SEARCH WITHIN CONTENT
Citation Information : Transport Problems. Volume 15, Issue 2, Pages 25-31, DOI: https://doi.org/10.21307/tp-2020-017
License : (CC BY 4.0)
Received Date : 12-January-2019 / Accepted: 03-June-2020 / Published Online: 18-June-2020
The aim of this paper is to present an analysis of the main factors influencing negatively Klaipeda Sea Port performance and competitiveness as well as their limiting impact on the development of this transport system entity in general. This case study research is proposing some alternative solutions decreasing negative influences of comparatively declining land transport infrastructure connectivity to the Sea Port hinterland. Analysis of hinterland connectivity is based on the extended gate concept, where a series of terminals and related logistical activities are integrated into a functional single entity. The intensity of real road transport flows on the main connecting road intersections has been evaluated using digital tools with input data from the ArcGIS platform. Also, accessibility to other terminals (at the local, regional and global scale) as well as the terminal is linkage to the regional transport system has been taken into account. One of the objectives of this research was to define objectively the state of traffic flow on the highway connecting Klaipeda sea-port to its hinterland because the road infrastructure was not qualitatively improved for a long period, while the average annual seaport turnover is constantly growing by 6% - 9%. Secondly, it was defined how substantially is possible to decrease the load of road traffic in case of reestablishing of an inland waterway connection between practically the same points of the transport route. Using mathematical modeling of traffic flows is proved that, road transport highway connection in/from the Klaipeda Seaport is loaded substantially and requires systemic improvement (building at least additional lanes in both directions, etc.) to promote further growth of Klaipeda sea-port capacities. The option to apply an additional inland waterway connection allows to decrease the road traffic flow up to 9 – 11% with the possible development of this option, what in its’ turn also decrease the negative influence on the environment.
1. Al-Deek, H. & Emam, B.E. New Methodology for Estimating Reliability in Transportation Networks with Degraded Link Capacities. Journal of Intelligent Transportation Systems. 2006. Vol. 10(3). P. 117-129. DOI: 10.1080/15472450600793586.
2. Burger, R. & Garcia, A. & Karlsen, K.H. & Towers, J.D. A family of Numerical Schemes for Kinematic Flows with Discontinuous Flux. Journal of Engineering Mathematics. 2007. Vol. 60(3- 4). P. 387-425. DOI: 10.1007/s10665-007-9148-4.
3. Colombo, R.M. & Corli, A. & Rosini, M.D. Non local Balance Laws in Traffic Models and Crystal Growth. ZAMM_. 2007. Vol. 87(6). P. 449-461. DOI:10.1002/zamm.200710327.
4. Guan, W. A Qualitative Models of Cross-Line Inhomogeneities in Traffic Flow, IEEE Transactions on Intelligent Transportation systems. 2004. Vol. 5(3). P. 188-199.
5. Helbing, D. & Greiner, A. Modelling and Simulation of Multi-Lane Traffic Flow. 1998. 131 p.
6. Kovacic, K. & Ivanjko, E. & Jelusic, N. Measurement of Road Traffic Parameters based on MultiVehicle Tracking. Proceedings of the Croatian Computer Vision Workshop. 2015.
7. Herty, M. & Kichner, C. & Klar, A. Instantaneous control for traffic flow. Mathematical methods in applied sciences. 2007. Vol. 30. P. 153-169. DOI:10.1002/mma.779.
8. Li, X. & Li, Z. & Han, X. & Dai, S.Q. Effect of the optimal velocity function on traffic phase transitions in lattice hydrodynamic models. Commun Nonlinear Sci Numer Simulat. 2009. P. 2171- 2177.
9. Rodrigue, J.P. & Slack, B. & Notteboom, T. The Geography of Transport Systems. Routledge, New York. 2013.
10. Vasilis-Vasiliauskas, A. Modeling performance of railways nodes as intermodal terminals. Transport. 2006. Vol. 21. No. 3. P. 155-159.
11. Datla, S.K. & Moorthy, R.S. & Krishna Rao, K.V. A GIS for routing of Oversized and Hazardous Material Carrying Vehicles. 2004.
12. Xu, C. & Hoel, L.A. A methodology for oversized vehicle trip scheduling. University of Virginia. 2001. 73 p.