DEVELOPMENT OF THE TRANS-EUROPEAN TRANSPORT NETWORK. MODELING DEVELOPMENT SCENARIOS USING FCM

1 MRÓWCZYŃSKA Maria,BAZAN-KRZYWOSZAŃSKA Anna
Co-authors:
1 SKIBA Marta 2 WITKOWSKI Krzysztof
Institutions:
1 University of Zielona Góra, Faculty of Civil Engineering Architecture and Environmental Engineering, Poland, EU
2 University of Zielona Góra, Faculty of Economics and Management, Poland, EU
Conference:
7th Carpathian Logistics Congress, ALEXANDRA WELLNESS HOTEL, Liptovsky Jan, Slovakia, EU, June 28th - 30th 2017
Proceedings:
Proceedings 7th Carpathian Logistics Congress
Pages:
383-389
ISBN:
978-80-87294-74-1
ISSN:
2694-9318
Published:
30th November 2017
Proceedings of the conference were published in Web of Science.
Metrics:
392 views / 165 downloads
Abstract

National logistics systems can create a single integrated economy, therefore the problem of choosing locations and connecting logistics centres to the network should be one of the most important planning tasks in the area of spatial development. For research purposes, research was carried out in which 150 students of Logistics from 2nd year of study, formulated cognitive maps for the location of logistics centers with a network of links. The Fuzzy Cognitive Mapping (FCM) approach is based on scenarios that allow the user to identify and controlimportant parameters affecting the market and analyze their dynamic behavior. It also provides extensive interpretations of what the future can bring. The FCM scenarios developed in this study are based on an intuitive logic approach combined with expert aggregation analysis.The scenarios presented in the article are based on social and environmental analysis to determine the impact of parameters on the decision-making process regarding the location of logistics centers. Typically, the identification process is carried out primarily through interviews with experts or based on literary research. The use of modern FCM tools facilitates and speeds up the scenario creation process, as this method allows the identification of all components and determination of the most important connections between the factors in the analyzed system. The resulting scenarios are not based on speculative forecasts but are consistent and reliable.

Keywords: logistics centre, fuzzy cognitive maps

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