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dc.contributor.author Kavirathna, CA
dc.contributor.author Hanaoka, S
dc.contributor.author Kawasaki, T
dc.contributor.editor Pasindu, HR
dc.date.accessioned 2022-05-31T05:37:26Z
dc.date.available 2022-05-31T05:37:26Z
dc.date.issued 2018-08
dc.identifier.citation Kavirathna, C.A., Hanaoka, S., & Kawasaki, T. (2018). Competitive assessment of container port development in Sri Lanka [Abstract]. In H.R. Pasindu (Ed.), Proceedings of the Transportation Research Forum 2018 (pp. 25-26). Department of Civil Engineering, University of Moratuwa. https://uom.lk/sites/default/files/civil/files/TRF%202018_0.pdf en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18077
dc.description.abstract Owing to the strategic location of Sri Lanka with the world maritime networks, Colombo port is developed as a main transshipment hub port, given that majority of containers throughput being represented by transshipment cargo. Within this context, the expansion of Colombo port and the development of Hambantota port were initiated by Sri Lankan Port Authority. This paper discusses the container port developments related to Colombo and Hambantota ports considering both domestic and transshipment container handling. Total domestic laden container throughput is disaggregated into 25 districts in Sri Lanka for domestic cargo flow analysis. For the transshipment cargo flow analysis, twelve selected feeder ports in the Indian sub-continent are considered, which are grouped into three feeder markets namely, Indian East-coast, South-coast and West-coast feeder markets. A discrete choice model together with the generalized cost approach, is used for modelling the gateway port choice behaviours of local shippers/consignees considering basic container haulage cost, detention fee, transport time cost, waiting time cost, and terminal handling charges. Transshipment hub port choice of shipping lines is quantified considering the range of hub port selection criteria discussed under monetary, time, port traffic, location, operation and liner related categories, according to the context of current study. The autoregressive integrated moving average model is used to forecast container volumes in 2040, which is considered as the target year. The liner programming simplex optimization method is used to calculate the additional generalized cost of shippers/consignees with the given slot capacity constraints at Colombo. Sensitivity analysis is carried out to analyse impacts from the split of liner services. High attractiveness of Colombo port for domestic container handling and Hambantota for transshipment container handling, was revealed. Scenario analysis indicates the significance of accessing the road development and incentive scheme at Hambantota port to reduce generalized cost of local shippers/consignees. The impacts from additional waiting time for liner services and slot capacity constraints at Colombo port are analysed, where a significant negative impact on local shippers/consignees was revealed. Recommendations are made considering the impacts on local shippers/consignees, shipping lines, the port authority and maritime competitiveness of the country. en_US
dc.language.iso en en_US
dc.publisher Department of Civil Engineering, University of Moratuwa en_US
dc.relation.uri https://uom.lk/civil/divisions/transportation/trf/past-proceedings en_US
dc.subject Port developments en_US
dc.subject Transshipment en_US
dc.subject Competition en_US
dc.subject Generalized cost en_US
dc.title Competitive assessment of container port development in Sri Lanka en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2018 en_US
dc.identifier.conference Transport Research Forum 2018 en_US
dc.identifier.place Katubedda en_US
dc.identifier.pgnos pp. 25-26 en_US
dc.identifier.proceeding Proceedings of the Transport Research Forum 2018 en_US
dc.identifier.email chathumi.k.aa@m.titech.ac.jp en_US
dc.identifier.email hanaoka@ide.titech.ac.jp en_US
dc.identifier.email kawasaki@ide.titech.ac.jp en_US


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