An optimization model of energy and transportation systems: Assessing the high-speed rail impacts in the United States |
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| Institution: | 1. Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50014, USA;2. Department of Civil and Environmental Engineering, University of Maryland, College Park, MD 20742, USA;3. Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA;1. Sol Price School of Public Policy, University of Southern California, USA;2. School of Policy, Government, and International Affairs, George Mason University, USA;1. School of Economics and Management, Tongji University, Shanghai, 200092, China;2. School of Business, Jinggangshan University, Ji''an, Jiangxi, 343009, China;3. Party School, Yongfeng County, Ji''an, Jiangxi, 331500, China;1. City and Regional Planning, Knowlton School of Architecture, The Ohio State University, 275 West Woodruff Avenue, Columbus, OH 43210, USA;2. Institute of Policy and Management, Chinese Academy of Sciences, No.15 ZhongGuanCunBeiYiTiao Alley, Haidian District, Beijing 100190, China;3. Sol Price School of Public Policy, University of Southern California, 3710 McClintock Ave, Los Angeles, CA 90089, USA;4. School of Policy, Government and International Affairs, George Mason University, 3351 Fairfax Drive, Arlington, VA 22201, USA;1. Urban Studies and Political Science, Simon Fraser University, 2124-515 West Hastings Street, Vancouver, BC V6B 5K3, Canada;2. Department of Geography & the Environment, University of Denver, 2050 E. Iliff Ave., Denver, CO 80208, USA;1. Department of Computer, Control and Management Engineering, Sapienza Università di Roma, Via Ariosto 25, Roma, Italy;2. Asper School of Business, University of Manitoba, 181 Freedman Crescent, Winnipeg, Canada;1. Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hong Kong;2. Asia-Pacific School of Logistics, Inha University, Incheon, South Korea;3. Graduate School for International Development and Cooperation, Hiroshima University, Japan;4. Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver, BC V6T 1Z2, Canada;5. China Academy of Financial Research, Shanghai Jiao Tong University, China |
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| Abstract: | This paper presents a long-term investment planning model that co-optimizes infrastructure investments and operations across transportation and electric infrastructure systems for meeting the energy and transportation needs in the United States. The developed passenger transportation model is integrated within the modeling framework of a National Long-term Energy and Transportation Planning (NETPLAN) software, and the model is applied to investigate the impact of high-speed rail (HSR) investments on interstate passenger transportation portfolio, fuel and electricity consumption, and 40-year cost and carbon dioxide (CO2) emissions. The results show that there are feasible scenarios under which significant HSR penetration can be achieved, leading to reasonable decrease in national long-term CO2 emissions and costs. At higher HSR penetration of approximately 30% relative to no HSR in the portfolio promises a 40-year cost savings of up to $0.63 T, gasoline and jet fuel consumption reduction of up to 34% for interstate passenger trips, CO2 emissions reduction by about 0.8 billion short tons, and increased resilience against petroleum price shocks. Additionally, sensitivity studies with respect to light-duty vehicle mode share reveal that in order to realize such long-term cost and emission benefits, a change in the passenger mode choice is essential to ensure higher ridership for HSR. |
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| Keywords: | National infrastructure planning Energy and transportation infrastructure optimization Multimodal passenger transportation High-speed rail Sustainability Resilience |
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