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Open AccessArticle

Data-Driven Study on the Sustainable Log Movements: Impact of Rail Car Fleet Size on Freight Storage and Car Idling

1
Innovative Transport Policy Division, Korea Railroad Research Institute, 176 Railroad Museum Road, Uiwang-Si, Gyeonggi-do 16105, Korea
2
Department of Civil and Environmental Engineering, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(11), 4563; https://doi.org/10.3390/su12114563
Received: 27 April 2020 / Revised: 21 May 2020 / Accepted: 1 June 2020 / Published: 3 June 2020
(This article belongs to the Special Issue Sustainable Railway System)
Rail car availability and the challenges associated with the seasonal dynamics of log movements have received growing attentions in the Lake Superior region of the US, as a portion of rail car fleet is close to reaching the end of its service life. This paper proposes a data-driven study on the rail car peaking issue to explore the fleet of rail cars dedicated to being used for log movements in the region, and to evaluate how the number of cars affects both the storage need at the sidings and the time the cars are idled. This study is based on the actual log scale data collected from a group of forest companies in cooperation with the Lake State Shippers Association (LSSA). The results of our analysis revealed that moving the current log volumes in the region would require approximately 400–600 dedicated and shared log cars in ideal conditions, depending on the specific month. While the higher fleet size could move the logs as they arrive to the siding, the lower end would nearly eliminate the idling of rail cars and enable stable volumes throughout the year. However, this would require short-term storage and additional handling of logs at the siding, both elements that increase the costs for shippers. Another interesting observation was the fact that the reduction of a single day in the loading/unloading process (2.5 to 1.5 days) would eliminate almost 100 cars (20%) of the fleet without reduction in throughput. View Full-Text
Keywords: log movement; rail car fleet size; freight rail transportation; integer linear programming model log movement; rail car fleet size; freight rail transportation; integer linear programming model
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MDPI and ACS Style

Ko, S.; Lautala, P.; Zhang, K. Data-Driven Study on the Sustainable Log Movements: Impact of Rail Car Fleet Size on Freight Storage and Car Idling. Sustainability 2020, 12, 4563. https://doi.org/10.3390/su12114563

AMA Style

Ko S, Lautala P, Zhang K. Data-Driven Study on the Sustainable Log Movements: Impact of Rail Car Fleet Size on Freight Storage and Car Idling. Sustainability. 2020; 12(11):4563. https://doi.org/10.3390/su12114563

Chicago/Turabian Style

Ko, Sangpil; Lautala, Pasi; Zhang, Kuilin. 2020. "Data-Driven Study on the Sustainable Log Movements: Impact of Rail Car Fleet Size on Freight Storage and Car Idling" Sustainability 12, no. 11: 4563. https://doi.org/10.3390/su12114563

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