铁路功效运输联系空间差异化及区域整合效应

doi:10.11821/dlxb202304011

Abstract

Abstract:

There are differences between high-speed rail and conventional rail in technical and economic characteristics such as speed, ticket price and reasonable transport distance. Therefore, they can reflect spatial traffic links at different scales, which have important impact on the reshaping of territorial space. Using train timetable data, this paper analyzes the differential spatial cascading system order of high-speed rail and conventional rail service, and compares the regional integration effect of these two rail modes on the spatial cascading system. The results show that, compared with conventional rail, the spatial layout of high-speed rail is more consistent with the gradient pattern of national economic and social development. The distance decay effect of traffic flows by high-speed rail is more obvious, with an advantage over conventional rail for journeys within 600 km. The advantaged cities of high-speed rail and conventional rail are spatially concentrated to the south and north of the Yangtze River respectively. The conventional rail service presents a more balanced distribution considering the demand of passenger transport. Further analysis shows that, under the influence of technical and economic advantages, competition between high-speed rail and conventional rail, and the network spatial layout, the regional integration effect of high-speed rail on efficiency space shows a significant polarization, with the neighboring regional agglomeration as the main form, while conventional rail has formed cross-regional corridor agglomeration along the north-south direction and east-west direction at the macro level. The regional integration model of high-speed rail and conventional rail also presents the characteristics of multi-center grading and multi-plate equalization respectively.

Key words: rail, techno-economic characteristics, spatial cascading system, efficiency space, regional integration

LI Tao, PENG Tianhao, WANG Jiaoe, HUANG Jie. Spatial differentiation and effect on regional integration of inter-city connections in China[J].Acta Geographica Sinica, 2023, 78(4): 946-960.

