A behavioral analysis of freight mode choice decisions

Samimi, Amir; Kawamura, Kazuya; Mohammadian, Abolfazl

doi:10.1080/03081060.2011.600092

Cited by 60 publications

(50 citation statements)

References 18 publications

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“…The point to be mentioned is that some variables of Table 1 are ineffective in forming the tree. Distance variable which in Samimi et al (2011) study is found to be an important variable in this tree is not a good descriptor and therefore not present in the model. Accuracy of the model for truck mode, rail mode and total accuracy are respectively 99.32, 77.78 and 97.70%.…”

Section: Descriptive Models Using C5 Decision Treementioning

confidence: 99%

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A Comparison between Different Data Mining Algorithms in Freight Mode Choice

Samimi¹,

Razi-Ardakani²,

Nohekhan³

2017

American Journal of Applied Sciences

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This research aims to study application of support vector machine algorithm, artificial neural networks and five different types of decision trees in predicting mode choice of freight transportation. Performance of these models has been compared with log it model which is one the most prevalent statistical models in the field. Effect of factors such as cargo weight, distance, type and characteristics of commodity has been studied in process of modelling mode choice which is rail and road. In this regard, data gathered in the United States, is used and similarities and advantages of the models are described in details. Results indicated that cost-sensitive support vector machine is the best method in predicting shipment mode choice. After this method, stand C5 decision tree and artificial neural network. The most important variables in determining shipment mode choice of firms are respectively weight, great-circle distance between origin and destination, commodity type, compound impedance factor of rail and truck and containerized condition of the shipment to be moved.

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Section: Descriptive Models Using C5 Decision Treementioning

confidence: 99%

“…Mode choice can be regarded as one of the most substantial decisions of each firm involved in a supply chain (Samimi et al, 2011). Generally stating, in studying behaviour of firms in field of freight mode choice there are much more complicity than mode choice of commuters.…”

Section: Introductionmentioning

confidence: 99%

A Comparison between Different Data Mining Algorithms in Freight Mode Choice

Samimi¹,

Razi-Ardakani²,

Nohekhan³

2017

American Journal of Applied Sciences

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“…Contrary to Samimi et al (2011), Danielis and Marcucci (2007) and Lammgård (2007) notice that there is a willingness to abandon the existing choice of freight service. It is also noted that the logistics managers showed little awareness of the definite features of multimodal transportation and in some cases believed them to lie far outside the acceptable area.…”

Section: Shipment Attributesmentioning

confidence: 99%

“…Evers et al (1996) finds reliability and availability as the highest ranked decision factors for modal choice. Samimi et al (2011) states that the prevailing factors affecting freight mode choice are (in falling order of importance) reliability, cost, transport time, flexibility and past experience with each mode.…”

Section: Shipment Attributesmentioning

confidence: 99%

“…Evers et al (1996) found that reliability and availability were the highest ranked decision factors for modal choice. Samimi et al (2011) summarizes the dominant factors affecting freight mode choice as reliability, cost, transport time, flexibility and past experience with each mode. Reliability can be sectioned into different types of reliability; travel time reliability and capacity reliability.…”

Section: Introductionmentioning

confidence: 99%

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Factors Influencing the Choice between Road and Multimodal Transportation

Heljedal¹

2013

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on-sustainable transportation is a great part of the stress that human activities put on the environment. Road transportation constituted 74% of the total inland tonne-kilometres in the EU during 2009, to be compared to rail transportation at 15%. In Sweden the numbers are slightly more in favour of rail transportation, but still a small share despite the fact that the European Committee promotes sustainable modes of transport. To reduce the environmental impact from the transport sector, and be able to promote the use of sustainable transport modes, it is important to gain an understanding of why the modal balance is disposed this way. By case studies and a survey, four factors, viz costs, environmental impact, attitudes and risks, and their impact on the choice of mode of transportation for companies located in the vicinity of a rail terminal are studied.The results clearly show that the environmental impact of rail transportation is only a fraction of that of the road transportation and could possibly influence the choice of rail transportation in a positive way. However, rail transportation is less cost efficient, flexible and reliable and these aspects -despite the advantageous conditions in terms of infrastructure and geographical vicinity to a rail terminalcontribute to a negative bias towards rail transportation among companies in the study. Thus, the cost and attitudes factors counteract the choice of rail transportation. In addition, risks, as the final factor, also counteracts the choice, since it is found that respondents consider the risks of disturbances such as delays, theft and accidents to be important when considering mode of transportation and that rail transportation is viewed as lacking compared to road transportation.This thesis contributes to the existing theory about the costs-related issues and the environmental impact of rail transportation, as well as how companies with beneficial conditions to employ rail transportation consider the mode with regards to e.g. reliability and safety, and how these factors influence the modal choice among buyers of transportation services that are located close to a rail terminal. With this knowledge, policymakers are informed of which areas to concentrate taxes, subsidizations and information to. These things are in all probability necessary if a large scale modal shift is desired. The contribution of the effect a modal shift could have on the environmental impact of the transportation might make certain practitioners that compete on a market where a low environmental footprint is a strong competitive weapon to rethink their modal choice. N iii ivPopulärvetenskaplig sammanfattning et är lätt att föreställa sig en renare värld. En värld där ingen hostar på grund av avgaser, där sot inte täcker husväggar eller förmörkar himlen. En värld där gräset är grönare och där vackra, snötyngda vinterskogar inte är en syn hotad av ett varmare klimat. Det är inte alls lika lätt att tänka sig en värld utan lastbilarstransporter. Men att minska antalet lastbil...

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