Abstract

This study examines the interrelatedness between the hierarchical structure of China׳s urban system and high-speed railway (HSR) network planning at the national level. As a multi-layered system, the Chinese HSR can be categorized into three sub-networks, namely, the national HSR trunk network, the national HSR extensional network, and the intercity HSR network. By examining the direct HSR network connection, HSR nodal connection, and HSR operational frequency of 287 prefecture-level cities, this study demonstrates that the hierarchies of China׳s administrative, demographic, and economic urban systems strongly influence HSR network planning. The national HSR trunk network prioritizes the connection of top-level central cities, whereas the extensional network prioritizes cities at the lower level of the urban system. Moreover, the national HSR system forms the backbone of the HSR network structure based on a national scale, whereas the intercity HSR system satisfies the travel needs within urban agglomerations based on the regional level.

Keywords

National high-speed railway trunk network ; National high-speed railway extensional network ; Intercity high-speed railway network ; Hierarchical urban system ; Network planning ; China

1. Introduction

Hierarchy is an essential phenomenon in transport networks. Immers et al. (2004) stated that hierarchical transport networks result from the interaction between the demand and supply of the transport system. In the long run, the highly intensive usage of some routes can lead to improved facilities and investments, while the less used routes become neglected. In this way, the hierarchy of the network is continuously strengthened. Immers et al. argued that the railway networks developed in the early 19th century accelerated the hierarchical development of transport networks and spatial structures. Wang et al. (2012) suggested that each transport mode has its own network hierarchies, which depend on the territorial scales and other natural and social factors in a particular country.

Hierarchical transport networks are embedded in the hierarchy of urban networks. Several scholars have investigated the close interrelationships between these two systems. The pioneering study of Haggett et al. (1977) revealed that transport network development is an evolutionary process resulting from the substitution of routes among successively higher-order centers and the emergence of an urban hierarchy. Van Nes (2002) showed that the hierarchy in transport network levels is closely linked to that in settlements, and that each transport network level connects cities of a specific rank to higher-ranking cities. Immers et al. (2004) suggested that when planning an ideal transport network, one should first define how many and which cities should be incorporated in such network and in what order of importance. Although the abovementioned studies provide clear insights about the hierarchy phenomenon, transport networks must be investigated along with the existing hierarchical structure of urban systems to understand the logical structure of transport systems.

Regarded as the “transport modes of the future” (UIC, 2010 ), high-speed rail (HSR) networks are rapidly expanding in many countries. A long-term national HSR network was enthusiastically planned and implemented in China over the past decade. From 2004 to 2014, more than 11,000 km of new HSR routes were utilized for service.1 By 2020, the Chinese HSR network is expected to reach approximately 18,000 km, which accounts for more than half of the overall length of HSRs worldwide (Zhang and Nie, 2010 ). However, compared with such an unprecedented HSR network expansion, the hierarchical structure of China׳s HSR network planning remains a “black box” (Graham and Marvin, 2003 ). Only few studies have investigated the interrelatedness between Chinese HSR network planning and urban hierarchies, especially at the national level (e.g., Wang and Long, 2009  ;  Wang and Jiao, 2014 ). The majority of existing research focuses on how HSR improves the accessibility of hub cities or changes the spatiotemporal structure of urban agglomerations. In other words, HSR is only of peripheral interest and serves as a tool to analyze the urban system.

This study, which focuses on the interrelatedness between HSR network planning and urban system, considers the opposite. It investigates the hierarchical urban network that is spatially linked by the HSR system to reveal the embedded rationalities of the hierarchical HSR network planning of China. Accordingly, this research aims to answer the following fundamental question: What are the roles of the urban system in the formation of the Chinese hierarchical HSR network?

Several research methods are adopted to answer this question. First, while HSR network planning belongs to the transport engineering domain, the urban system is the product of political, economic, and social developments and involves a group of complex and overlapping subjects. A multi-disciplinary method must be applied to investigate such ubiquitous dichotomy. Second, this research is also case-based. Given its large territories, China has coexisting multi-layers of HSR transport networks and urban networks, which provide an excellent opportunity to explore the interaction mechanism between these systems. Third, mapping is performed to bridge these systems and to represent, understand, and visualize their spatial structures. When these systems overlap on the same scale, their spatial relationships can be observed intuitively, thereby providing a direct entry point for further analysis.

The rest of this paper is structured as follows. First, Section 2 focuses on HSR network planning at the national level. Three HSR sub-categories are investigated, namely, the national HSR trunk network, the national HSR extensional network, and the intercity HSR network. Section 3 analyzes the urban systems that are linked by the HSR from the administrative, demographic, and economic perspectives. Section 4 explains how the Chinese urban system affects the formation of the hierarchical HSR system.

