详情

原文传递 Freight Demand Modeling and Data Improvement. SHRP 2 Report S2-C20-RR-1.

题名：	Freight Demand Modeling and Data Improvement. SHRP 2 Report S2-C20-RR-1.
作者：	Anater, P.; Chase, K. M.; Phelan, T.
关键词：	Cargo Transportation; Carriers; Economic Factors; Forecasting; Freight Mobility; Freight Traffic; Freight Transportaiton; Shippers; Transportation Planning; Travel Demand
摘要：	The SHRP 2 C20 research initiative provides the strategic framework for continuous improvement and innovative breakthroughs in freight transportation forecasting, planning, and data. The stated research objective was to foster fresh ideas and new approaches to designing and implementing freight demand modeling. This objective recognizes that fundamental change is necessary to better integrate freight considerations into the transportation planning process. Various short-term measures have resulted in marginal improvement to the current state of the practice for freight planning, but they contain many inherent weaknesses. Fundamental change in freight modeling and data is needed and opportune. Freight is growing in volume, economic importance, and complexity, particularly in relation to sophisticated modal and information technology advances. The effective and efficient movement of goods affects nearly every aspect of life. However, the analytic tools and methods used to forecast freight demand are inadequate to deal with the scale and importance of freight transportation on our multimodal system and our economy. Historically, travel demand forecasting has been oriented toward the long-standing methods used for passenger transportation. Passenger-oriented forecasting models draw on economic and demographic variables that are insufficient and largely irrelevant for estimating freight demand, which is shaped by a wider range of factors that reflect a complex logistics chain. By developing better freight demand models and data sources, public and private sector decision makers will be able to make better and more informed decisions related to transportation infrastructure, land use, economic development, and other policies fundamental to prosperity and quality of life. Ultimately, these decisions should consider relevant information such as the current movement of goods, modal mix and variations, shipping costs, time in transit, consumption rates, logistics chains, and
报告类型：	科技报告