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Decision-Making for Maritime Networks: Evaluating Corporate and Social Profitability of an Integrated Short Sea Shipping Network in the Upper Tyrrhenian Sea

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Abstract

This study applies cost benefit analysis (CBA) approaches to evaluate corporate and social profitability of a coordinated management proposal for a Short Sea Shipping (SSS) network in the upper Tyrrhenian area. The profitability of the maritime network is assessed first for the shipping companies operating therein and then for society as a whole. Corporate profitability analysis reveals a supply system currently over-sized compared to actual demand. The reasons for this must be found in the corporate competition strategies that traditionally characterize the free maritime transport market in the area. Social profitability analysis proves the potential positive impact of services rescheduling and coordination in terms of time savings and emission reduction in port areas and demonstrates the benefits new integrated management policies could yield for achieving higher efficiency and sustainability in SSS Tyrrhenian networks.

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Acknowledgements

This research is based upon the Go Smart Med Project funded under the Interreg IT-FR Maritime Program 2014–2020.

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Correspondence to Patrizia Serra .

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Appendix 1 - Percentage Increase in Demand Over the 25 Years

Appendix 1 - Percentage Increase in Demand Over the 25 Years

Year

0

1

2

3

4

5

6

Annual increase (%)

1.56

0.500

0.500

0.500

0.500

0.500

Cumulative increase (%)

0

1.56

2.07

2.58

3.10

3.61

4.13

Demand (Ro-Ro units/year)

6,726

6,831

6,865

6,900

6,934

6,969

7,004

Year

7

8

9

10

11

12

13

Annual increase (%)

0.500

0.500

0.500

0.500

0.250

0.250

0.250

Cumulative increase (%)

4.65

5.17

5.70

6.23

6.49

6.76

7.03

Demand (Ro-Ro units/year)

7,039

7,074

7,109

7,145

7,163

7,181

7,199

Year

14

15

16

17

18

19

20

Annual increase (%)

0.250

0.250

0.250

0.250

0.250

0.250

0.250

Cumulative increase (%)

7.29

7.56

7.83

8.10

8.37

8.64

8.91

Demand (Ro-Ro units/year)

7,217

7,235

7,253

7,271

7,289

7,307

7,325

Year

21

22

23

24

25

  

Annual increase (%)

0.125

0.125

0.125

0.125

0.125

  

Cumulative increase (%)

9.05

9.19

9.32

9.46

9.60

  

Demand (Ro-Ro units/year)

7,335

7,344

7,353

7,362

7,371

  

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Fancello, G., Serra, P., Carta, M., Aramu, V., Fadda, P. (2020). Decision-Making for Maritime Networks: Evaluating Corporate and Social Profitability of an Integrated Short Sea Shipping Network in the Upper Tyrrhenian Sea. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12255. Springer, Cham. https://doi.org/10.1007/978-3-030-58820-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-58820-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58819-9

  • Online ISBN: 978-3-030-58820-5

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