Figures/Tables 13

Fig. 1

Tab. 1

Tab. 2

Tab. 3

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

Fig. 9

Fig. 10

References 37

[1]	Boarnet M G. Spillovers and the locational effects of public infrastructure. Journal of Regional Science, 1998, 38(3): 381-400. doi: 10.1111/jors.1998.38.issue-3
[2]	Han Zenglin, Yang Yinkai, Zhang Wenchang, et al. The basic theory and life-circle pattern of traffic economic belt's development and evolvement. Scientia Geographica Sinica, 2000, 20(4): 295-300.
	[韩增林, 杨荫凯, 张文尝, 等. 交通经济带的基础理论及其生命周期模式研究. 地理科学, 2000, 20(4): 295-300.]
[3]	Freiria S, Sousa N, Calvo-Poyo F. Spatial analysis of the impact of transport accessibility on regional performance: A study for Europe. Journal of Transport Geography, 2022, 102: 103371. DOI: 10.1016/j.jtrangeo.2022.103371. doi: 10.1016/j.jtrangeo.2022.103371
[4]	Jin Fengjun, Wang Jiaoe. Railway network expansion and spatial accessibility analysis in China: 1906-2000. Acta Geographica Sinica, 2004, 59(2): 293-302.
	[金凤君, 王姣娥. 20世纪中国铁路网扩展及其空间通达性. 地理学报, 2004, 59(2): 293-302.]
[5]	Shaw S L, Fang Z X, Lu S W, et al. Impacts of high speed rail on railroad network accessibility in China. Journal of Transport Geography, 2014, 40: 112-122. doi: 10.1016/j.jtrangeo.2014.03.010
[6]	Jiang Haibing, Xu Jiangang, Qi Yi. The influence of Beijing-Shanghai high-speed railways on land accessibility of regional center cities. Acta Geographica Sinica, 2010, 65(10): 1287-1298. doi: 10.11821/xb201010013
	[蒋海兵, 徐建刚, 祁毅. 京沪高铁对区域中心城市陆路可达性影响. 地理学报, 2010, 65(10): 1287-1298.] doi: 10.11821/xb201010013
[7]	Jin Wenwan, Zhu Shengjun, Wang Chong. Technological relatedness, regional accessibility and firm productivity. Geographical Research, 2022, 41(2): 509-526. doi: 10.11821/dlyj020201280
	[金文纨, 朱晟君, 王翀. 技术关联、交通可达性与企业生产率: 基于公路和铁路的研究. 地理研究, 2022, 41(2): 509-526.] doi: 10.11821/dlyj020201280
[8]	Chen Z H, Haynes K E. Impact of high-speed rail on regional economic disparity in China. Journal of Transport Geography, 2017, 65: 80-91. doi: 10.1016/j.jtrangeo.2017.08.003
[9]	Xu J, Zhang M, Zhang X L, et al. How does city-cluster high-speed rail facilitate regional integration? Evidence from the Shanghai-Nanjing corridor. Cities, 2019, 85: 83-97. doi: 10.1016/j.cities.2018.12.003
[10]	Wang Jiaoe, Jiao Jingjuan, Huang Jie, et al. Theory and methodology of transportation development and location measures. Acta Geographica Sinica, 2018, 73(4): 666-676. doi: 10.11821/dlxb201804006
	[王姣娥, 焦敬娟, 黄洁, 等. 交通发展区位测度的理论与方法. 地理学报, 2018, 73(4): 666-676.] doi: 10.11821/dlxb201804006
[11]	Jiao Jingjuan, Wang Jiaoe, Jin Fengjun, et al. Impact of high-speed rail on inter-city network based on the passenger train network in China, 2003-2013. Acta Geographica Sinica, 2016, 71(2): 265-280.
	[焦敬娟, 王姣娥, 金凤君, 等. 高速铁路对城市网络结构的影响研究: 基于铁路客运班列分析. 地理学报, 2016, 71(2): 265-280.] doi: 10.11821/dlxb201602007
[12]	Dai Teqi, Jin Fengjun, Wang Jiaoe. Spatial interaction and network structure evolvement of cities in term of China's railway passenger flow in 1990s. Progress in Geography, 2005, 24(2): 80-89. doi: 10.11820/dlkxjz.2005.02.009
	[戴特奇, 金凤君, 王姣娥. 空间相互作用与城市关联网络演进: 以我国20世纪90年代城际铁路客流为例. 地理科学进展, 2005, 24(2): 80-89.]
[13]	Wu Wei, Tang Zhaopei, Liang Shuangbo, et al. Spatio-temporal evolution of land transportation connection in the Yangtze River Delta urban agglomeration under the background of area expansion. Human Geography, 2022, 37(3): 163-171, 182.
	[吴威, 唐昭沛, 梁双波, 等. 空间扩容背景下长三角城市群陆路交通联系时空演化. 人文地理, 2022, 37(3): 163-171, 182.]
[14]	Zhong Yexi, Guo Weidong. High-speed rail network spatial structure and organization model in China. Scientia Geographica Sinica, 2020, 40(1): 79-88. doi: 10.13249/j.cnki.sgs.2020.01.010
	[钟业喜, 郭卫东. 中国高铁网络结构特征及其组织模式. 地理科学, 2020, 40(1): 79-88.] doi: 10.13249/j.cnki.sgs.2020.01.010
[15]	Ma Xueguang, Jia Yan. Network pattern and spatial characteristics of railway passenger flow in China. Journal of Ocean University of China (Social Sciences), 2020(6): 75-87.
	[马学广, 贾岩. 中国铁路客运流的网络格局与空间特征研究. 中国海洋大学学报(社会科学版), 2020(6): 75-87.]
[16]	Liu Chengliang, Xu Jiaqi, Guo Qingbin. Spatial pattern of urban centrality on railway hub in China's mainland. Economic Geography, 2019, 39(3): 57-66.
	[刘承良, 许佳琪, 郭庆宾. 基于铁路网的中国主要城市中心性的空间格局. 经济地理, 2019, 39(3): 57-66.]
[17]	Wang Jiaoe, Jing Yue. Comparison of spatial structure and organization mode of inter-city networks from the perspective of railway and air passenger flow. Acta Geographica Sinica, 2017, 72(8): 1508-1519. doi: 10.11821/dlxb201708013
