Nationwide Freight Generation Models: A Spatial Regression Approach

Novak, David C.; Hodgdon, Christopher; Guo, Feng; Aultman-Hall, Lisa

doi:10.1007/s11067-008-9079-2

Cited by 51 publications

(39 citation statements)

References 25 publications

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“…Different techniques have been used for FG modelling Novak, Hogdon, Guo, & Aultman-Hall (2007). used OLS to develop FP models for the United States.…”

mentioning

confidence: 99%

Freight Generation and Freight Trip Generation Models

Holguín‐Veras

Jaller

Sánchez-Díaz

et al. 2014

Modelling Freight Transport

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“…Different techniques have been used for FG modelling Novak, Hogdon, Guo, & Aultman-Hall (2007). used OLS to develop FP models for the United States.…”

mentioning

confidence: 99%

Freight Generation and Freight Trip Generation Models

Holguín‐Veras

Jaller

Sánchez-Díaz

et al. 2014

Modelling Freight Transport

View full text Add to dashboard Cite

“…This approach sets the linkages of inter-industry sales and purchases among regions within a given country by using a commodity-based structure while other freight models have been developed by considering truck-based structures considering linear regression models and spatial regression models as developed by Novak et al (2011). Moreover, the integrated approach describes trade relationships among regions and economic…”

Section: The Integrated Approachmentioning

confidence: 99%

A Methodology for Assessing the Regional Economy and Transportation Impact of Introducing Longer and Heavier Vehicles: Application to the Road Network of Spain

2015

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Longer and Heavier Vehicles (LHVs) could enhance the competitiveness of countries due to savings in transportation costs. However, the impact that this measure might have on the regional economic and on the transportation network remains unknown, since there is no methodology available to assess it. In this paper, we develop a new methodology based on a Random Utility-Based Multiregional Input-output Model and a road transport network model to assess the impact of allowing LHVs. We applied it to the case of Spain, and we found that allowing LHVs would produce both direct and indirect effects. Real GDP and employment are expected to grow in all the regions, but some of them -the most competitive, most peripheral, and most transport-intensive-will benefit much more than other regions. We also found that the measure would lead to a reduction of vehicles in the network and a reduction of emissions too. The approach designed in this paper provides broad guidance to national governments and other transport-related parties to quantify the impacts of transport policies such as this.

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“…Garrido and Mahmassani (2000) study the effects of geographical location and economic activity of firms on shipments' pattern for a single motor-carrier. Novak et al (2011) evaluated the use of spatial regression variables, and estimated spatial regression models for freight generation at the national level. Kawamura and Miodonski (2011) estimated retail goods consumption using socioeconomic and land-use variables as explanatory variables while Transportation controlling for spatial interactions.…”

Section: Literature Reviewmentioning

confidence: 99%

An exploratory analysis of spatial effects on freight trip attraction

2014

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This paper conducts an exploratory analysis of freight trip attraction and its relationship with key features of the urban environment. Using establishment level data, the authors explore the role of business attributes, as well as network and land use descriptors. The research uses data from 343 establishments from five different industry sectors in New York City. These establishments are geo-located, and spatial association indicators are estimated to assess the presence of spatial effects. Spatial econometric techniques are used to assess the role of spatial effects among establishments and the urban environment. The empirical evidence suggests that establishments' location, such as landvalue and front street width, play an important role on freight trip attraction (FTA), and that retail industries located in high employment zones tend to produce higher FTA per employee. Another key finding is that FTA is better modeled using non-linear models for all industry sectors. Specifically, the freight trip attraction of business establishments is concave with employment, flattening as employment increases. This is confirmed by the modeling results for which the range of coefficients estimated for employment reveals that, although larger establishments have higher FTA than small establishments, FTA increases at a diminishing marginal rate. These exploratory findings shed light on the use of locational variables, and nonlinear spatial effects specifications to enhance FTA models.

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Nationwide Freight Generation Models: A Spatial Regression Approach

Abstract: Freight generation, Linear Models, National freight planning, Spatial analysis, Freight commodity generation,

Cited by 51 publications

References 25 publications

Freight Generation and Freight Trip Generation Models

Freight Generation and Freight Trip Generation Models

A Methodology for Assessing the Regional Economy and Transportation Impact of Introducing Longer and Heavier Vehicles: Application to the Road Network of Spain

An exploratory analysis of spatial effects on freight trip attraction

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