Study of Rural Transportation Issues

Casavant, Ken; Denicoff, Marina R.; Jessup, Eric; Taylor, April; Nibarger, Daniel; Sears, David W.; Khachatryan, Hayk; McCracken, Vicki; Prater, Marvin E.; O'Leary, Jeanne; Marathon, Nick; McGregor, Brian; Olowolayemo, Surajudeen O.; Blanton, Bruce

doi:10.9752/ts041.04-2010

Cited by 7 publications

(10 citation statements)

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“…Agricultural products usually need to be transported from farms to storage or processing facilities before being shipped to urban centers (Casavant et al., ). We consider that agricultural goods are first shipped from each farm gate to a collecting point (e.g., an elevator), and then from the collecting point to the CBD (see Figure ).…”

Section: Spatial Structure Agricultural Markets and Emissionsmentioning

confidence: 99%

“…The Transportation/Distribution Network Agricultural products usually need to be transported from farms to storage or processing facilities before being shipped to urban centers (Casavant et al, 2010). We consider Note: In this example, regions 1 and 2 are importers (outward arrows); regions 3, 4, and 5 are exporters (inward arrows).…”

Section: The Spatial Structurementioning

confidence: 99%

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Local Food, Urbanization, and Transport‐related Greenhouse Gas Emissions

Cara

Fournier

Gaigné

2016

Journal of Regional Science

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We argue that “buying local” does not necessarily reduce transport‐related greenhouse gas emissions, even if production technologies and yields are homogeneous in space. We develop a partial‐equilibrium model of rural‐urban systems where the spatial distribution of food production within and between regions is endogenous. We exhibit cases where locating some food production in the least‐urbanized regions results in lower emissions and higher welfare than if all regions are self‐sufficient. The optimal spatial allocation of food production does not exclude the possibility that some regions should be self‐sufficient, provided that their urban population sizes are neither too large nor too small.

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Section: Spatial Structure Agricultural Markets and Emissionsmentioning

confidence: 99%

Section: The Spatial Structurementioning

confidence: 99%

Local Food, Urbanization, and Transport‐related Greenhouse Gas Emissions

Cara

Fournier

Gaigné

2016

Journal of Regional Science

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“…Standard gasoline tanker trucks (DOT MC 3066 Bulk Fuel Haulers) are typically used to ship ethanol outbound from the plants to the blending terminals. The total number of independently operated tank trucks is approximately 10,000, excluding the tanker truck fleets that are owned by petroleum companies [55].…”

Section: Transportation Of Biofuelsmentioning

confidence: 99%

Design of local roadway infrastructure to service sustainable energy facilities

Abdelwarith

Anastasopoulos

Richardson³

et al. 2014

Energ Sustain Soc

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“…Conventional g/cwt estimates were developed from data provided by the USDA AMS weekly truck rate reports for fresh produce (Agricultural Refrigerated Truck Quarterly) (USDA AMS, 2014b), and other food distribution studies (Casavant et al, 2010; The g/cwt for the local farmers were compared in two ways with the g/cwt of produce shipped from Florida, Texas, and California. First, 1 Two-way travel distances are included in the local farmer g/cwt estimates, whereas one-way travel distances are assumed for the three conventional supply chains (Kaplin, 2012).…”

Section: Comparing Local Farmer and Conventional Fuel Use Efficienciesmentioning

confidence: 99%

“…Sourcing produce from distant origins and relying on long distance truck shipments has been a successful strategy during periods of low energy prices (Hendrickson, 1994). However, under a scenario with high fuel costs, the current supply network could become a high-cost structure for U.S. food distribution (Casavant et al, 2010).…”

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confidence: 99%

Locational Advantage and the Impact of Scale: Comparing Local and Conventional Fruit and Vegetable Transportation Efficiencies

Grigsby

Hellwinckel

2016

J. Agric. Food Syst. Community Dev.

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Some have suggested that in order for local foods to reach broader consumer segments and become price-competitive with foods sold in mainstream market channels, local farmers need to scale up their production and distribution operations to match the efficiencies of the conventional food system. In this study, we take a first step in evaluating how scaling up production and distribution could make locally produced foods more competitive with the conventional food system. We compare the transportation efficiencies of the conventional and local fruit and vegetable transportation networks in Knoxville, Tennessee, and determine the Knoxville-area food system's competitive transportation zones, defined as the region in which local farmers' shorter travel distances to market give them a locational advantage in transportation over their long distance, conventional food supply chain competitors. We analyze the extent to which local farmers' scales of production and distribution affect their transportation efficiencies, and we investigate factors that could improve their competitiveness with conventional distribution networks. We find that farms located within 25 miles (40 km) of the downtown market tended to deliver their produce to market at least as efficiently as conventionally distributed foods from California. More distant farms needed to scale up their production and distribution operations to remain within the competitive transportation zones. Investigating travel distance thresholds could provide policy-makers with useful information in planning land use and infrastructure investment projects for local food systems and in a *

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Study of Rural Transportation Issues

Cited by 7 publications

References 0 publications

Local Food, Urbanization, and Transport‐related Greenhouse Gas Emissions

Local Food, Urbanization, and Transport‐related Greenhouse Gas Emissions

Design of local roadway infrastructure to service sustainable energy facilities

Locational Advantage and the Impact of Scale: Comparing Local and Conventional Fruit and Vegetable Transportation Efficiencies

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