Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model

Abdelwahab, Walid

doi:10.1016/s1366-5545(98)00014-3

Cited by 87 publications

(36 citation statements)

References 3 publications

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“…The calculation of road freight transportation elasticities has been widely discussed [39,40]. Figure 3 shows the overall elasticity of transport efficiency and transport content with respect to transport distance; the elasticity values are associated with the regression equations.…”

Section: Transport Distance and Elasticitiesmentioning

confidence: 99%

The vehicle approach for freight road transport energy and environmental analysis in Spain

Pérez-Martínez

2009

Eur. Transp. Res. Rev.

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Purpose and methodology This paper summarizes the results of a permanent road freight sample survey carried out in 1997-2003 on heavy duty vehicles in Spain. In particular, this work reviews some of the key indicators that are measuring the efficiency and the operational performance of the freight road transport. The indicators of transport are coming directly and indirectly from the survey. The survey is based on a stratified random sampling, and represents an audit of the performance of 41,600 vehicles in a yearly basis.Main results Although the study shows wide variation in absolute values between 1997 and 2003, energy and environment efficiencies improve by 0.2%. Conclusions Nevertheless, assumptions and analyses of freight road transport in Spain find significant new points of view to the problems in order to assess vehicle utilization, fuel efficiency and CO2 emissions.

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Section: Transport Distance and Elasticitiesmentioning

confidence: 99%

The vehicle approach for freight road transport energy and environmental analysis in Spain

Pérez-Martínez

2009

Eur. Transp. Res. Rev.

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“…Clark et al (2005)] An additional measure of elasticity, the cross-price elasticity, is used to estimate which of two interchangeable modes will be substituted for the other when there is a price increase in one of the modes, as follows: a cross-price elasticity greater than zero indicates that the two modes are substitutes and there is a potential for mode shift; an elasticity of zero indicates that there is no relationship; and an elasticity less than zero indicates that the modes complement each other and there is a potential for mode shift. Figure 4.2 presents the cross-price elasticities between rail and truck from studies reviewed in the Navigation Economic Technologies Program report (Oum 1989;Friedlaender and Spady 1980;Winston 1981;Abdelwahab 1998). There is some variation, but most commodities and modes are fairly inelastic, supporting the idea that, in many cases, mode shift potential is small based on price changes alone.…”

Section: Prices and Modal Shiftsmentioning

confidence: 95%

Transportation Energy Futures Series: Freight Transportation Modal Shares: Scenarios for a Low-Carbon Future

Brogan¹,

Aeppli²,

Beagan³

et al. 2013

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This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a U.S. Department of Energy (DOE)-sponsored multi-agency project initiated to identify underexplored strategies for abating greenhouse gases (GHG) and reducing petroleum dependence related to transportation. The project was designed to consolidate existing transportation energy knowledge, advance analytic capacity-building, and uncover opportunities for sound strategic action.Transportation currently accounts for 71% of total U.S. petroleum use and 33% of the nation's total carbon emissions. The TEF project explores how combining multiple strategies could reduce GHG emissions and petroleum use by 80%. Researchers examined four key areas -lightduty vehicles, non-light-duty vehicles, fuels, and transportation demand -in the context of the marketplace, consumer behavior, industry capabilities, technology and the energy and transportation infrastructure. The TEF reports support DOE long-term planning. The reports provide analysis to inform decisions about transportation energy research investments, as well as the role of advanced transportation energy technologies and systems in the development of new physical, strategic, and policy alternatives.In addition to the DOE and its Office of Energy Efficiency and Renewable Energy, TEF benefitted from the collaboration of experts from the National Renewable Energy Laboratory and Argonne National Laboratory, along with steering committee members from the Environmental Protection Agency, the Department of Transportation, academic institutions and industry associations. More detail on the project, as well as the full series of reports, can be found at http://www.eere.energy.gov/analysis/transportationenergyfutures. .................................................................................................................... ........................................................................................... 70 References ............................................................................................................................ EXECUTIVE SUMMARYFreight transportation modes-truck, rail, water, air, and pipeline-each serve a distinct share of the freight transportation market. A variety of factors influence the modes chosen by shippers, carriers, and others involved in freight supply chains. Analytical methods can be used to project future modal shares, and federal policy actions could influence future freight mode choices. This report considers how these topics have been addressed in existing literature and offers insights on federal policy decisions with the potential to prompt mode choices that reduce energy use and greenhouse gas emissions. Options for Moving 18.5 Billion Tons of FreightTruck, rail, water, air, and pipeline services provide a spectrum of competitive and complementary freight transportation options, with each mode offering advantages and disadvantages in terms of price, speed, reliability, accessibility, visibility, secu...

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“…Several examples of behavioural and inventory freight demand models within the literature are offered in Abdelwahab and Sargious (1992), within which the authors themselves establish a joint mode choice-shipment size choice model. Abdelwahab (1998) revisits this framework.…”

Section: The Choice Analytic Dimensionsmentioning

confidence: 99%

Refocusing the Modelling of Freight Distribution: Development of an Economic-Based Framework to Evaluate Supply Chain Behaviour in Response to Congestion Charging

Hensher

Puckett

2005

Transportation

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The distribution of freight is a major contributor to the levels of traffic congestion in cities. However it is much neglected in the research and planning activities of government, where the focus is disproportionately on passenger vehicle movements. Despite the recent recognition of the contribution of freight transportation to the performance of urban areas under the rubric of city logistics, we see a void in the study of how the stakeholders in the supply chain might cooperate through participation in distribution networks, to reduce the costs associated with traffic congestion. Given that transport costs are typically over 45% of all distribution costs, with congestion a major contributor in the urban setting, the importance of establishing ways in which supply chain partnerships might cooperate to reduce levels of freight vehicle movements has much merit. This paper sets out a framework to investigate how agents in a retail supply chain might interact more effectively to reduce the costs of urban freight distribution. We propose an interactive agency choice method as a way of formalising a framework for studying the preferences of participants in the supply chain to support specific policy initiatives. Such a framework is a powerful way of investigating the behavioural response of each agent to many policies, including congestion pricing, as a way of improving the efficient flow of traffic in cities.

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Elasticities of mode choice probabilities and market elasticities of demand: Evidence from a simultaneous mode choice/shipment-size freight transport model

Cited by 87 publications

References 3 publications

The vehicle approach for freight road transport energy and environmental analysis in Spain

The vehicle approach for freight road transport energy and environmental analysis in Spain

Transportation Energy Futures Series: Freight Transportation Modal Shares: Scenarios for a Low-Carbon Future

Refocusing the Modelling of Freight Distribution: Development of an Economic-Based Framework to Evaluate Supply Chain Behaviour in Response to Congestion Charging

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