Skip to main content
Log in

A network flow model of the Northern Italy waterway system

  • Research Paper
  • Published:
EURO Journal on Transportation and Logistics

Abstract

The objective of this study was to develop a mathematical programming model, namely a network flow model, to provide insight into the potential capacity of the Northern Italy waterway system. We estimate the potential flow that can be transferred between the Adriatic sea and inland harbors through the waterway system made of the river Po and its surrounding canals. For this purpose a network flow model was developed, where the capacity of each arc depends on specific characteristics such as the presence of locks or one-way transit bottlenecks. The capacity of the harbors was modeled according to the number of quays and cranes available for freight transfer operations. The mathematical formulation of the problem leads to a variation of the classical maximum flow problem on capacitated networks that is easily solvable to proven optimality in a negligible computing time by any linear programming solver. Several scenarios were studied, with and without navigation in the Adriatic sea, with limited or unlimited navigation along given parts of the river. Future possible scenarios were also considered to evaluate the impact of infrastructure interventions to empower some inland harbors and to make some parts of river Po adapt to higher class barges. This mathematical programming approach based on a network flow model allows for quickly solving realistic problem instances; furthermore it provides quantitative information about bottlenecks, corresponding to binding constraints, owing to post-optimal sensitivity analysis. This provides useful indications for a rational allocation of scarce financial resources to make the waterway system a viable and convenient alternative to other transportation means.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Agnetis A, Grande E, Mirchandani PB, Pacifici A (2009) Covering a line segment with variable radius discs. Comput Oper Res 36:1423–1436

    Article  Google Scholar 

  • Carroll JL, Bronzini MS (1973) Waterway transportation simulation models: development and application. Water Resour Res 9(1):51–63

    Article  Google Scholar 

  • GNU Linear Programming Kit (2014) http://www.gnu.org/software/glpk/. Accessed 9 Jan 2014

  • Guenther E, Luebbecke ME, Moehring RH (2010) Ship traffic optimization for the Kiel canal. In: Proceedings of the seventh triennial symposium on transportation analysis

  • Mitchell K, Wang B, Khodakarami M (2013) Selection of dredging projects for maximizing waterway system performance. Transp Res Rec 2330(1):39–46

    Article  Google Scholar 

  • Ting C-J, Schonfeld P (1998) Optimization through simulation of waterway transportation investments. Transp Res Rec 1620(1):11–16

    Article  Google Scholar 

  • Wang S, Schonfeld P (2005) Scheduling interdependent waterway projects through simulation and genetic optimization. J Waterw Port Coast Ocean Eng 131(3):89–97

    Article  Google Scholar 

  • Masterplan project (2014) http://www.alot.it/en/masterplan. Accessed 3 Aug 2014

Download references

Acknowledgments

This study was developed for ALOT—Agenzia della Lombardia Orientale per i Trasporti e la logistica through the consortium Crema Ricerche. The author acknowledges the kind collaboration of Guido Piccoli (ALOT), Roberto Zaglio (ALOT) and Alessandra Ginelli (Crema Ricerche). The observations and comments of three anonymous referees on the original manuscript allowed for significant improvements.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giovanni Righini.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Righini, G. A network flow model of the Northern Italy waterway system. EURO J Transp Logist 5, 99–122 (2016). https://doi.org/10.1007/s13676-014-0068-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13676-014-0068-y

Keywords

Navigation