• Vol 6, No 5 (2015)
  • Civil Engineering

The Development of a Freight Distribution Model for Connecting Inter-island Freight Transport

Imam Sonny, Sigit P. Hadiwardoyo, Bambang Susantono, Abdellatif Benabdelhafid

Corresponding email: massonny@yahoo.com


Published at : 30 Dec 2015
IJtech : IJtech Vol 6, No 5 (2015)
DOI : https://doi.org/10.14716/ijtech.v6i5.1041

Cite this article as:

Sonny, I., Hadiwardoyo, S.P., Susantono, B., Benabdelhafid, A., 2015. The Development of a Freight Distribution Model for Connecting Inter-island Freight Transport. International Journal of Technology. Volume 6(5), pp. 743-750

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Imam Sonny Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Sigit P. Hadiwardoyo Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Bambang Susantono Department of Civil Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Abdellatif Benabdelhafid Laboratoire de Mathématiques Appliquées du Havre, Université du Havre, 25 Rue Philippe Lebon, 76600 Le Havre, France
Email to Corresponding Author

Abstract
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Inter-island freight transport costs in eastern compared to western Indonesia are relatively high, caused by operator charges for roundtrip fees. In order to make the distribution of freight efficient, the network of freight transport needs to be rationalized on a regional basis. The output from the regional model counts are few and far between in relation to intercity traffic volume data, and the disaggregate model at a regional level requires more effort in conducting travel route surveys. Therefore, aggregated analysis is preferable initially, based on the traffic volume and the commodity flow for inter-island freight transport. The accessibility and connectivity of the land use can be obtained from the freight distribution model as a measurement to evaluate different land use scenarios and also to provide feedback for land use modeling, as a parameter for freight location choice. With a freight distribution model to identify freight commodity supply and demand in a particular region, potential freight transport generation uses such variables, which consider generalized transport costs. Using the Furness and Maximum Entropy models, the results indicate that Furness model finishes in the 4th iteration and Maximum Entropy in 6th, while the negative exponential function offers the best calibrated estimation, using sea freight movement data. It was also found that the positive value of ? means that any increment of travel time decreased the rate of freight flow, which mirrored the conditions in reality: the higher travel costs, the fewer the number of flows between zones. The data is analyzed in the context of modeling intra-city freight flow in the archipelagic region of northern Maluku.

Freight distribution, Impedance function, Synthetic model, Transport costrt cost

References

de Jong, G., Gunn, H.F., Walker, W., 2004. National and International Freight Transport Models: Overview and Ideas for Future Development. Transport Reviews, 24(1), pp.103–124

Holguin-Veras, J., Sarmiento, I., Gonzalez, C., Thorson, E., Sanchez, I., 2010. Short-medium Term Parameter Stability in a National Freight Demand Model: An Empirical Investigation. Panam XVI, pp. 1–23

Mahmudah, N., Parikesit, D., Malkhamah, S., Priyanto, S., 2011. Pengembangan Metodologi Perencanaan Transportasi Barang Regional. Jurnal Transportasi, Volume 11(3), pp. 173–182

Mishra, S., Wang, Y., Zhu, X., 2013. Comparison between Gravity and Destination Choice Models for Trip Distribution in Maryland. In: the 92nd Annual Meeting of Transportation Research Board, Volume 96, pp. 13–31

Mitra, S., Tolliver, D., 2009. Framework for Modeling Statewide Freight Movement using Publicly Available Data. Journal of the Transport Research Forum, Volume 48(2), pp. 83–102

Rwakarehe, E., Ming, Z., Christie, J., 2014. Development of a Freight Demand Model for the Province of Alberta using Public Sources of Data. Procedia Social and Behavioral Sciences, Volume 138, pp. 695–705

Tamin, O.Z., 2008. Transportation Planning and Modeling – Problem and Application, Bandung: ITB (in Bahasa)

Tamin, O., Suyuti, R., 2007. Indonesian Domestic Sea Freight Movement Modeling based on STRAMINDO Data. Journal of the Eastern Asia Society for Transportation Studies, Volume 7, pp. 540–555

Waddell, P., 2002. Modeling Urban Development for Land Use, Transportation and Environmental Planning. Journal of the American Planning Association, Volume 68, pp. 297–314

Wang, Y., Zhu, X., Li, L., Wu, B., 2013. Integrated Multimodal Metropolitan Transportation Model. Procedia - Social and Behavioral Science, Volume 96, pp. 2138–2146

Wisetjindawat, W., Sano, K., Matsumoto, S., 2006. Commodity Distribution Model Incorporating Spatial Interactions for Urban Freight Movement. In: 85th Annual Meeting of the Transportation Research Board, Washington D.C.


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