Analysis of the Impact of Road Traffic Generated by Port Areas on the Urban Transport Network—Case Study of the Port of Gdynia
Source abstract
Abstract
The paper’s main aim is to present the impact on the city’s road traffic generated by the Port of Gdynia’s operations and propose the optimal solution for transport network development around the port. Firstly, the authors demonstrate a case study determining the impact of heavy goods vehicles (HGVs) generated by port facilities on local traffic. To this end, the average travel time of cars in the network on selected measurement sections is conditioned on the varying number of HGVs generated by the port. Next, based on the data obtained from the traffic monitoring system, PTV Vissim software is used as a modelling tool to analyse and assess the impact on local traffic. Finally, considering the analysis’ results, the vulnerability of the transport network is discussed. The optimal solution for the transport network around the port’s area is proposed. The paper is an extended version of the materials presented at the XIX Maritime Traffic Engineering Conference.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: transportation and logistics systems · Vehicle emissions and performance · Transportation Planning and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Transport and Logistics, Gdynia Maritime University, 81-225 Gdynia, Poland
Department of Mathematics, Gdynia Maritime University, 81-225 Gdynia, Poland
Funding
Gdynia Maritime University
References (27)
Show source-provided references
1. Talley, W. (2009). Port Economics, Routledge.10.4324/9780203880067 ↗
2. The Evolution and Challenges of Port Economics10.1016/S0739-8859(06)16002-3 ↗
3. Krośnicka, K.A. (2016). Przestrzenne Aspekty Kształtowania i Rozwoju Morskich Terminali Kontenerowych, Wydawnictwo Politechniki Gdańskiej. [1st ed.].
4. Deep Sea Port and the National Development: Perspective of Bangladesh
5. Development of a Simplified Method for Measuring Engine Motoring Friction and Its Application
6. Kress, D., Meiswinkel, S., Nossack, J., and Pesch, E. (2018). A Mechanism Design Approach to Planning Problems in Intermodal Transport Logistics of Large City Sea Ports and Megahubs: Theory and Case Studies on Urban Governance, Strategy, Cooperation, and Competitiveness. European Cities in Dynamic Competition: Theory and Case Studies on Urban Governance, Strategy, Cooperation, and Competitiveness, Springer.10.1007/978-3-662-56419-6_11 ↗
7. Sea Port as an Element of a City Sustainability Based on City-Port of Gdańsk10.1051/shsconf/20185801021 ↗
8. Inland Water Transport Applicability for Sustainable Sea Port Hinterland Infrastructure Development. Klaipeda Sea-Port Case10.21307/tp-2020-017 ↗
9. Choi, J., and Chung, C.-S. (2018). A Study on the Dynamic Relationship between Harbour and City Space in the Case of the German Seaport City Hamburg. Koreanische Z. Fuer Wirtsch., 1–21.10.18237/KDGW.2018.36.4.001 ↗
10. The Emergence and Spatial Distribution of Chinese Seaport Cities10.1016/j.chieco.2011.01.002 ↗
11. Ziemska, M., Płodzik, E., and Falkowska, M. (2019). Comparative Analysis of Ports Practices and Activities in the Tri-City and China. TransNav, 13.10.12716/1001.13.03.22 ↗
12. Ziemska, M., and Szumacher, P. (2017, January 21–23). Analysis of Infrastructure Ports and Access Road and Rail to Tri-City Seaport. Proceedings of the Safety of Sea Transportation. In Proceedings of the International Conference on Marine Navigation and Safety of Sea Transportation, TRANSNAV 2017, Gdynia, Poland.10.1201/9781315099088-6 ↗
13. Wpływ Strategii Sterowania Przy Braku Zgłoszeń Na Funkcjonowanie Skrzyżowań z Sygnalizacją Poza Terenem Zabudowy
14. Paszkowski, J., Herrmann, M., Richter, M., and Szarata, A. (2021). Modelling the Effects of Traffic-Calming Introduction to Volume–Delay Functions and Traffic Assignment. Energies, 14.10.3390/en14133726 ↗
15. Modeling Driver Behavior in Work and Nonwork Zones: Multidimensional Psychophysical Car-Following Framework10.3141/2490-13 ↗
16. Congested Freeway Microsimulation Model Using VISSIM10.3141/1876-08 ↗
17. A Method to Identify Critical Acceptance Gap at Conflict Area: Apply to Vissim Simulation10.32508/stdj.v17i2.1350 ↗
18. Lownes, N.E., and Machemehl, R.B. (2006, January 3–6). VISSIM: A Multi-Parameter Sensitivity Analysis. Proceedings of the Proceedings—Winter Simulation Conference, Monterey, CA, USA.10.1109/WSC.2006.323241 ↗
19. Walerjanczyk, W. (2014). Automatyzacja Procesu Weryfikacji Mikroskopowego Modelu Ruchu Drogowego Dla Aglomeracji Poznanskiej. Logistyka, 4, Available online: https://www.infona.pl/resource/bwmeta1.element.baztech-f8f951ed-cb0e-4732-88f8-73a933da926a.
20. Krauß, S. (1998). Microscopic Modeling of Traffic Flow: Investigation of Collision Free Vehicle Dynamics. [Ph.D. Thesis, Universität zu Köln].
21. Ziemska-Osuch, M., and Osuch, D. (2022). Modeling the Assessment of Intersections with Traffic Lights and the Significance Level of the Number of Pedestrians in Microsimulation Models Based on the PTV Vissim Tool. Sustainability, 14.10.3390/su14148945 ↗
22. Ziemska, M. (2021). Exhaust Emissions and Fuel Consumption Analysis on the Example of an Increasing Number of HGVs in the Port City. Sustainability, 13.10.3390/su13137428 ↗
23. Traffic Simulation, Optimization and Evaluation of Adjacent Intersections Based on VISSIM Model10.22158/asir.v4n2p53 ↗
24. Fellendorf, M. (1994, January 16–19). VISSIM: A Microscopic Simulation Tool to Evaluate Actuated Signal Control Including Bus Priority. Proceedings of the 64th Institute of Transportation Engineers Annual Meeting, Dallas, TX, USA.
25. Chauhan, B., Joshi, G., and Parida, P. (2020). Speed Trajectory of Vehicles in VISSIM to Recognize Zone of Influence for Urban-Signalized Intersection. Recent Advances in Traffic Engineering, Springer.10.1007/978-981-15-3742-4_31 ↗
26. Guze, S. (2019). Graph Theory Approach to the Vulnerability of Transportation Networks. Algorithms, 12.10.3390/a12120270 ↗
27. Calibration of Vehicle and Driver Characteristics in VISSIM and ANN-Based Sensitivity Analysis10.34196/IJM.00219 ↗