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高速铁路对中国航空客流量的影响。

The implications of high-speed railways on air passenger flows in China.

作者信息

Yang Haoran, Burghouwt Guillaume, Wang Jiaoe, Boonekamp Thijs, Dijst Martin

机构信息

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China.

Department of Human Geography and Planning, Utrecht University, The Netherlands.

出版信息

Appl Geogr. 2018 Aug;97:1-9. doi: 10.1016/j.apgeog.2018.05.006. Epub 2018 May 28.

Abstract

The High-speed Railway (HSR) network in China is the largest in the world, competing intensively with airlines for inter-city travel. Panel data from 2007 to 2013 for 138 routes with HSR-air competition were used to identify the ex-post impacts of the entry of HSR services, the duration of operating HSR services since entry, and the specific impacts of HSR transportation variables such as travel time, frequency, and ticket fares on air passenger flows in China. The findings show that the entry of new HSR services in general leads to a 27% reduction in air travel demand. After two years of operating HSR services, however, the negative impact of HSR services on air passenger flows tends to further increase. The variations of the frequency in the temporal dimension and the travel time in the spatial dimension significantly affect air passenger flows. Neither in the temporal nor spatial dimensions are HSR fares strongly related to air passenger flows in China, due to the government regulation of HSR ticket prices during the period of analysis. The impacts of different transportation variables found in this paper are valuable to consider by operational HSR companies in terms of scheduling and planning of new routes to increase their competitiveness relative to airlines.

摘要

中国的高速铁路(HSR)网络是世界上规模最大的,在城际旅行方面与航空公司展开了激烈竞争。利用2007年至2013年138条存在高铁与航空竞争的线路的面板数据,来确定高铁服务进入的事后影响、进入后高铁服务的运营时长,以及高铁运输变量(如旅行时间、频次和票价)对中国航空客流量的具体影响。研究结果表明,新高铁服务的进入总体上导致航空旅行需求下降27%。然而,在高铁服务运营两年后,高铁服务对航空客流量的负面影响往往会进一步加剧。时间维度上的频次变化和空间维度上的旅行时间变化对航空客流量有显著影响。在分析期内,由于政府对高铁票价的管制,无论是在时间维度还是空间维度上,高铁票价与中国航空客流量的关联都不紧密。本文发现的不同运输变量的影响,对于运营中的高铁公司在安排新线路的调度和规划以提高其相对于航空公司的竞争力方面具有重要的参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f4de/7112375/b09e87199040/gr1_lrg.jpg

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