2013 Session: 321

• Multientity Perspective Freight Demand Modeling Technique: Varying Objectives and Outcomes
  Abstract: The importance of freight transportation modeling and forecasting to better address planning and policy issues, ranging from general and long-range planning and project prioritization to modal diversion and economic assessment, is well recognized by policy makers. Compared to advancement in travel demand modeling for passenger travel, however, current freight demand modeling methods are not yet in the adequate levels to assess increasingly complex and important planning and policy issues. Besides firms generating and consuming commodities, the three most important players in freight demand modeling are (a) the shippers, (b) the planners, and (c) policy (decision) makers. The objective of each player is different as it is geared towards attainment of respective objective. Past research is limited in proposing a unified methodology to address the objective of each player and to assess performance of transportation networks under conditions to achieve such objectives. In this paper, freight demand modeling is designed to address each objective of three players in a multimodal transportation network. A freight transportation model that combines three geographic scales—national, state, and local—is proposed and developed to capture different characteristics of short- and long-distance freight flows subjected to stochastic networks (when network conditions vary by time of day) and uncertain market conditions (when freight demand vary by objective of the player), with a focus on the state-level modeling in Maryland. Data for the model include freight flows by commodity and by Freight Analysis Framework (FAF) zone, which are further disaggregated to Statewide Modeling Zones in Maryland; a transportation network with detailed link level attributes; user costs in addition to all details needed for auto travel demand model. The model is captured in a multi-class user equilibrium traffic assignment. The results demonstrate the network performance and key information on travel characteristics for each player. The proposed tool can be used for freight travel demand modeling for analyzing impacts of policies at state, county and local levels.
  Authors: Mishra, Sabyasachee; Iseki, Hiroyuki; Moeckel, Rolf
  Authors: Mishra, Sabyasachee; Iseki, Hiroyuki; Moeckel, Rolf
  Year: 2013
  Document Type: Paper
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-0376
• Quantifying Truck Delay on Interstates in Georgia
  Abstract: This paper advances the state-of-the-practice in public sector freight transportation performance measurement, with implications for freight policy and planning. The research transcends anecdotal observations of congestion by presenting a methodology to quantify freight delay at a scale simultaneously detailed and statewide in scope.Combined volume and speed data specific to trucks and on a statewide basis are not commonly available. This study presents a method used in Georgia to combine truck volume and speed data from separate sources to quantify truck delay. In 2010, the American Transportation Research Institute (ATRI) conducted a truck speed study on Georgia Interstates. Within one-mile segments, ATRI calculated weekday average speeds by time-of-day based on truck global positioning system traces. The truck volumes were obtained from a database of the State Traffic and Report Statistics (STARS) from the Georgia Department of Transportation.Trucks experienced approximately 7,600 hours of delay per day on Georgia’s Interstates. Trucks were delayed more in the afternoon peak period than the morning peak period. The vast majority (76%) of that delay occurred in the Atlanta region, and a large portion (45%) of the statewide truck delay occurred in Atlanta’s afternoon peak period. The hours of truck delay were also quantified for specific chronically congested corridors and bottlenecks. This approach can be repeated to establish an annual record of truck delay to target and subsequently measure the impacts of future investments. The method may also be extended to other states and roadway types.
  Authors: Zuehlke, Kai; Pierce, David
  Authors: Zuehlke, Kai; Pierce, David
  Year: 2013
  Document Type: Paper
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-0590
• Transferability of Freight Trip Generation Models
  Abstract: The main objective of this paper is to assess transferability of freight trip generation (FTG) models estimated for different industry sectors and geographies. After presenting the key premises that should guide the development of FTG models, the paper assesses transferability in two different ways. The first one is through the analyses of how well representative FTG models are able to estimate the FTG at a number of (external) validation cases. The second one is through FTG econometric models that assess the statistical significance of binary variables that represent specific geographic locations. The paper also introduces a synthetic correction procedure intended to improve the transferability and quality of the estimates provided by the constant FTG model.
  Authors: Holguín-Veras, Jose; Sanchez, Ivan; Lawson, Catherine Theresa; Jaller, Miguel Angel; Campbell, Shama; Levinson, Herbert S.; Shin, Hyeon-Shic
  Authors: Holguín-Veras, Jose; Sanchez, Ivan; Lawson, Catherine Theresa; Jaller, Miguel Angel; Campbell, Shama; Levinson, Herbert S.; Shin, Hyeon-Shic
  Year: 2013
  Document Type: Paper
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-2136
• Methodology for Estimating Ton-miles of Goods Movements for U.S. Freight Multimodal Network System
  Abstract: Ton-miles is a commonly used measure of freight transportation output. Estimation of ton-miles in the U.S. transportation system requires freight flow data at disaggregated level (either by link flow, path flows or origin-destination flows between small geographic areas). However, the sheer magnitude of the freight data system as well as industrial confidentiality concerns in Census survey, limit the freight data which is made available to the public.Through the years, the Center for Transportation Analysis (CTA) of the Oak Ridge National Laboratory (ORNL) has been working in the development of comprehensive national and regional freight databases and network flow models. One of the main products of this effort is the Freight Analysis Framework (FAF), a public database released by the ORNL. FAF provides to the general public a multidimensional matrix of freight flows (weight and dollar value) on the U.S. transportation system between states, major metropolitan areas, and remainder of states. Recently, the CTA research team has developed a methodology to estimate ton-miles by mode of transportation between the 2007 FAF regions. This paper describes the data disaggregation methodology. The method relies on the estimation of disaggregation factors that are related to measures of production, attractiveness and average shipments distances by mode service. Production and attractiveness of counties are captured by the total employment payroll. Likely mileages for shipments between counties are calculated by using a geographic database, i.e. the CTA multimodal network system. Results of validation experiments demonstrate the validity of the method. Moreover, 2007 FAF ton-miles estimates are consistent with the major freight data programs for rail and water movements.
  Authors: Oliveira Neto, Francisco Moraes; Chin, Shih-Miao; Hwang, Ho-Ling
  Authors: Oliveira Neto, Francisco Moraes; Chin, Shih-Miao; Hwang, Ho-Ling
  Year: 2013
  Document Type: Paper
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-4963
  Practice-Ready: Yes
• Evaluation of Smart Phone Weight-Mile Tax Truck Data for Supporting Freight Modeling, Performance Measures, and Planning
  Abstract:

