Feasibility Study for Freight Data Collection
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2010-11-05
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Alternative Title:Feasibility Study for Freight Data Collection : Final Report to the New York Metropolitan Transportation Council
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TRIS Online Accession Number:01493239
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Edition:Final Report 05/1/2009 - 08/31/10
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Abstract:The New York City (NYC) metropolitan region is home to close to 20 million residents, more than 600,000 business establishments, more than 1.3 million registered trucks, and more than 8.8 million employees. Every year, more than 80 million trucks cross the toll facilities administered by the various transportation agencies (New York Metropolitan Transportation Council, 2004). This traffic translates into a total amount of cargo of about 200 million tons. The bulk of these goods accounts for 79% of the region’s goods while the national average is 44%. As freight transportation is becoming more critical to the region, NYMTC has recognized the need to take proactive steps to enhance the overall efficiency of the freight transportation system, as a way to enhance the region and the Nation’s competitiveness. To consider freight issues systematically and quantitatively, effective and efficient freight data collection plays a crucial role, especially for (a) improvement strategies evaluation for freight mobility, (b) system performance forecasting, (c) mitigating t he impacts of truck traffic, (d) determining the impacts on air quality, and (e) improving the safety and security performance of the road network. This project proposes to establish an efficient and cost-effective freight data collection framework for NYMTC to address data needs in freight modeling. In order to quantify freight issues through modeling, the data itself-and how efficiently it is collected-is critical, especially for: (1) improvement strategies evaluation for freight mobility; (2) system performance forecasting; (3) mitigating the impacts of truck traffic; (4) determining the impacts on air quality; and (5) improving the safety and security performance of the road network. The main objective of this project was to establish an efficient and cost-effective freight data collection framework, which was developed through a number of major components, including but not limited to: identification of freight data needs and existing relevant data sources, definition of the data collection framework and estimation of data collection costs, and estimation of total deliveries by ZIP code. The report contains information on the development of the data collection framework. Chapter 3 identifies the data needs for different modeling techniques, as well as the possible sources for the data. Chapter 4 outlines the data collection procedures, ranging from surveys and interviews to freight volume counts. Chapter 5 highlights data expectations and challenges, while developing the data collection framework. Chapter 6 covers the costs associated with data collection strategies. An introduction to freight modeling can be found in Appendix A. Appendix B is a comprehensive review of relevant publications. There is also a supplemental report that covers the following project components: (1) results from the estimation of trip generation models; (2) analysis of ZIP code employment data; (3) estimation of total deliveries by ZIP code; and (4) geolocation of large traffic generators.
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