01338278

Component

https://doi.org/10.3141/2224-09

http://scholar.google.com...nson&publication_year=2011

Several findings call into question current practices. The chief conclusion is that the accuracy of freight generation (FG) and freight trip generation (FTG) models depends on the consistency between the model’s structure and actual FG-FTG patterns, the degree of internal heterogeneity of the economic and land use aggregation used to estimate the model, and the appropriateness of the spatial aggregation procedure used to obtain the desired FG-FTG estimates. Relative to model structure, the paper establishes strong reasons to treat FG and FTG as separate concepts, because the latter is the output of logistic decisions, whereas the former is determined by the economics of production and consumption. The connection between business size variables—for example, employment—and FG is relatively strong because they are economic input factors, whereas the one with FTG is weaker because inventory and transportation costs come into play. Thus it is generally not correct to assume proportionality between FTG and business size or to assume that using constant FTG rates could be problematic. For instance, only 18% of the industry sectors in New York City exhibit constant FTG rates per employee. For economic and land use aggregation, the finer the level of detail the better, as independent variables have a better chance to explain FG-FTG. In the case of spatial aggregation, the correct aggregation procedure depends on the underlying disaggregate model. For a FG-FTG model to work well, both economic and land use and spatial aggregations must be appropriate.

01353537

11-0841

English

pp 68-81

2011

Transportation Research Record: Journal of the Transportation Research Board

9780309167352

Print

Figures (3) ; References (19) ; Tables (9)

Cluster analysis; Consumption rates; Decision making; Economic impacts; Employment; Freight transportation; Land use planning; Logistics; Production; Trip generation

Freight demand modeling; Freight generation; Trip rates

New York (New York)

Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 17 2011 5:35PM

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• New Formulation for the Traveling Salesman Problem with Separation Requirement and Cost
• Online Freight Network Assignment Model with Transportation Disruptions and Recourse
• Supply Chain Broker Operations: Network Perspective
• Time-Dependent Effects on Parameters of Freight Demand Models: Empirical Investigation