglades, including Miami-Dade, Broward, Palm Beach, Monroe, Martin, St. Lucie, Indian River, Okeechobee, Glades, Hendry, Lee, and Collier Counties. The truck route choice data and trip-chaining patterns derived in this project were utilized within a larger project aimed at exploring innovative ways to collect and analyze petroleum flow data in and out of Port Everglades. In addition, the procedures and the data developed in the project offer significant opportunities to understand truck trip chaining and route choice behavior in urban regions.
Li, M. T., Pinjari, A. R., Kamali, M., Luong, T., & Ozkul, S. (2016). GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flow. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/39552
Li, Min-Tang, Abdul R. Pinjari, Mohammadreza Kamali, Trang Luong, and Seckin Ozkul. GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flow. Florida Department of Transportation, 2016. https://rosap.ntl.bts.gov/view/dot/39552.
Li, Min-Tang, et al. GPS Data for Truck-Route Choice Analysis of Port Everglades Petroleum Commodity Flow. Florida Department of Transportation, 2016, ROSA P. https://rosap.ntl.bts.gov/view/dot/39552.
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