2. HSR network planning in China

The planning of China׳s HSR system commenced in the early 1990s, with the proposal to build the HSR line between Beijing and Shanghai in 1990 being one of the earliest attempts to construct an HSR system.2 Since then, numerous feasibility studies and debates have focused on the development of an HSR network in China. After more than 10 years of preparation, the State Council of China approved the Mid-to-Long Term Railway Development Plan in 2004, and then revised the same plan in 2008.3 Given that all relevant working programs of HSRs are subsequently compiled to implement this central policy, the Mid-to-Long Term Railway Development Plan is considered the most important guide to HSR development in China (Wang and Zhou, 2008 ). In this Plan, the expansion of HSR networks was scheduled as a long-range development process to be terminated in 2020. The Plan divided the Chinese HSR network into two major parts, namely, the national grid of passenger-dedicated lines (national HSR) and the regional passenger-dedicated lines (intercity HSR). The national HSR can be further divided into trunk and extensional networks.

Figure 1 illustrates the national HSR trunk network in the 2004–2008 Plan. The national HSR trunk grid comprises eight HSR trunk lines (i.e., four lines running north–south, and four lines going east–west). These lines are also known as the “Four Vertical” and “Four Horizontal” lines respectively.


Figure 1.


Figure 1.

National HSR trunk lines in the Mid-to-Long Term Railway Development Plan. Source : Elaborated by the author based on the map from the Mid-to-Long Term Railway Development Plan (2008 version).

Three of the Four Vertical lines (Beijing–Shanghai, Beijing–Guangzhou, and Shanghai–Shenzhen HSR) form a triangle that links the three most important economic zones of China, namely, the Circum–Bohai Sea, Yangtze River Delta, and Pearl River Delta Economic Zone. The Beijing–Harbin HSR incorporates the northeast part of China into the HSR network. The Four Horizontal lines, which are roughly parallel with one another, penetrate from the more developed eastern regions to the less developed central and west regions. The distances between these four lines are approximately 300–500 km, thereby forming a relatively homogeneous east–west HSR grid. The total length of the eight HSR trunk lines is 13,327 km, 78% of which (10,389 km) have been utilized as of the end of 2014 (Table 1 ).

Table 1. Planning and implementation of the “Four Vertical, Four Horizontal” national HSR corridors. Source: Compiled by the author from the Mid-to-Long Term Railway Development Plan issued by the Transportation Department of National Development and Reform Commission (2005, 2008), the Statistical Yearbook of Chinese Railways 2005–2013, and the official website of the National Administration of the People’s Republic of China.
Name of the HSR line Constituent sections Designed speed (km/h) Length (km) Construction start date Open date
Beijing-Harbin Beijing-Shenyang 350 684 2014.02 2019
Harbin-Dalian 350 904 2007.08 2012.12
Panjin-Yingkou 350 89 2009.05 2013.09
Beijing-Shanghai Beijing-Shanghai 350 1302 2008.04 2011.06
Hefei-Bengbu 350 131 2008.01 2012.10
Beijing-Wuhan-Guangzhou-Shenzhen Beijing-Shijiazhuang 350 281 2008.10 2012.12
Shijiazhuang-Wuhan 350 838 2008.10 2012.12
Wuhan-Guangzhou 350 968 2005.09 2012.09
Guangzhou-Shenzhen 350 116 2008.08 2009.12
Hangzhou-Fuzhou-Shenzhen Hangzhou-Ningbo 350 152 2009.04 2013.07
Ningbo-Taizhou-Wenzhou 250 268 2005.10 2009.09
Wenzhou-Fuzhou 250 298 2005.01 2009.09
Fuzhou-Xiamen 250 275 2005.10 2010.04
Xiamen-Shenzhen 250 502 2007.11 2013.12
Qingdao-Taiyuan Qingdao-Jinan 250 364 2007.01 2008.12
Jinan-Shijiazhuang 250 319 2014.03 2017
Shijiazhuang-Taiyuan 250 190 2005.06 2009.04
Xuzhou-Lanzhou Xuzhou-Zhengzhou 350 357 2012.12 2016
Zhengzhou-Xi’an 350 455 2005.09 2010.02
Xi’an-Baoji 350 148 2009.11 2013.12
Baoji-Lanzhou 350 403 2012.10 2017
Shanghai-Wuhan-Chengdu Shanghai-Nanjing 350 301 2008.07 2010.07
Nanjing-Hefei 250 166 2005.06 2008.04
Hefei-Wuhan 250 351 2005.08 2009.04
Wuhan-Yichang 250 293 2008.08 2012.07
Yichang-Lichuan 200 377 2003.12 2010.12
Lichuan-Chongqing 200 264 2008.12 2013.12
Chongqing-Suining 200 132 2009.01 2012.12
Suining -Chengdu 200 148 2005.05 2009.06
Shanghai-Kunming Shanghai-Hangzhou 350 150 2009.02 2010.10
Hangzhou-Changsha 350 926 2009.12 2014.12
Changsha-Kunming 350 1175 2010.03 2016
Total 13,327

However, planning the eight national HSR trunk corridors was not the end of the story. After the 2008 World Financial Crisis, the Chinese government proposed the “Four Trillion (RMB) Stimulus Program,” which further reinforced investments on the HSR system (Wang et al., 2012). Since then, the Chinese national HSR network was expanded aggressively. Table 2 shows that more than 9743 km of HSR lines have been newly developed in the country, of which 4210 km (43.2%) have been utilized as of the end of 2014.

