In this paper, we examine the development of the Chinese high-speed rail (HSR) network over the period 2003–2014. Our methodology relies on network analysis to identify changes over time in HSR network accessibility measured by node degree, strength, closeness, and betweenness. We show that sub-networks connecting regional centres with second-tier cities are first built. Once such sub-networks are mostly established, they are also connected with each other. Moreover, a simultaneous rather than a sequential schedule for multiple HSR segments is at place at any particular time. Finally, we show that the HSR network expands all the lower-elevation, more populous and prosperous regions. Although some clusters are critical politically, HSR network development is still mainly driven by economic factors, which is reflected from the fact that nodes in the more economically vibrant regions present a higher number of routes passing through and higher service quality (i.e., lower travel time). Finally, in order to illustrate the uniqueness of the Chinese HSR development pattern, we briefly discuss and compare the HSR development in other Asian markets, notably Taiwan, South Korea and Japan.
Graph theoretical analysis of the Chinese high-speed rail network over time / Chen, Cheng; D'Alfonso, Tiziana; Guo, Huanxiu; Jiang, Changmin. - In: RESEARCH IN TRANSPORTATION ECONOMICS. - ISSN 0739-8859. - 72:(2018), pp. 3-14. [10.1016/j.retrec.2018.07.030]
Graph theoretical analysis of the Chinese high-speed rail network over time
D'Alfonso, Tiziana;
2018
Abstract
In this paper, we examine the development of the Chinese high-speed rail (HSR) network over the period 2003–2014. Our methodology relies on network analysis to identify changes over time in HSR network accessibility measured by node degree, strength, closeness, and betweenness. We show that sub-networks connecting regional centres with second-tier cities are first built. Once such sub-networks are mostly established, they are also connected with each other. Moreover, a simultaneous rather than a sequential schedule for multiple HSR segments is at place at any particular time. Finally, we show that the HSR network expands all the lower-elevation, more populous and prosperous regions. Although some clusters are critical politically, HSR network development is still mainly driven by economic factors, which is reflected from the fact that nodes in the more economically vibrant regions present a higher number of routes passing through and higher service quality (i.e., lower travel time). Finally, in order to illustrate the uniqueness of the Chinese HSR development pattern, we briefly discuss and compare the HSR development in other Asian markets, notably Taiwan, South Korea and Japan.File | Dimensione | Formato | |
---|---|---|---|
Chen_Graph-theoretical_2018.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
3.27 MB
Formato
Adobe PDF
|
3.27 MB | Adobe PDF | Contatta l'autore |
Chen_preprint_Graph-theoretical_2018.pdf
accesso aperto
Note: https://doi.org/10.1016/j.retrec.2018.07.030
Tipologia:
Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
2.96 MB
Formato
Adobe PDF
|
2.96 MB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.