  Oregon is one of the few states that currently charge a commercial truck weight-mile tax (WMT). This research serves to evaluate ancillary applications for a system developed by the Oregon Department of Transportation (ODOT) to simplify WMT collection. The data collection system developed by ODOT – TRUE (Truck Road Use Electronics) – includes a smart phone application with a Global Positioning System (GPS) device and microprocessor. The TRUE data has enormous advantages over GPS data used in previous research due to its level of disaggregation and its potential to differentiate between vehicle and commodity types. This research evaluates the accuracy of the TRUE data and demonstrates the results of its application to develop trip generation rates for a variety of truck types and land use categories. This research also confirms the value of the TRUE data to enhance existing ODOT transportation planning models and performance measures.

  Authors: Bell, Katherine E.; Figliozzi, Miguel
  Authors: Bell, Katherine E.; Figliozzi, Miguel
  Year: 2013
  Document Type: Paper
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-3994
• Multientity Perspective Freight Demand Modeling Technique: Varying Objectives and Outcomes
  Authors: Mishra, Sabyasachee
  Authors: Mishra, Sabyasachee
  Year: 2013
  Document Type: Presentation
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-0376
• Quantifying Truck Delay on Interstates in Georgia
  Authors: Zuehlke, Kai
  Authors: Zuehlke, Kai
  Year: 2013
  Document Type: Presentation
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-0590
• Transferability of Freight Trip Generation Models
  Authors: Sanchez-Diaz, Ivan
  Authors: Sanchez-Diaz, Ivan
  Year: 2013
  Document Type: Presentation
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-2136
• Evaluation of Smart Phone Weight-Mile Tax Truck Data for Supporting Freight Modeling, Performance Measures, and Planning
  Authors: Bell, Katherine
  Authors: Bell, Katherine
  Year: 2013
  Document Type: Presentation
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-3994
• Methodology for Estimating Ton-miles of Goods Movements for U.S. Freight Multimodal Network System
  Authors: Oliveira Neto, Francisco
  Authors: Oliveira Neto, Francisco
  Year: 2013
  Document Type: Presentation
  Subject: Freight Transportation; Planning and Forecasting
  Session: 321
  Paper Number: 13-4963