Analyzing the Railway Network of the Belt and Road Initiative

Rail freight has exhibited significant growth within the last decade between Asia and Europe, especially after the announcement of China’s Belt and Road Initiative in 2013, which consists of seaborne and land routes. Within the latter one, this paper focuses on the railroad network that consists of...

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Autores principales: Yilmaz Uygun, Jahanzeb Ahsan
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2021
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Acceso en línea:https://doaj.org/article/fe89b695b1d4452881318411183c1f93
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spelling oai:doaj.org-article:fe89b695b1d4452881318411183c1f932021-12-02T16:24:48ZAnalyzing the Railway Network of the Belt and Road Initiative2331-197510.1080/23311975.2021.1932066https://doaj.org/article/fe89b695b1d4452881318411183c1f932021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2021.1932066https://doaj.org/toc/2331-1975Rail freight has exhibited significant growth within the last decade between Asia and Europe, especially after the announcement of China’s Belt and Road Initiative in 2013, which consists of seaborne and land routes. Within the latter one, this paper focuses on the railroad network that consists of six major corridors. Using the software AnyLogic (Version 8), we give a macroscopic model designed as a GIS-based discrete-event model of rail freight from China to Germany under existing border control point capacities, eventually providing a general overview toward the classification of different routes and countries and later ranking them according to their criticality index. This criticality index is computed as a product of time variance and the Logistics Performance Index. The former is obtained through various scenario analyses within the paradigm of shortest route and current border control points having constant capacity, but variable number of trains per day. In an attempt to understand the network under stress, the results obtained from this study also establish the need to increase the processing capacity at border control points to maximize the utilizability of this transcontinental railway network. The results show that lower capacity at border control points leads to higher time for trains to reach their destination. Stakeholders who are actively seeking to expand their Belt and Road Initiative investment or using rail transportation may understand when the network would reach peak performance and what measures could help to accomplish its maximum efficiency.Yilmaz UygunJahanzeb AhsanTaylor & Francis Grouparticlebelt and road initiativesimulationfreightrailwayscapacityborderBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 8, Iss 1 (2021)
institution DOAJ
collection DOAJ
language EN
topic belt and road initiative
simulation
freight
railways
capacity
border
Business
HF5001-6182
Management. Industrial management
HD28-70
spellingShingle belt and road initiative
simulation
freight
railways
capacity
border
Business
HF5001-6182
Management. Industrial management
HD28-70
Yilmaz Uygun
Jahanzeb Ahsan
Analyzing the Railway Network of the Belt and Road Initiative
description Rail freight has exhibited significant growth within the last decade between Asia and Europe, especially after the announcement of China’s Belt and Road Initiative in 2013, which consists of seaborne and land routes. Within the latter one, this paper focuses on the railroad network that consists of six major corridors. Using the software AnyLogic (Version 8), we give a macroscopic model designed as a GIS-based discrete-event model of rail freight from China to Germany under existing border control point capacities, eventually providing a general overview toward the classification of different routes and countries and later ranking them according to their criticality index. This criticality index is computed as a product of time variance and the Logistics Performance Index. The former is obtained through various scenario analyses within the paradigm of shortest route and current border control points having constant capacity, but variable number of trains per day. In an attempt to understand the network under stress, the results obtained from this study also establish the need to increase the processing capacity at border control points to maximize the utilizability of this transcontinental railway network. The results show that lower capacity at border control points leads to higher time for trains to reach their destination. Stakeholders who are actively seeking to expand their Belt and Road Initiative investment or using rail transportation may understand when the network would reach peak performance and what measures could help to accomplish its maximum efficiency.
format article
author Yilmaz Uygun
Jahanzeb Ahsan
author_facet Yilmaz Uygun
Jahanzeb Ahsan
author_sort Yilmaz Uygun
title Analyzing the Railway Network of the Belt and Road Initiative
title_short Analyzing the Railway Network of the Belt and Road Initiative
title_full Analyzing the Railway Network of the Belt and Road Initiative
title_fullStr Analyzing the Railway Network of the Belt and Road Initiative
title_full_unstemmed Analyzing the Railway Network of the Belt and Road Initiative
title_sort analyzing the railway network of the belt and road initiative
publisher Taylor & Francis Group
publishDate 2021
url https://doaj.org/article/fe89b695b1d4452881318411183c1f93
work_keys_str_mv AT yilmazuygun analyzingtherailwaynetworkofthebeltandroadinitiative
AT jahanzebahsan analyzingtherailwaynetworkofthebeltandroadinitiative
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