Geospatial Intermodal Freight Transportation (GIFT) 2009 Rochester Institute of Technology

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Transcription:

Geospatial Intermodal Freight Transportation (GIFT)

Topics The problem: Trade-offs between the economic, environmental, and energy impacts of freight transportation Intermodal freight transportation can help address the problems GIFT enables trade-off case studies The GIFT model

The Problems

US Freight Transportation Emissions Freight accounts for 470 MMTCO 2 annually (7.8% total US CO 2 emissions) Contributes about 50% of NOx emissions and 40% of PM emissions from transportation sources (EPA) Freight Rail 8% Freight Air 9% Freight Marine (Domestic and International) 13% Freight Truck 70% Proportion of Carbon Emissions by Freight Type, 4 (US DOE, 7)

Goods Movement and GDP 4800 Ton-Miles v. GDP for the U.S. (1987-5) Ton-Miles (Billions) 4600 4400 4 4000 3800 3600 3400 3 For every trillion dollar increase in GDP, we expect an additional 242 billion ton-miles. 3000 6000 7000 8000 9000 10000 11000 10 GDP (Billions, 0$)

Carbon Comparisons by Mode 10,000 Mode gco 2 /tkm Truck 153 Rail 13 Ship (Dom.) 19 Gtkm/yr and TgCO2/yr 1,000 100 10 Air 1135 1 Truck Rail Ship (Domestic) Air Gtkm/yr TgCO2/yr Values in the above table are based on top-down analysis; emissions factors can change considerably based on specific cargo and mode characteristics. Data from the BTS, Special Release, Table 1-46b: http://www.bts.gov/publications/national_transportation_statistics/.

Research Questions What are the energy and environmental impacts of freight transportation? How do these impacts change: With modal choice? With changing infrastructure? With the use of new technologies in transit or at transfer facilities? GIFT is a model designed to address these questions

GIFT Projects Port-Generated Traffic Local Congestion; National Delays East Coast Freight Studies Which mode is preferred for least cost? for least time? for lowest emissions? Great Lakes GIFT Studies International Shipping Studies

Example: Study Trade-Offs in Great Lakes Region Least Cost Least Time Least CO 2 Primary Mode Ship Truck Rail Operating Cost ($) $240 $330 $290 Time (hrs) 15.5 6 15.5 CO2 (kg) 128 340 96 PM10 (g) 55 70 65 NOx (g) 4190 2210 2450 Study implications of policies such as carbon tax, feebates, etc. Study impact of infrastructure investment Study impact of key supply chain flows etc.

Useful for evaluating tradeoffs and running experiments for different input values (e.g., costs, speed, emissions). Can be helpful for determining green supply chain pathways. Great Lakes Case Primary Mode Ship Truck Rail Cost ($) 240 330 290 Time (hrs) 20 6 15 CO2 (kg) 115 340 95

Useful for exploring infrastructure and technology investment decisions. For example, we could look at varying time delays to mimic port expansion options. Great Lakes Case

The GIFT Model

Connect Multiple Transportation Mode Networks at Intermodal Transfer Facilities Road Network Rail Network Waterway Network Intermodal Transfer Facility

GIFT North American Network

Define Economic, Time, Energy and Environmental Costs of Traversing Each Network Segment Truck Segment Costs Distance Time Operating Cost Energy CO 2 NOx There is a cost (time, $, energy, environmental impact) associated with traversing each segment of the transportation network Costs are computed based on network information, user-input data, and external computations ESRI ArcGIS Network Analyst finds the least cost routes Allows trade-off studies of least time, least economic cost, least emissions, etc.

User-Specified Cost Factors Specify the vehicle and facility operational characteristics to use in a given analysis scenario

Integrated Emissions Factor Calculators Select from pre-defined vehicles Define and save new vehicles

Data Flow for GIFT Analysis Freight Transportation Data Transportation Network Geospatial Data Highways, Railroads, Waterways Multimodal transfer facilities Barriers and restrictions Scenario Configuration Data Network Configuration Barriers and restriction settings Optimization attributes Scenario Data Comparison and Analysis for Case Studies Vehicle and Facility Emissions and Operations Data Trucks, Trains, Ships Ports, Rail yards, Distribution centers Vehicle and Facility Selection and Characterization Geospatial Intermodal Freight Transportation (GIFT) Analysis Scenario Analysis Results Freight Flow Data Originations/ Destinations Volumes Freight Flow Selection and Characterization

Integrate International Trade Patterns with the Domestic Freight System

Mortality from Ship Emissions: A Global Assessment Cardiopulmonary mortality attributable to ship PM 2.5 emissions worldwide (Corbett, Winebrake, et al.)

Sustainable Supply Chain Research Intermodal system analyses that improve freight decisions through collaborative, innovative, data-driven transformative research to make the future of freight more sustainable. 8 J.J. Winebrake & J.J. Corbett

Conclusions Freight transportation is an essential enabler of a vibrant economy Freight transportation is a significant contributor to energy consumption and environment emissions Intermodal freight transportation provides opportunities to balance economic, energy, and environmental impacts of freight movement GIFT enables a rich analysis of the trade-offs and opportunities of intermodal freight transportation

Contact Information James Winebrake +1 585-475-4648 jwinebrake@mail.rit.ed u James Corbett +1 302-831-0768 jcorbett@cms.udel.ed u Scott Hawker +1 585-475-2705 hawker@mail.rit.edu RIT Laboratory for Environmental Computing and Decision Making http://lecdm.rit.edu