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GIS and geographical analysis of the main harbors in the world

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2021
GIS and geographical analysis_open_geo-2020-0223 (3.452Mb)
Authors
Valjarević, Aleksandar
Radovanović, Dragan
Šoškić, Svetislav
Bačević, Nikola
Milentijević, Nikola
Golijanin, Jelena
Ivanović, Marko
Article (Published version)
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Abstract
This paper points out the possibilities of better exploitation of marine traffic as well as its connection with other kinds of traffic. Special attention is given to the analysis of 1,081 harbors about their availability during the year. The methods and algorithms used in GIS are buffers, cluster, method of interpolations, and network analysis. The methods used for the purpose of conducting numerical analyses are algorithms that served for the analysis of the network, its transport features, and the connectivity with harbors in terms of geospace. The main results found in this research showed that harbors have good connectivity in the first place with road traffic and after that with air and railroad traffic. According to data from 2019, all traffic lines cover 4.1 × 1015 km, and the road traffic has the most significant potential in connection with the harbors. The most connected harbors and airports are in the east coast of North America, west coast, north Europe, southern Europe, so...uth-east Australia, a central part of Oceania, and south-east Africa. The results in the modified Likert scale between airports and harbors showed medium results. The densest road network is located in the eastern part of USA, western and central part of Europe, and east coast of China. The number of possible connected lines between main road nodes and harbors is 0.8 × 109. This type of traffic showed excellent results and connection with harbors. The number of possible connected lines per month between railroads and harbors is 1.3 × 103. This type of traffic showed low connectivity with the harbors. In the end comparison of harbors with air, road and railroad networks were established. The geographical position of harbors was analyzed, and better understanding was performed on a global scale.

Keywords:
harbors / traffic / geographical position / mapping / GIS analysis / nodes / network properties
Source:
Open Geosciences, 2021, 13, 1, 639-650
Publisher:
  • De Gruyter
Funding / projects:
  • Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education (RS-44006)
  • Studying climate change and its influence on environment: impacts, adaptation and mitigation (RS-43007)

DOI: 10.1515/geo-2020-0223

ISSN: 2391-5447

WoS: 000683473400001

Scopus: 2-s2.0-85108228906
[ Google Scholar ]
3
1
Handle
https://hdl.handle.net/21.15107/rcub_gery_1113
URI
https://gery.gef.bg.ac.rs/handle/123456789/1113
Collections
  • Radovi istraživača
Institution/Community
Geografski fakultet
TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Radovanović, Dragan
AU  - Šoškić, Svetislav
AU  - Bačević, Nikola
AU  - Milentijević, Nikola
AU  - Golijanin, Jelena
AU  - Ivanović, Marko
PY  - 2021
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1113
AB  - This paper points out the possibilities of better exploitation of marine traffic as well as its connection with other kinds of traffic. Special attention is given to the analysis of 1,081 harbors about their availability during the year. The methods and algorithms used in GIS are buffers, cluster, method of interpolations, and network analysis. The methods used for the purpose of conducting numerical analyses are algorithms that served for the analysis of the network, its transport features, and the connectivity with harbors in terms of geospace. The main results found in this research showed that harbors have good connectivity in the first place with road traffic and after that with air and railroad traffic. According to data from 2019, all traffic lines cover 4.1 × 1015 km, and the road traffic has the most significant potential in connection with the harbors. The most connected harbors and airports are in the east coast of North America, west coast, north Europe, southern Europe, south-east Australia, a central part of Oceania, and south-east Africa. The results in the modified Likert scale between airports and harbors showed medium results. The densest road network is located in the eastern part of USA, western and central part of Europe, and east coast of China. The number of possible connected lines between main road nodes and harbors is 0.8 × 109. This type of traffic showed excellent results and connection with harbors. The number of possible connected lines per month between railroads and harbors is 1.3 × 103. This type of traffic showed low connectivity with the harbors. In the end comparison of harbors with air, road and railroad networks were established. The geographical position of harbors was analyzed, and better understanding was performed on a global scale.
PB  - De Gruyter
T2  - Open Geosciences
T1  - GIS and geographical analysis of the main harbors in the world
VL  - 13
IS  - 1
SP  - 639
EP  - 650
DO  - 10.1515/geo-2020-0223
ER  - 
@article{
author = "Valjarević, Aleksandar and Radovanović, Dragan and Šoškić, Svetislav and Bačević, Nikola and Milentijević, Nikola and Golijanin, Jelena and Ivanović, Marko",
year = "2021",
abstract = "This paper points out the possibilities of better exploitation of marine traffic as well as its connection with other kinds of traffic. Special attention is given to the analysis of 1,081 harbors about their availability during the year. The methods and algorithms used in GIS are buffers, cluster, method of interpolations, and network analysis. The methods used for the purpose of conducting numerical analyses are algorithms that served for the analysis of the network, its transport features, and the connectivity with harbors in terms of geospace. The main results found in this research showed that harbors have good connectivity in the first place with road traffic and after that with air and railroad traffic. According to data from 2019, all traffic lines cover 4.1 × 1015 km, and the road traffic has the most significant potential in connection with the harbors. The most connected harbors and airports are in the east coast of North America, west coast, north Europe, southern Europe, south-east Australia, a central part of Oceania, and south-east Africa. The results in the modified Likert scale between airports and harbors showed medium results. The densest road network is located in the eastern part of USA, western and central part of Europe, and east coast of China. The number of possible connected lines between main road nodes and harbors is 0.8 × 109. This type of traffic showed excellent results and connection with harbors. The number of possible connected lines per month between railroads and harbors is 1.3 × 103. This type of traffic showed low connectivity with the harbors. In the end comparison of harbors with air, road and railroad networks were established. The geographical position of harbors was analyzed, and better understanding was performed on a global scale.",
publisher = "De Gruyter",
journal = "Open Geosciences",
title = "GIS and geographical analysis of the main harbors in the world",
volume = "13",
number = "1",
pages = "639-650",
doi = "10.1515/geo-2020-0223"
}
Valjarević, A., Radovanović, D., Šoškić, S., Bačević, N., Milentijević, N., Golijanin, J.,& Ivanović, M.. (2021). GIS and geographical analysis of the main harbors in the world. in Open Geosciences
De Gruyter., 13(1), 639-650.
https://doi.org/10.1515/geo-2020-0223
Valjarević A, Radovanović D, Šoškić S, Bačević N, Milentijević N, Golijanin J, Ivanović M. GIS and geographical analysis of the main harbors in the world. in Open Geosciences. 2021;13(1):639-650.
doi:10.1515/geo-2020-0223 .
Valjarević, Aleksandar, Radovanović, Dragan, Šoškić, Svetislav, Bačević, Nikola, Milentijević, Nikola, Golijanin, Jelena, Ivanović, Marko, "GIS and geographical analysis of the main harbors in the world" in Open Geosciences, 13, no. 1 (2021):639-650,
https://doi.org/10.1515/geo-2020-0223 . .

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