	[王姣娥, 景悦. 中国城市网络等级结构特征及组织模式: 基于铁路和航空流的比较. 地理学报, 2017, 72(8): 1508-1519.] doi: 10.11821/dlxb201708013
[18]	Jin Fengjun, Jiao Jingjuan, Qi Yuanjing. Evolution and geographic effects of high-speed rail in East Asia. Acta Geographica Sinica, 2016, 71(4): 576-590. doi: 10.11821/dlxb201604004
	[金凤君, 焦敬娟, 齐元静. 东亚高速铁路网络的发展演化与地理效应评价. 地理学报, 2016, 71(4): 576-590.] doi: 10.11821/dlxb201604004
[19]	Liu W C, Guo J Y, Wu W, et al. The evolution of regional spatial structure influenced by passenger rail service: A case study of the Yangtze River Delta. Growth and Change, 2022, 53(2): 651-679. doi: 10.1111/grow.v53.2
[20]	Huang Y, Zong H M. The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services. Transport Policy, 2022, 120: 89-103. doi: 10.1016/j.tranpol.2022.02.007
[21]	Jin Fengjun. Organization Mechanism of Efficacy Space and Spatial Welfare:Spatial Organization and Efficiency. Beijing: Science Press, 2013: 73-75.
	[金凤君. 功效空间组织机理与空间福利研究:经济社会空间组织与效率. 北京: 科学出版社, 2013: 73-75.]
[22]	Cao Xiaoshu, Yan Xiaopei. A review of corridor and transport corridor. City Planning Review, 2003, 27(1): 50-56.
	[曹小曙, 阎小培. 20世纪走廊及交通运输走廊研究进展. 城市规划, 2003, 27(1): 50-56.]
[23]	Cheng J M, Chen Z H. Impact of high-speed rail on the operational capacity of conventional rail in China. Transport Policy, 2021, 110: 354-367. doi: 10.1016/j.tranpol.2021.06.016
[24]	Zheng S, Kahn M E. China's bullet trains facilitate market integration and mitigate the cost of megacity growth. PNAS, 2013, 110(14): E1248-E1253.
[25]	Krugman P. Scale economies, product differentiation, and the pattern of trade. The American Economic Review, 1980, 70(5): 950-959.
[26]	Li H J, Zhu C F, Zhang Y Z. Research on travel mode share and operation strategy in Baoji-Lanzhou transportation corridor. Journal of Information and Computational Science, 2015, 12(4): 1469-1478. doi: 10.12733/issn.1548-7741
[27]	Wang Jiaoe, Du Delin, Jin Fengjun. Comparison of spatial structure and linkage systems and geographic constraints: A perspective of multiple traffic flows. Acta Geographica Sinica, 2019, 74(12): 2482-2494. doi: 10.11821/dlxb201912005
	[王姣娥, 杜德林, 金凤君. 多元交通流视角下的空间级联系统比较与地理空间约束. 地理学报, 2019, 74(12): 2482-2494.] doi: 10.11821/dlxb201912005
[28]	Cheng J M, Chen Z H. Socioeconomic impact assessments of high-Speed rail: A meta-Analysis. Transport Reviews, 2022, 42(4): 467-502. doi: 10.1080/01441647.2021.1979689
[29]	Hesse M. On borrowed size, flawed urbanisation and emerging enclave spaces: The exceptional urbanism of Luxembourg. European Urban and Regional Studies, 2016, 23(4): 612-627. doi: 10.1177/0969776414528723
[30]	Wu J H, Nash C, Wang D. Is high speed rail an appropriate solution to China's rail capacity problems? Journal of Transport Geography, 2014, 40: 100-111. doi: 10.1016/j.jtrangeo.2014.05.004
[31]	Wang K, Xia W Y, Zhang A M. Should China further expand its high-speed rail network? Consider the low-cost carrier factor. Transportation Research Part A: Policy and Practice, 2017, 100: 105-120. doi: 10.1016/j.tra.2017.04.010
[32]	Yang H R, Dijst M, Witte P, et al. Comparing passenger flow and time schedule data to analyse high-speed railways and urban networks in China. Urban Studies, 2019, 56(6): 1267-1287. doi: 10.1177/0042098018761498
[33]	Niu F Q, Wang F. Economic spatial structure in China: Evidence from railway transport network. Land, 2022, 11(1): 61. DOI: 10.3390/land11010061. doi: 10.3390/land11010061
[34]	Rosvall M, Bergstrom C T. Maps of random walks on complex networks reveal community structure. PNAS, 2008, 105(4): 1118-1123. doi: 10.1073/pnas.0706851105 pmid: 18216267
[35]	Chen Wei, Liu Weidong, Ke Wenqian, et al. The spatial structures and organization patterns of China's city networks based on the highway passenger flows. Acta Geographica Sinica, 2017, 72(2): 224-241. doi: 10.11821/dlxb201702004
	[陈伟, 刘卫东, 柯文前, 等. 基于公路客流的中国城市网络结构与空间组织模式. 地理学报, 2017, 72(2): 224-241.] doi: 10.11821/dlxb201702004
[36]	Li Tao, Wang Jiaoe, Gao Xingchuan. Comparison of inter-city travel network during weekdays and holiday in China. Acta Geographica Sinica, 2020, 75(4): 833-848. doi: 10.11821/dlxb202004012
	[李涛, 王姣娥, 高兴川. 中国居民工作日与节假日的城际出行网络异同性研究. 地理学报, 2020, 75(4): 833-848.] doi: 10.11821/dlxb202004012
[37]	Zhao Pengjun, Lyu Di, Hu Haoyu, et al. Population-development oriented comprehensive modern transport system in China. Acta Geographica Sinica, 2020, 75(12): 2699-2715. doi: 10.11821/dlxb202012011
	[赵鹏军, 吕迪, 胡昊宇, 等. 适应人口发展的现代化综合交通运输体系研究. 地理学报, 2020, 75(12): 2699-2715.] doi: 10.11821/dlxb202012011