Table 2. Extension of national high-speed lines in addition to the “4+4” framework (until the end of 2014). Source: Compiled by the author from the Statistical Yearbook of Chinese Railways 2005–2013 and the official website of the National Administration of the People׳s Republic of China.
Name of the HSR line Sections Designed speed (km/h) Length (km) Construction start date Open date
Tianjin-Shenyang Tianjin-Qinhuangdao 350 261 2008 2013.12
Qinhuangdao-Shenyang 250 404 1999 2003.07
Guangxi Coastal Nanning-Qinzhou 250 99 2008.12 2013.12
Qinzhou-Fangchenggang 250 63 2009.06 2013.12
Qinzhou-Beihai 250 100 2009.06 2013.12
Chengdu-Guangzhou Chengdu-Guiyang 250 633 2013.12 2019
Guiyang-Guangzhou 300 857 2008.10 2014.12
Datong-Xi’an Datong-Taiyuan 250 209 2004.08 2016
Taiyuan-Xi’an 250 650 2009.12 2014.07
Tianjin-Baoding 250 158 2010.09 2015
Beijing-Zhangjiakou 250 173 2015 2018
Zhangjiakou-Hohhot 250 286 2014.05 2018
Zhangjiakou-Datong 250 137 2015 2018
Lanzhou-Hami-Urumqi 300 1776 2010.03 2014.12
Hefei-Fuzhou 350 808 2009.12 2015
Xi’an-Chengdu 250 643 2012.10 2018
Chengdu-Guiyang 250 632 2013.12 2019
Kunming-Nanning 250 710 2009.12 2015
Jilin-Hunchun 250 359 2010.10· 2015
Zhengzhou-Wanzhou 250 785 2015
Total 9,743

Figure 2 shows the spatial distribution of national HSR trunk lines, the newly planned HSR lines, and the fast-speed rail lines.4 Spatially, the newly planned HSR lines can be regarded as branches and extensions of the trunk lines or the linking lines among trunk lines. Therefore, we consider these newly planned HSR lines as the national HSR extensional lines.


Figure 2.


Figure 2.

Extension of the national high-speed railway network until 2014. Source : Elaborated by the author.

Another product of aggressive planning, the intercity HSR system refers to those HSR lines that are designed to connect a group of cities within integrated metropolitan areas. In the 2004 Plan, the intercity HSR system was only planned to be located in the three most important urban agglomerations in China, namely, Circum–Bohai Sea, Yangtze River Delta, and Pearl River Delta. However, in the 2008 Plan, the number of agglomerations with intercity HSR plans increased to nine (Figure 3 ). Although the nine urban agglomerations only account for 18.4% of the national territory, their populations account for nearly 54.8% of the total and their GDPs account for 76.7% of the national output (Table 3 ). Therefore, the planned intercity HSR system is located within urban agglomerations where the population, economic, and social activities of the country are most concentrated.


Figure 3.


Figure 3.

Nine urban agglomerations with intercity HSR planning. Source: Elaborated by the author.

Table 3. Top nine urban agglomerations with intercity HSR connections (2008). Source: Compiled by the author from the Statistical Yearbook of China, 2009.
Name of urban agglomeration Prefecture-level cities or above Size (10,000 km2) Population (one million) GDP (10 million Yuan)
Circum-Bohai Sea 44 52.3 230.4 77,564.7
Yangtze River Delta 30 16.6 150.0 69,522.1
Pearl River Delta 31 18.0 95.4 35,696.5
Chang-Zhu-Tan 3 2.8 13.2 4,565.3
Cheng-Yu 22 56.8 111.0 17,602.9
Zhongyuan 8 4.4 35.3 8,814.5
Wuhan 9 5.8 31.7 3,132.9
Guanzhong 6 8.0 25.4 4,461.1
Fujian 9 12.4 34.8 10,823.1
Total 162 177.1 727.2 232,183.0
National total 333 960.0 1,328.0 302,853.4

3. Hierarchical structure of HSR-related urban networks

3.1. Political structure of the urban network connected by the HSR

China consists of various administrative-territorial levels of government. The administrative level can be divided into central and local. The local government includes four-tier administrative levels, namely, provincial, prefecture, county,5 and township (Chung and Lam, 2004 ). Accordingly, the administrative division of the nation׳s territory can be categorized into four levels (Figure 4 ). Provinces, national autonomous regions, direct-controlled municipalities, and special administrative regions are all provincial-level territories. Various territorial entities can also be found at the prefecture, county, and township levels.


Figure 4.


Figure 4.

Administrative-territorial levels of government in China. Source : Elaborated by the author.

From a city-based perspective, mainland China had 31 provincial-level cities,6 333 prefectural-level cities, 2852 county-level cities, and 40,446 townships and towns7 as of the end of 2012. Figure 4 reveals that different administrative divisions of territories form a hierarchical structure in which political power can be transmitted across levels. Each village committee is under the authority of its corresponding township or town, which in turn is under the authority of the government of its upper country-level city. Such pyramidal administrative hierarchy increases at each layer until it reaches the provincial level. In other words, provincial-level cities are at the top of China׳s urban administrative hierarchy.

