Modeling of container throughput in Northern Adriatic ports over the period 1990–2013
This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The mo...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Twrdy, Elen [verfasserIn] |
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E-Artikel |
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Englisch |
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2016transfer abstract |
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12 |
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Enthalten in: Elections, competition, and constituent evaluations of U.S. senators - Sievert, Joel ELSEVIER, 2021, the international journal focusing on transport and spatial change, Amsterdam [u.a.] |
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volume:52 ; year:2016 ; pages:131-142 ; extent:12 |
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10.1016/j.jtrangeo.2016.03.005 |
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| 520 | |a This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. | ||
| 520 | |a This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. | ||
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10.1016/j.jtrangeo.2016.03.005 doi GBVA2016017000018.pica (DE-627)ELV040145719 (ELSEVIER)S0966-6923(16)00045-4 DE-627 ger DE-627 rakwb eng 380 910 380 DE-600 910 DE-600 320 VZ 89.00 bkl Twrdy, Elen verfasserin aut Modeling of container throughput in Northern Adriatic ports over the period 1990–2013 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. Batista, Milan oth Enthalten in Elsevier Science Sievert, Joel ELSEVIER Elections, competition, and constituent evaluations of U.S. senators 2021 the international journal focusing on transport and spatial change Amsterdam [u.a.] (DE-627)ELV007332092 volume:52 year:2016 pages:131-142 extent:12 https://doi.org/10.1016/j.jtrangeo.2016.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 89.00 Politologie: Allgemeines VZ AR 52 2016 131-142 12 045F 380 |
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10.1016/j.jtrangeo.2016.03.005 doi GBVA2016017000018.pica (DE-627)ELV040145719 (ELSEVIER)S0966-6923(16)00045-4 DE-627 ger DE-627 rakwb eng 380 910 380 DE-600 910 DE-600 320 VZ 89.00 bkl Twrdy, Elen verfasserin aut Modeling of container throughput in Northern Adriatic ports over the period 1990–2013 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. Batista, Milan oth Enthalten in Elsevier Science Sievert, Joel ELSEVIER Elections, competition, and constituent evaluations of U.S. senators 2021 the international journal focusing on transport and spatial change Amsterdam [u.a.] (DE-627)ELV007332092 volume:52 year:2016 pages:131-142 extent:12 https://doi.org/10.1016/j.jtrangeo.2016.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 89.00 Politologie: Allgemeines VZ AR 52 2016 131-142 12 045F 380 |
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10.1016/j.jtrangeo.2016.03.005 doi GBVA2016017000018.pica (DE-627)ELV040145719 (ELSEVIER)S0966-6923(16)00045-4 DE-627 ger DE-627 rakwb eng 380 910 380 DE-600 910 DE-600 320 VZ 89.00 bkl Twrdy, Elen verfasserin aut Modeling of container throughput in Northern Adriatic ports over the period 1990–2013 2016transfer abstract 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. Batista, Milan oth Enthalten in Elsevier Science Sievert, Joel ELSEVIER Elections, competition, and constituent evaluations of U.S. senators 2021 the international journal focusing on transport and spatial change Amsterdam [u.a.] (DE-627)ELV007332092 volume:52 year:2016 pages:131-142 extent:12 https://doi.org/10.1016/j.jtrangeo.2016.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 89.00 Politologie: Allgemeines VZ AR 52 2016 131-142 12 045F 380 |
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Modeling of container throughput in Northern Adriatic ports over the period 1990–2013 |
| abstract |
This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. |
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This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. |
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This study presents dynamic models to forecast container throughput in the North Adriatic ports of Koper, Trieste, Venice, Ravenna, and Rijeka. Based on the numbers derived, we found a simple but efficient model to forecast the likelihood of increasing or decreasing traffic from year to year. The models are prepared based on available data; they are the Markov-chain annual growth rate model, a time-series trend model, a time-series trend model with periodical terms, and the gray system model. In the second part of the study, we explore a model for analyzing cooperation/competition relationships between these ports using a generalized Lotka–Volterra dynamic system. |
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Modeling of container throughput in Northern Adriatic ports over the period 1990–2013 |
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https://doi.org/10.1016/j.jtrangeo.2016.03.005 |
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Batista, Milan |
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Batista, Milan |
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ELV007332092 |
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| doi_str |
10.1016/j.jtrangeo.2016.03.005 |
| up_date |
2024-07-06T16:46:02.397Z |
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1803848895588990976 |
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