类型	技术标准	建设成本	速度(km/h)	基准票价(元/人km)	单位时间价值(元/h)
高铁	动车、高铁	350 km/h：9400万~1.83亿元/km250 km/h：7000万~1.69亿元/km	新建：≥ 250；既有线改造：≥ 200；200以下动车组	350 km/h：0.42~0.48250 km/h：0.29~0.31	低收入群体：9.09 中低收入群体：18.09 中等收入群体：27.18 中高收入群体：36.27 高收入群体：90.63
普铁	国铁Ⅰ-Ⅳ级	约为高铁的30%~70%	≤ 200	0.11
类型	列车频次	客运量(亿人)及其占比(%)	周转量(亿人km)及其占比%)	客运密度(万人km/km)	覆盖范围
高铁	17.36	15.57 (70.7)	4844.9 (58.6)	2038.6	连接主要城市群，基本连接省会城市和其他50万人口以上大中城市
普铁	7.51	6.46 (29.3)	3421.3 (41.4)	642.6	连接20万人口以上城市，基本覆盖县级以上行政区

类型	城市数(个)	边数(对)	日发车数(趟/d)	总联系强度	平均联系强度	最大值	最小值	CV
高铁	213	6006	6171	73512	6.57	256	0.64	2.06
普铁	289	12204	2312	64341	2.77	61	0.64	1.66

地区	高铁网络				普铁网络
地区	城市数量(个)	占比(%)	客运服务能力	占比(%)	城市数量(个)	占比(%)	客运服务能力	占比(%)
东部	79	37.09	76405	51.97	88	30.45	50291	39.08
中部	81	38.03	48981	33.31	113	39.10	53015	41.20
西部	53	24.88	21638	14.72	88	30.45	25377	19.72
全国	213	100.00	147024	100.00	289	100.00	128683	100.00