Figure 5 shows that the HSR network plans to incorporate as many provincial-level cities as possible. At the end of 2014, all other provincial-level cities in mainland China, except for Lhasa, have been connected by the planned HSR system. Specifically, 24 (80%) out of 30 provincial-level cities are linked by the national HSR trunk lines, while the remaining cities, most of which are located in the west of China, are connected by the HSR extensional lines. The intercity HSR system is closely related with the provincial-level cities. Among the 21 planned intercity HSR lines, 4 directly connect two provincial-level cities, while 14 connect the provincial-level cities with their surrounding regions.


Figure 5.


Figure 5.

Connection of provincial capital cities by the HSR network. Source : Elaborated by the author.

The HSR system not only connects the provincial-level cities but also considers most of these cities as important nodes in the network. A node represents a point in which at least two HSR lines intersect. Nodes are the most important parts of a line because they are the only access points within the system where passengers can transfer from one line to another. Figure 5 shows that among the 30 provincial-level cities that are connected by the HSR lines, 24 are nodes; these nodes account for 70.5% of all nodes in the HSR network. Such a high degree of nodal connection emphasizes the importance of provincial-level cities in shaping the overall spatial structure of the HSR network.

3.2. Demographic and economic structure of the urban network connected by the HSR

Based on population size, the Chinese urban system can be divided into four city-levels, namely, metropolises, large cities, medium cities, and small cities (Ma and Cui, 1987 ). A metropolis is a city with more than 1,000,000 non-agricultural citizens within its municipal district area, while large, medium, and small cities have urban populations ranging between 500,000 and 1,000,000, between 200,000 and 500,000, and 200,000 below, respectively. By emphasizing “non-agricultural population” and “within urban municipal district area,” this city-level classification accurately reflects the actual population size in the urbanized territories.

In accordance with the available data, we focused on 287 cities at or above the prefecture-level in mainland China. Among these cities, there are 55 metropolises (including 13 cities with an urban population of over 3,000,000), 82 large cities, 111 medium cities, and 39 small cities. These four levels have urban populations of 142.7, 57.1, 37.3, and 5.6 million, respectively (Table 4 ). Although metropolises only account for less than 20% of the total number of cities, their urban population accounts for nearly 60%. Both numbers and urban population of large cities account for nearly 25% of the total. However, although the medium and small cities account for more than half of the total number of cities, their urban population only accounts for 18.1% of the total. These statistics demonstrate the extremely uneven spatial distribution of the urban population in China. On the one hand, the majority of the urban population is highly concentrated in a few metropolises and large cities. On the other hand, less than one-fifth of the urban population is diffused in a vast number of medium and small cities across the nation.

Table 4. City classification and corresponding urban populations, GDP, and TSC. Source : Compiled by the author from the China City Statistical Yearbook 2009 issued by the National Bureau of Statistics of China.
City classification Urban population GDP TSC
Category Criteria (million) Numberof cities Totalamount (million) Totalamount(Billion Yuan) Total amount (Billion Yuan)
Metropolises >1 55 142.7 12,550.1 4767.1
Large cities 0.5–1 82 57.1 3580.4 1263.6
Medium cities 0.2–0.5 111 37.3 2118.4 741.0
Small cities <0.2 39 5.6 359.1 114.3
Total 287 242.7 18,608 6886

The highly centralized urban population is accompanied by the polarization of economy in space. Similar to urban population, the distribution of economic activities in cities also follows a pyramidal structure. Table 4 shows that the two economic indicators of cities, namely, their GDP and total sales of commodities (TSC), decrease when they are ranked low. Specifically, metropolises account for 67.5% of the total GDP and 69.2% of the total TSC, large cities account for 19.2% and 18.4%, and medium and small cities account for 13.3% and 12.4%. Therefore, the major economic activities in China are extremely concentrated in metropolises. Given the high correlation between urban population and economic activities, the four city-level classifications are used to distinguish the hierarchy of urban systems at the national level.

Such highly concentrated urban population and economic activities provide a precondition for planners to use a limited number of HSR lines to cover a relatively large proportion of the urban population and fulfill the majority of the economic activities. To understand the interrelationship between the hierarchical urban system and the HSR system, we examined the direct HSR network connections, HSR nodal connections, and HSR operational frequency at each urban hierarchy.

The entire urban system has a relatively high HSR network coverage. Table 5 shows that among the 278 cities at or above the prefecture level, 209 (73%) have direct HSR connections.8

