National Academy of Sciences | 150 Year Anniversary

Questions? Call 800-624-6242

| Items in cart [0]

The National Academies Press

Rights & Permissions

topleft topright

NCFRP Report 14: Guidebook for Understanding Urban Goods Movement (2012)
National Cooperative Freight Research Program (NCFRP)

Citation Manager

Plumeau, Peter, Berndt, Mark, Bingham, Paul, Weisbrod, Roberta, Rhodes, Suzann S, Bryan, Joe, Cherrett, Thomas J, Transportation Research Board. "Freight Node Data." NCFRP Report 14: Guidebook for Understanding Urban Goods Movement. Washington, DC: The National Academies Press, 2012.

Please select a format:

BibTeX EndNote RefMan


Page
33
bottomleft bottomright
Page
33
Front Matter (R1-R10)
Chapter 1 - Introduction and Purpose (1-2)
Why Read the Guidebook (3-3)
How the Guidebook Is Organized (4-5)
A Brief History of Urban Development and Freight in America (6-6)
Urban Goods Movement in the Twenty-First Century (7-7)
Who Is Moving Your Goods? (8-9)
Why Freight Moves: Supporting the New Economy (10-13)
Chapter 3 - Moving Urban Goods: It's All about Supply Chains (16-16)
Case Illustration 1: Soft Drink Beverages (17-17)
Case Illustration 2: Gasoline and Petroleum Fuels Supply Chain (18-19)
Case Illustration 3: Apparel Retail Supply Chain (20-20)
Case Illustration 4: Aggregate-Based Construction Materials Supply Chain (21-21)
Supply Chain Comparisons (22-28)
Chapter 4 - Using Freight Data for Planning (29-29)
Neighborhood Freight Data (30-32)
Freight Node Data (33-33)
Freight Network Data (34-35)
Freight Flow Data (36-37)
Freight Data Protocols (38-40)
Overview (41-41)
Design Standards (42-43)
Urban Infrastructure Design (44-44)
Land Use and Zoning (45-46)
Urban Truck Regulations (47-51)
Receiving Support or Authorization to Integrate Freight Analysis into the Planning Process (52-52)
Get Organized (53-53)
Summarize the Issues, Problems, and Their Locations (54-55)
Review and Evaluate Current Regulations (56-56)
Identify Potential Solutions and Strategies to Improve Urban Goods Movements (57-61)
Measuring Success (62-63)
Atlanta: Effectively Managing Truck Traffic in the Urban Environment (64-66)
Baltimore: The Maritime Industrial Zone Overlay District (MIZOD) (67-68)
Toronto: Harmonizing of Loading Area Regulation across a Mega-City (69-73)
Washington, D.C.: Commercial Vehicle Regulation (74-75)
Nashville: Vanderbilt Medical Center - Freight Consolidation (76-78)
London: Reducing Freight Impacts via Out-of-Hours Deliveries (79-82)
Bristol (United Kingdom): Reducing Freight Impacts through Consolidation Centers (83-85)
New York City: Commercial Vehicle Regulation and Off-Peak Delivery (86-88)
Buffalo: Brownfield Redevelopment for a Logistics Hub (89-92)
Case Studies - Key Findings (93-94)
Appendix A - Additional Supply Chain Case Illustrations (95-105)
Appendix B - References and Resources (106-107)
Abbreviations used without definitions in TRB publications (108-108)

Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.

Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.

OCR for page 33
Using Freight Data for Planning 33 Freight Node Data Freight nodes represent the consolidated or individual endpoints that generate or receive freight flows. Nodes are also the key points of production, consumption, or intermediate han- dling for goods. Freight facility/node information can be useful in a planning context for travel demand modeling, land-use planning, and environmental analysis. Quick Response Freight Manual II, (Beagan et al. 2010) a freight modeling resource published by FHWA, points out that the first step in traditional four-step travel forecasting is to understand trip generation rates. There are two approaches for understanding trip generation rates at a local level: (1) conduct local surveys of vehicles generated by major freight nodes in a given travel analysis zone (TAZ) or (2) apply national default generation rates based on industry employ- ment by TAZ. The former are more expensive, but the latter suffer from a variety of problems affecting industry specificity, productivity, mode usage, and supply chain design. Exhibit 4-4 shows GIS mapping of the estimated tons produced by individual freight nodes within a TAZ. Freight facility/node information can be useful for site planning (i.e., understanding the traf- fic impacts of a new or expanded freight facility). Finally, node data also is important in a plan- ning context for understanding "last mile" needs for designating truck routes, and for use in travel demand modeling, land-use planning, and environmental analysis. ISTEA placed new emphasis on developing inventories of nodes where freight or people tran- sitioned from one mode to another. Specifically, the planning regulations that were promulgated as a result of ISTEA required states to develop Intermodal Management Systems (IMS), a data- base requirement that was later dropped because of the onus it placed on state planning agen- cies. Although MPOs were not required by ISTEA to develop comparable IMS datasets at the urban area level, they were encouraged to work with states and utilize information from state IMS data in developing their own transportation plans. When IMS data became an option as opposed to a requirement, some states continued to maintain IMS data for freight and some MPOs have also developed freight facility datasets. At the federal level, an intermodal terminal facilities database has been created that is now available through the National Transportation Atlas Database (NTAD) series through the Bureau of Transportation Statistics (BTS). The NTAD file for 2009 contains 3,280 records of facilities nationwide. Exhibit 4-4. Freight node data--tonnage production by facility. Source: Wilbur Smith Associates.