Competition, Integration, Substitution: Myths and Realities Concerning the Relationship between High-Speed Rail and Air Transport in Europe

Author(s):  
Frédéric Dobruszkes ◽  
Moshe Givoni
Author(s):  
Xin Yuan ◽  
Guo Liu ◽  
Kun Hui Ye

The small-world model provides a useful perspective and method to study the topological structure and intrinsic characteristics of high-speed rail networks (HRNs). In this paper, the P-space method is used to examine global and local HRNs in China, meanwhile the adjacency matrix is developed, then the social network analysis and visualization tool UCINET is used to calculate the spatial and attribute data of HRNs at national and local levels in China. The small-world characteristics of whole HRNs are discussed, three networks which have different properties are determined, and a comparative analysis of the small-world effect is detected. Then, the relationship between the construction of high-speed rail and regional development of China is analysed. The results show that: 1) China's HRNs have small average path length ( L ) and large clustering coefficient (C ), representing a typical small-world network; 2) Local HRNs have a certain correlation with economic development. The reasons for the difference of HRNs with respect to characteristics among regions are eventually discussed.


2009 ◽  
pp. 167-178
Author(s):  
Giovanna Campopiano ◽  
Josip Kotlar ◽  
Andrea Salanti

Air travel routes and high speed rail connection between Milan and Rome after the Alitalia crisis This paper analyses the first available data about changes in passenger traffic and air/rail fares after the Alitalia crisis and the substantial reduction of the travel time between Milan and Rome, due to the improvement of high speed rail on this connection. As recently happened in similar cases within Europe, the rail has gained a significant share of traffic previously attracted by air transport services. Apart from that, a real price competition is prevented by a number of inefficiencies which are mainly due to the monopolistic position of the new Alitalia on the route Milan Linate-Rome Fiumicino and problems of accessibility affecting our airports, and partly our rail stations too. The role of the various authorities potentially involved is burdened, in the last instance, by infrastructural deficiencies.


2019 ◽  
Vol 11 (14) ◽  
pp. 3933 ◽  
Author(s):  
Min Su ◽  
Weixin Luan ◽  
Zeyang Li ◽  
Shulin Wan ◽  
Zhenchao Zhang

The Chinese main air transport network (CMATN) is the framework for air passenger transport in the country. This study uses complex networks and an econometric model to analyze CMATN’s evolution and determinants. In terms of overall network structure, the network has always shown small-world properties, with smaller average path lengths (2.06–2.15) and larger clustering coefficients (0.68–0.77), while its cumulative degree distribution follows an exponential function. City passenger volumes conform to the degree power law function, which means that the more destinations a city connects to, the higher its passenger traffic will be. In major hub cities, such as Beijing, Shanghai, and Guangzhou, control power decreases, while Chengdu, Kunming, Chongqing, Xi’an, Urumqi, and other cities play an increasingly important role in CMATN. In terms of main route passenger volumes and formation, increases in GDP and tourism have had a promoting effect, while high-speed rail (HSR) poses a threat to overlapping routes. CMATN is primarily located in the central and eastern regions, focusing on China’s economy, tourism, and efficient HSR development. Although the competition from HSR affects the overall network structure of CMATN based on its influence on specific routes, we believe that the impact is limited due to the different transport attributes of the two networks. The research results of this study can become an information source for decision makers and provide a reference for air transport to seek sustainable development.


2015 ◽  
Vol 43 ◽  
pp. 59-65 ◽  
Author(s):  
José I. Castillo-Manzano ◽  
Rafael Pozo-Barajas ◽  
Juan R. Trapero

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