Table 5. Direct HSR connections of the cities at or above the prefecture level in China.
City Populationa HSRb City Population HSR City Population HSR City Population HSR
Shanghai 1192.24 A/C Qinhuangdao 81.81 A Shaoxing 47 C Zhoushan 27.49 D
Beijing 922.84 ABC Yancheng 78.92 C Leshan 46.8 C Jincheng 27.3 D
Guangzhou 645.83 ABC Huaibei 77.98 C Anqing 46.73 C Yichun 27.04 A
Chongqing 637.77 ABC Yichun 77.9 D Luzhou 46.68 D Quzhou 27 A
Tianjin 554.76 ABC Pingdingshan 77.73 C Chenzhou 46.19 A Kelamayi 26.83 D
Shantou 499.3 A Zhongshan 77.26 C Luohe 46.14 A Nanping 26.14 B
Nanjing 490.71 ABC Dongguan 76.8 C Shuangyashan 45.66 D Dazhou 26.09 A
Wuhan 460.18 ABC Yinchuan 76.31 B Weihai 45.2 C Wulanchabu 25.8 D
Shenyang 419.76 AB Jinzhou 75.06 A Tongliao 44.67 D Qujing 25.47 A
Chengdu 404.65 ABC Zhangjiakou 74.43 B Wuhai 44.53 D Xianning 25.42 A
Foshan 364.34 B Xinxiang 73.58 A Pinxiang 44.13 A Zhoukou 25.15 D
Harbin 343.39 AB Yueyang 73.4 A Xinyang 44 A Guangan 25.13 B
Xi׳an 335.19 AB Jixi 73.3 D Huzhou 42.88 C Bayanzhuo׳er 25.11 D
Hangzhou 285.11 ABC Yichang 71.93 A Zunyi 42.78 D Hanzhong 25.04 D
Jinan 277.02 A Anyang 71.01 A Puyang 42.13 D Chuzhou 24.81 A
Qingdao 271 AC Yingkou 69.37 A Jiaxing 42.03 A Hulunbei׳er 24.6 D
Dalian 264.98 AC Tai׳an 69.3 A Dezhou 41.44 A Huanggang 24.6 C
Changchun 252.84 AC Heze 69.09 D Putian 41.12 A Ji׳an 24.3 C
Shijiazhuang 240.72 A Fuxin 69.01 A Ezhou 40.99 C Meizhou 23.94 D
Taiyuan 235.67 AB Jieyang 68.91 B Xuchang 40.81 A Huaihua 23.73 A
Shenzhen 228.07 ABC Wenzhou 66.75 A Shaoyang 40.66 A Yuncheng 23.67 B
Wuxi 223.81 AC Mudanjiang 66.5 B Suzhou 40.64 A Sanmenxia 22.44 A
Zhengzhou 207.42 ABC Yangjiang 66.21 B Tonghua 39.5 D Anshun 22.34 A
Changsha 187.41 AC Zhenjiang 65.85 AC Tongling 39 C Yan׳an 22.14 D
Lanzhou 187.25 AB Bengbu 65.5 AB Weinan 38.93 A Yulin 21.94 D
Kunming 180.85 AB Jiaozuo 64.76 C Tongchuan 38.86 C Ankang 21.66 D
Tangshan 177.2 AB Baoji 64.7 A Liaoyuan 38.61 D Chaohu 21.6 B
Nanchang 175.29 ABC Dongying 64.6 D Ganzhou 38.5 B Sanming 21.58 D
Urumqi 173.28 B Mianyang 64.47 C Suining 38.3 A Qinzhou 21 C
Hefei 171.58 AB Jinzhou 64.25 A Hebi 37.39 A Ziyang 20.9 C
Suzhou 158.06 AC Guilin 63.7 B Qitaihe 37.29 D Shangrao 20.82 A
Xuzhou 157.98 A Zigong 63.63 D Chengde 37.21 A Haozhou 20.56 B
Guiyang 157.02 AB Lianyungang 63.22 C Linfen 37.21 B Huangshan 19.81 B
Fuzhou 156.54 AB Quanzhou 62.65 A Jingdezhen 37.02 D Suozhou 19.38 D
Zibo 155.74 A Hegang 61.04 D Shizuishan 36.49 D Xinzhou 19.35 B
Linyi 139.83 D Liaoyang 60.66 A Yibin 36.37 B Zhangye 19.08 B
Jiangmen 136.58 B Jiamusi 60.56 B Tieling 36.28 A Wuzhong 17.97 D
Nanning 135.54 B Shaoguan 60.52 A Xiaogan 35.84 A Yulin 17.71 D
Ningbo 132.07 A Huangshi 60.49 C Zhangzhou 35.47 A Fangchenggang 17.59 C
Anshan 130.09 A Dandong 60.09 B Chaozhou 34.86 A Pingliang 17.38 D
Maoming 128.91 B Rizhao 59.84 D Neijiang 34.83 C Lhasa 17.25 D
Jilin 128.77 B Kaifeng 59.72 A Chaoyang 34.81 A E׳erduosi 17.14 D
Yantai 128.31 C Zhuzhou 59.41 C Deyang 33.99 C Xuancheng 16.75 D
Handan 126.63 A Yangquan 59.33 A Yiyang 33.93 D Laibin 16.71 B
Huizhou 125.95 A Xingtai 58.47 A Songyuan 33.84 D Jiayuguan 16.52 B
Fushun 125.25 C Nanchong 58.12 B Lu'an 33.64 A Jinchang 16.49 D
Binjiang 123.16 B Xiangtan 57.91 C Suizhou 32.91 B Hezhou 16.03 B
Datong 118.93 B Taizhou 56.82 D Xinyu 32.86 A Shangluo 15.79 D
Suqian 118.67 D Jining 56.81 D Fuzhou 32.84 A Zhangjiajie 15.46 D
Xiamen 118.58 A Nanyang 56.46 B Jinmen 32.78 D Lvliang 15.25 D
Changzhou 118.28 AC Xianyang 56.25 A Yongzhou 32.58 B Ya׳an 14.7 D
Baotou 116.62 D Liaocheng 55.74 D Baiyin 31.55 D Yingtan 14.24 A
Luoyang 113.69 A Qingyuan 55.64 A Guangyuan 31.5 B Ningde 14.05 A
Qiqiha׳er 111.76 B Siping 55.23 A Jinhua 31.48 A Jiuquan 13.97 B
Daqing 105.08 B Panjin 54.6 A Longyan 31.3 C Chizhou 13.95 C
Zhuhai 99.48 C Huludao 54.09 A Meishan 31.02 C Yuxi 13.95 D
Weifang 97.66 A Chifeng 54.04 D Jinzhong 31 B Zhongwei 13.64 D
Xining 97.48 B Changzhi 53.9 D Liupanshui 30.86 D Heihe 13.44 D
Huainan 97.21 A Panzhihua 53.75 D Hengshui 30.76 D Baoshan 12.75 D
Hengyang 97.08 A Tianshui 53.24 A Taizhou 30.53 A Longnan 12.74 D
Yangzhou 94.53 AC Zhaoqing 52.77 B Heyuan 29.74 D Lishui 12.65 D
Haikou 94.13 B Changde 51.98 D Yunfu 29.22 B Baise 12.62 B
Baoding 92.71 AB Ma׳anshan 51.82 C Suihua 28.9 B Zhaotong 12.09 D
Huai׳an 92.33 C Shanwei 51.72 A Wuzhou 28.8 B Hechi 11.63 D
Wuhu 91.69 C Laiwu 50.19 C Baicheng 28.66 D Guyuan 10.98 D
Shangqiu 91.04 AB Binzhou 49.42 D Wuwei 28.62 D Qingyang 10.24 D
Liuzhou 90.77 B Cangzhou 48.52 A Guigang 28.56 B Simao 9.18 D
Xiangfan 89.19 A Fuyang 47.78 B Beihai 27.97 C Chongzuo 8.84 D
Hohhot 88.67 B Shiyan 47.67 C Loudi 27.87 C Dingxi 8.82 B
Nantong 87.52 D Langfang 47.58 A Bazhong 27.55 D Lijiang 6.93 D
Zaozhuang 84.58 A Jiujiang 47.43 C Zhumadian 27.53 A Lincang 5.7 D
Benxi 84.03 B Baishan 47.19 D Sanya 27.5 B

