Chinese High-speed Railway: Efficiency Comparison and the Future
Abstract
High-speed railway (HSR) network building was initiated in China in the early 2000s, and full-scale construction began several years later as a larger use phase started in 2008. Thereafter, the expansion speed has been impressive. Network investment could be considered as a success, if evaluating the amount of high-speed railway usage already during the expansion phase. The diffusion models built in this research show that expansion in the network and growth of the passengers will continue at least until the following decade. The performance is evaluated in terms of DEA efficiency model. It is shown that efficiency started from very low levels, but it has been increasing together with the expansion of HSR network. Currently, the efficiency is near the level of the leading European High-speed (HS) countries (Germany and France). However, it is projected with linear model and by Bass diffusion models that the efficiency will reach Japanese and South Korean standards in the next decade. A somewhat larger network length with smaller relative growth of passengers, but with a higher growth of passenger-km seems to be able to reach even the frontier efficiency.
References
Wang L, Liu Y, Mao L, Sun C. Potential impacts of China 2030 high-speed rail network on ground transportation accessibility. Sustainability. 2018;10(4): 1270. Available from: doi:10.3390 /su10041270
He N, Li J, Wang Y, Ma C. Rail-induced traffic in China. Promet – Traffic&Transportation. 2017;29(5): 511-520.
Huang Y. Understanding China’s Belt & Road Initiative: Motivation, framework and assessment. China Economic Review. 2016;40: 314-321.
Du J, Zhang Y. Does One Belt One Road initiative promote Chinese overseas direct investment? China Economic Review. 2018;47: 189-205.
He H. Key challenges and countermeasures with railway accessibility along the Silk Route. Engineering. 2016;2: 288-291.
Jiang Y, Sheu J-B, Peng Z, Yu B. Hinterland patterns of China Railway (CR) express in China under the Belt and Road Initiative: A preliminary analysis. Transportation Research Part E. 2018;119: 189-201.
Hilmola O-P, Henttu V, Panova Y. (2018). Development of Asian landbridge from Finland: Current state and future prospects. 22nd Cambridge International Manufacturing Symposium, University of Cambridge, UK, 27-28 September 2018. Available from: https://www.repository.cam.ac.uk/handle/1810/284350 [Accessed 20th Dec 2018].
Wang Y, Han B-M, Wang J-K. A passenger flow routing model for high-speed railway network in different transportation organization modes. Promet – Traffic & Transportation. 2018;30(6): 671-682.
Gao Y, Li W, You X. Research on the Efficiency Evaluation of China’s Railway Transport Enterprises with Network DEA. China Soft Science. 2011;5: 176-182.
Hilmola O-P. Benchmarking global railway freight transportation efficiency during the period of 1980-2004. International Journal of Shipping and Transport Logistics. 2009;1(4): 311-328.
Hilmola O-P. Global railway passenger transports – Efficiency analysis from period of 1980-2004. International Journal of Logistics Economics and Globalisation. 2009;2(1): 23-39.
Li Y, Li X, Wang S. Does the Reform of the Ministry of Railways and the Entry of High-speed Railway Improve the Technical Efficiency of the Railway Industry? Reform of Economic System. 2018;4: 179-186.
Domernik JE. Performance and efficiency of highspeed rail systems. Transportation Research Procedia. 2015;8: 136-144.
Beria P, Grimaldi R, Albalate D, Bel G. Delusions of success: Costs and demand of high-speed rail in Italy and Spain. Transport Policy. 2018;68: 63-79.
Jiang C, Li X. Low cost carrier and high-speed rail: A macroeconomic comparison between Japan and Western Europe. Research in Transportation Business and Management. 2016;21: 3-10.
Zhang Q, Yang H, Wang Q. Impact of high-speed rail on China’s big three airlines. Transportation Research Part A. 2017;98: 77-85.
Li H, Strauss J, Lu L. The impact of high-speed rail on civil aviation in China. Transport Policy. 2019;74: 187-200.
Álvarez-SanJaime Ó, Cantos-Sanchez P, Moner-Colonques R, Sempere-Monerris JJ. Rail access charges and internal competition in high-speed trains. Transport Policy. 2016;49: 184-195.
Couto A. The effect of high-speed technology on European railway productivity growth. Journal of Rail Transport Planning & Management. 2011;1: 80-88.
Wetwitoo J, Kato H. High-speed rail and regional economic productivity through agglomeration and network externality: A case study of inter-regional transportation in Japan. Case Studies in Transport Policy. 2017;5: 549-559.
Liu L, Zhang M. High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China. Journal of Transport Geography. 2018;73: 25-40.
UIC Railisa – UIC Statistics. Available from: https://uicstats.uic.org/ [Accessed 10th Jan 2019].
National Bureau of Statistics of China. China Statistical Yearbook 2018. China Statistics Press, Beijing. Available from: http://www.stats.gov.cn/tjsj/ndsj/2018/indexeh.htm [Accessed 27th Jan 2019].
Dent HS. The Demographic Cliff – How to Survive and Prosper During the Great Deflation of 2014-2019. New York: Penguin Group; 2014.
OECD. OECD Urban Policy Reviews: China 2015. OECD Urban Policy Reviews, OECD Publishing, Paris. Available from: doi:10.1787/9789264230040-en [Accessed 15th Jan 2019].
World Bank. Urban population (% of total). Available from: https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS?year_high_desc=true [Accessed 22nd March 2019].
Turk T, Trkman P. Bass model estimates for broadband diffusion in European countries. Technological Forecasting and Social Change. 2012;79: 85-96.
Lim J, Nam C, Kim S, Rhee H, Lee E, Lee H. Forecasting 3G mobile subscription in China: A study based on stochastic frontier analysis and a Bass diffusion model. Telecommunications Policy. 2012;36: 858-871.
Ganjeizadeh F, Lei H, Goraya P, Olivar E. Applying lookslike analysis and Bass diffusion model techniques to forecast a neurostimulator device with no historical data. Procedia Manufacturing. 2017;11: 1916-1924.
Lin ETJ. Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis: a comment. Transportation Research Part E: Logistics and Transportation Review. 2007;44(5): 894-899.
Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research. 1978;2(6): 429-444.
Kurosaki F, Alexandersson G. Managing unprofitable passenger rail operations in Japan – Lessons from the experience in Sweden. Research in Transportation Economics. 2018;69: 460-469.
Bertolini L. Future of transport? – Future of cities! Promet – Traffic – Traffico. 1999;11(2-3): 89-95.
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