Lilian Loubet ; Géraldine del Mondo ; Julius Bañgate ; Eric Sanlaville ; Pierrick Tranouez - Modelling the governance of European medium-sized port-cities

cst:11574 - Les Cahiers Scientifiques du Transport - Scientific Papers in Transportation, 29 mai 2024, 80-81 | 2023 - https://doi.org/10.46298/cst.11574
Modelling the governance of European medium-sized port-citiesArticle

Auteurs : Lilian Loubet ORCID1; Géraldine del Mondo 2; Julius Bañgate 2; Eric Sanlaville 2; Pierrick Tranouez 2

The paper presents a model designed to analyse port governance. It considers that thestakeholders ability to adopt cooperative behaviors constitutes the key element to portdevelopment. Its focus is on medium-sized European ports and fifteen cases were studied. Eachterritory was first subject to a qualitative survey and analysis of the contents of local stakeholdersdiscourse (over 80 interviews conducted). The material is rich, allowing for the comparisonbetween two or even three ports, yet the delicate nature of the relations brought to light addsconsiderable complexity to the comparison within a larger ensemble. The paper, therefore,proposes a semi-automatic treatment which helps to mitigate this difficulty by means of acomputer model based on graph theory. It involves a modelling system based on the relationsbetween the entities of the system. In this context, the relations between stakeholders wereanalysed in order to create typologies and eventually envisage some standard models ofgovernance. In order to territorialize the subject, six typical cases out of fifteen were used: LeHavre, Nantes-Saint Nazaire, Dunkirk (France), Gdynia (Poland), Klaipėda (Lituania), Hamina-Kotka (Finland).All these port environments modelled according to a single format (i.e. a graph) led to theapplication of a certain number of metrics which enables them to be compared. Two mainmetrics were presented in the framework of this paper for illustrative purposes: “Density” and“S_metric”. These metrics originating in graph theory, coupled with other indicators (distributionof degrees and number of hubs per port), allowed to measure the relationships' intensity and thedistribution of these intensities among the stakeholders, and to identify the main stakeholders orconversely the least influential.


Volume : 80-81 | 2023
Publié le : 29 mai 2024
Accepté le : 27 novembre 2023
Soumis le : 12 juillet 2023
Mots-clés : governance,port governance,stakeholder,modelling,graph theory,Cooperation,JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation Modeling,JEL: O - Economic Development, Innovation, Technological Change, and Growth/O.O2 - Development Planning and Policy/O.O2.O20 - General,JEL: R - Urban, Rural, Regional, Real Estate, and Transportation Economics/R.R4 - Transportation Economics/R.R4.R49 - Other,JEL: R - Urban, Rural, Regional, Real Estate, and Transportation Economics/R.R5 - Regional Government Analysis/R.R5.R58 - Regional Development Planning and Policy,[SHS.GEO]Humanities and Social Sciences/Geography,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation,[SHS.ARCHI]Humanities and Social Sciences/Architecture, space management,[SHS.ECO]Humanities and Social Sciences/Economics and Finance

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