a. Population is calculated as the non-agricultural population within urban municipal district areas (ten thousand). The data are obtained from the China City Statistical Yearbook 2009.

b. HSR connections are categorized into the following scenarios: A – connected by the national HSR trunk line; B – connected by the national HSR extensional line; C – connected by the intercity HSR line; and D – no connection with the HSR.

The direct HSR network connection rates are closely correlated with different urban hierarchies. Table 6 shows that the metropolises, large cities, medium cities, and small cities have HSR connection rates of 95%, 82%, 67%, and 33%, respectively. Figure 6 (a) to (e) illustrate the spatial distribution of the HSR network and each layer of urban hierarchy. When the level of the urban system decreases, the spatial correlation between cities and the HSR networks become weaker, an outcome that indicates the importance of the urban hierarchy in affecting the planning of HSR networks.

Table 6. Direct National HSR trunk network, extensional network, and intercity HSR network connections among four-city levels of the urban system. Source : Compiled by the author.
Urban hierarchy National HSR trunk network connection National HSR extensional network connection IntercityHSRnetwork connection Total number Proportionin total (%)
Metropolises 40 10 2 52 95
Large cities 35 16 16 67 82
Medium cities 37 18 20 75 67
Small cities 2 9 3 13 33

Note:

The statistics on the direct HSR connection among three HSR sub-systems are exclusive. If a city has more than one connection with different HSR subsystems, it will only be accounted once with following the rule: national HSR trunk network > extensional network > intercity HSR network. For example, at the metropolis level, 22 cities are connected by both national HSR trunk lines and extensional lines. However, to simplify the statistics in this paper, we only count them as the cities with national HSR trunk network connections.


Figure 6


Figure 6


Figure 6


Figure 6


Figure 6

Figure 6.

(a) Spatial distribution of the HSR network and metropolises (>3 million). (b) Spatial distribution of the HSR network and metropolises (1–3 million). (c) Spatial distribution of the HSR network and large cities (0.5–1 million). (d) Spatial distribution of the HSR network and medium-sized cities (0.2–0.5 million). (e) Spatial distribution of the HSR network and small cities (<0.2 million). Source: Elaborated by the author.

The direct connection analysis further reveals the different roles played by the three HSR subsystems in different urban hierarchies. On the one hand, the national HSR network, including the trunk lines and extensional lines, connect over 70% of cities at each level of the urban system (Figure 7 ). The national HSR network clearly plays the most fundamental role in the Chinese HSR system; on the other hand, approximately 20% of large- and medium-sized cities, and 15% of small cities are connected by the intercity HSR network. The intercity HSR network plays a complementary role in the HSR system, given that only a small proportion of cities are linked at relatively lower urban hierarchies at the national level.


Figure 7.


Figure 7.

HSR connection rate among three HSR sub-systems at four tiers of urban hierarchy. Source : Elaborated by the author.

The national HSR network itself has two hierarchies as well. Specifically, the HSR trunk network is mainly planned to connect the higher level of urban hierarchies, whereas the HSR extensional network focuses on incorporating the lower level of urban hierarchies into the HSR system. As shown in Figure 7 , the HSR trunk network links up with 77% of the metropolises, 52% of the large cities, 49% of the medium cities, and 15% of the small cities. On the contrary, when the city rank becomes lower, the connection rate by the national HSR extensional network becomes higher: approximately 19% of the metropolises, 24% of the large cities, 24% of the medium cities, and 70% of the small cities are connected by the national HSR extensional network. Given that the trunk network plays a dominant role in linking up with the higher urban hierarchy, and because the extensional network dominates in the lower urban hierarchy, the national HSR trunk network is concluded to be at the higher hierarchy of the national HSR system, whereas the HSR extensional network plays a complementary role in the national HSR system.

The above direct HSR connection analysis failed to consider situations where multiple HSR networks coexist within the same city. Therefore, examining the HSR nodal connections of different urban hierarchies is necessary. As shown in Table 5 , the entire urban system has 34 HSR nodal cities. Among them, 29 are metropolises, 5 are large cities, and none are medium or small cities. Once again, the nodal distribution in the HSR system corresponds to the hierarchical urban system. At the level of metropolises, 9 out of 29 HSR nodal cities have both the national and intercity HSR network connections. In fact, considering that most of China׳s intercity HSR lines either expand from metropolises toward the surrounding areas or link up with two adjacent metropolises, the intercity HSR network actually offers connections between cities of lower rank and higher rank within urban agglomerations. Therefore, although the intercity HSR network only plays a complementary role in the HSR system at the national level, it plays an indispensable role at the regional level.

Not only are the direct HSR connection and distribution of HSR nodes highly polarized, but the HSR operational frequency is polarized as well. In the current transport paradigm, travel time is generally considered as wasted time and a disutility (Lyons et al., 2007 ). Meaning, travel time must be minimized and, therefore, the speed must be increased; this argument has been central to HSR transport planning (Moshe and David, 2012 ). To reduce travel time and increase speed, the Chinese HSR operational system takes a “skip-off” strategy, where in any given HSR itinerary, the train does not stop at all stations but only stops at a particular number of stations along the line. Most of the time, the intermediate cities are skipped. Here, the Beijing–Shanghai national HSR line is set as an example. Along this HSR line, 22 HSR stations are distributed in 9 metropolises, 4 large cities, 5 medium cities, and 5 country-level cities. As shown in Table 7 , the average numbers of HSR trains stopping at metropolises during weekdays in large, medium, and small cities are 62, 23.8, 23.6, and 16.6, respectively. Again, a positive correlation exists between the hierarchical urban system and the HSR operational system. In the most extreme case, only 8 HSR trains stop at a small city each day, namely, Dingyuan, which is 11 times lesser than the number of trains stopping at metropolises, such as Beijing, Nanjing, or Shanghai. Consequently, the metropolises actually benefit the most from the high frequency of HSR services. Therefore, the polarization of the HSR operational frequency further strengthens the hierarchical structure of the HSR system.

Table 7. HSR operational frequency per weekday along the Beijing–Shanghai national HSR line. Source : Compiled by the author based on the official ticket website of the China׳s National Railway Company.
Urban hierarchy Name of the city IncomingHSRtrain per day OutgoingHSRtrain per day Total number Average number of trains
Metropolises Shanghai 49 40 89 62
Beijing 46 39 85
Tianjin 11 13 24
Nanjing 49 46 95
Jinan 45 37 82
Wuxi 20 19 39
Suzhou 28 22 50
Xuzhou 26 34 60
Changzhou 18 16 34
Large cities Zaozhuang 11 10 21 23.8
Tai׳an 14 13 27
Zhenjiang 13 10 23
Bengbu 13 11 24
Medium cities Cangzhou 16 9 25 23.6
Langfang 10 6 16
Dezhou 21 16 37
Suzhou 7 12 19
Chuzhou 8 13 21
Country-level cities Qufu 8 15 23 16.6
Tengzhou 11 9 20
Dingyuan 3 5 8
Danyang 7 4 11
Kunshan 10 11 21

3.3. Conceptual model of the HSR system

To better understand the urban system׳s specific values reflected in the spatial structure of the HSR network, this study establishes the conceptual model composed of the HSR and related urban networks together. Figure 8 illustrates the spatial distribution of two urban networks, namely, the provincial capital network and the metropolis network. The former is at the top level of the urban administrative system, and the latter is at the top level of the urban population and economic systems. Clearly, the two types of networks highly overlap. Among the 31 provincial capital cities, 26 (84%) are simultaneously metropolis cities. Given that the two top-level urban hierarchies are spatially concentrated in these cities, they immediately become the first-level access points that the HSR network is meant to connect. Except for Urumqi, the rest are actually connected by the top-level HSR hierarchy, namely, the national HSR trunk network. Most of them are also the key nodal points where the national trunk lines, extensional lines, and intercity lines are linked with one another. Given that those nodal points significantly determine the overall HSR network plans, the values of the city׳s administrative status, population, and economic size can thus be concluded as well reflected in the planning of the HSR network at the national level.


Figure 8.


Figure 8.

Conceptualized HSR network and urban network in China. Source : Elaborated by the author.

Once the critical nodes of the HSR network have been decided, the next step is to plan the edges (lines) to link the nodes together. As shown in the conceptual model, the national HSR trunk network consists of vertical and horizontal lines forming several matrices, and they connect the key nodal points with the equal distance. Then, the majority of the national HSR extensional network consists of several diagonal lines sub-dividing these matrices into smaller units. The intercity HSR network has been designed on an even smaller scale around the major nodal points. The three HSR sub-systems work together, splitting the maze of the network into different units and creating varying travel distances between access points. In reality, the three sub-systems form a hierarchical HSR network to meet different travel needs between various levels of cities. Judging from the high coverage percentage of the national urban population and economic activities, we can affirm that the Chinese HSR system works with relative efficiency and at an optimum level, matching those of the related hierarchical urban systems.

4. Conclusion

Planning an entire HSR system in a country of vast territory means the decision-makers must make particular choices with regard to different perplexities. The final structure of the HSR network is certainly the outcome of the trade-off processes among different variables and values. Among all the variables, the Chinese hierarchical urban system is one of the most important factors markedly affecting the HSR network planning. This study indicates that the HSR network in China is highly correlated with the urban administrative, demographic, and economic hierarchies at the national level. The priority of the cities to be connected by the national HSR trunk network follows the top-down urban hierarchy. However, the national HSR extensional network is linked from the bottom up, demonstrating the higher level of the trunk network and lower level of the extensional network in HSR hierarchies. Furthermore, the multi-layer HSR system is planned to meet different needs at different geographical scales. The national HSR network forms the backbone of the HSR network structure at the national level, whereas the intercity HSR network is designed to connect cities within urban agglomerations, where the urban population and social and economic activities are extremely concentrated.

A twofold embedded logic exists in forming the hierarchical HSR network planning. First, the hierarchical HSR network planning is determined by the hierarchical structure of the urban demographic and economic systems, which further influence the demand and supply of the transport market. Owing to the extreme concentration of urban populations and economic activities of a limited number of cities, the transport routes between those cities are more important than others. To guarantee enough potential HSR passengers for future operation, the logic is to plan enough HSR network connections along these prioritized routes. Given the varying transport demands for different corridors, their influences on the supply side of the HSR system are different as well. The hierarchical HSR network will form and evolve in the long run because of the differing degrees of cumulative processes. The polarized HSR service frequency further reinforces the HSR network into an even stronger hierarchy. Second, the hierarchical administrative system in China further stimulates the formation of the hierarchical HSR network. Considering the location of the local government headquarters in the provincial capitals, the provincial capitals must be linked with the national capital city, Beijing, to strengthen the central government׳s control. As a state-led project, the planning of the HSR system is not only important for the circulation of passengers and capitals, but also vital for the circulation of political power nationwide. Therefore, the political strength of different cities further reinforces the formation of the hierarchical HSR network. To conclude, the hierarchical HSR system in China is planned to match the hierarchical transport corridors, which are further determined by the political, demographic, and economic hierarchies of the urban system at the national level.

References

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Notes

1. Source: Report on the work of the government 2014, delivered by Li Keqiang, Premier of the State Council, at the second session of the 12th National People׳s Congress on March 5, 2014.

2. Source: Xinhua News Agency (in Chinese), http://www. gov. cn/jrzg/2008-04/18/content_947868. htm . Last accessed: 09/05/2015.

3. Hereafter, the Mid-to-Long Term Railway Development Plan is referred to as the Plan. The one issued in 2004 is referred to as the 2004 Plan, while the one revised in 2008 is referred to as the 2008 Plan.

4. Several railway lines have been newly planned in the less developed parts of China. These lines can carry sub-high-speed passenger trains at speeds of 200 km/h, but are not passenger-dedicated (mixed passenger with freight transport). These railways do not belong to the national HSR grid, but are considered an important complement to the whole HSR system. Therefore, these railways are also indicated as blue dotted lines in the figure.

5. The English nomenclature “county” was adopted after the establishment of the People׳s Republic of China. This term is used to translate the Chinese character “xiàn” (县). In mainland China, counties comprise the third level of the local government, and are ranked below the provincial- and prefecture-level governments, and above the township-level governments. A prefecture-level city may comprise several counties and districts. In this sense, a county is similar to a city district.

6. The 31 provincial-level cities include 22 provincial capital cities, 5 autonomous region capital cities, and 4 municipality cities (Beijing, Tianjin, Shanghai, and Chongqing), which are directly governed by the central government.

7. Source: China Statistical Yearbook 2013, 1-1, Chinese administrate division.

8. We define the direct HSR connection of a city as a city that has at least one HSR station within its administrative jurisdiction. The scope is defined at the prefecture level, which means that if the HSR station is not located in an urban territory yet is located in a county, town, or village under the authority of that city, we still consider that city to have a direct HSR connection.

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