Spatial differentiation and effect on regional integration of inter-city connections in China

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 13

References 37

Related Articles 15

Metrics

Comments

[1]	ZHENG Wensheng, XIONG Yajun, WANG Xiaofang, HUANG Jianwu. High-speed railway access pattern and spatial overlap characteristics of China's urban agglomerations [J]. Acta Geographica Sinica, 2023, 78(4): 930-936.
[2]	FAN Jie, LIAN Yanan, ZHAO Hao. Review of the research progress in Beijing-Tianjin-Hebei region since 1980 [J]. Acta Geographica Sinica, 2022, 77(6): 1299-1319.
[3]	WANG Degen, XU Yinfeng, ZHAO Meifeng. Spatial differentiation and influence mechanism of the connection-distribution performance of urban high-speed railway hub in the Yangtze River Economic Belt [J]. Acta Geographica Sinica, 2021, 76(8): 1997-2015.
[4]	JIN Fengjun, YAO Zuolin, CHEN Zhuo. Development characteristics and construction prospects for an integrated economic zone in the South China Sea Region [J]. Acta Geographica Sinica, 2021, 76(2): 428-443.
[5]	PENG Shiyao, CHEN Shaokuan, XU Qi, NIU Jiaqi. Spatial characteristics of land use based on POI and urban rail transit passenger flow [J]. Acta Geographica Sinica, 2021, 76(2): 459-470.
[6]	WANG Chengjin, LI Xumao, CHEN Peiran, XIE Yongshun, LIU Weidong. Spatial pattern of railway geo-system and development menchanism from the view of gauge: A case study of Eurasia [J]. Acta Geographica Sinica, 2020, 75(8): 1725-1741.
[7]	WANG Chengjin, XIE Yongshun, CHEN Peiran, LI Xumao. Institutional-economic-cultural adaptability of overseas railway construction: A case study of Addis Ababa-Djibouti Railway [J]. Acta Geographica Sinica, 2020, 75(6): 1170-1184.
[8]	SONG Weixuan, CHEN Yanru, SUN Jie, HE Miao. Spatial differentiation of urban housing prices in integrated region of Yangtze River Delta [J]. Acta Geographica Sinica, 2020, 75(10): 2109-2125.
[9]	XU Zhihua,LIU Kaizhi. State rescaling of the urban development in Hong Kong after the reunification: A case study of the planning process of the Hong Kong section of the Guangzhou-Shenzhen-Hong Kong Express Rail Link [J]. Acta Geographica Sinica, 2019, 74(2): 253-265.
[10]	DONG Suocheng,YANG Yang,LI Fujia,CHENG Hao,LI Jingnan,BILGAEV Alexey,LI Zehong,LI Yu. Influencing mechanism and policy suggestions of China- Mongolia-Russia high-speed railway construction [J]. Acta Geographica Sinica, 2019, 74(2): 297-311.
[11]	SHEN Lifan,WANG Ye,ZHANG Chun,JIANG Dongrui,LI He. Relationship between built environment of rational pedestrian catchment areas and URT commuting ridership: Evidence from 44 URT stations in Beijing [J]. Acta Geographica Sinica, 2018, 73(12): 2423-2439.
[12]	Zhangzhi TAN, Shaoyin LI, Xia LI, Xiaoping LIU, Yimin CHEN, Weixian LI. Spatio-temporal effects of urban rail transit on complex land-use change [J]. Acta Geographica Sinica, 2017, 72(5): 850-862.
[13]	JIN Fengjun, JIAO Jingjuan, QI Yuanjing. Evolution and geographic effects of high-speed rail in East Asia [J]. Acta Geographica Sinica, 2016, 71(4): 576-590.
[14]	WANG Degen,QIAN Jia,NIU Yu. Evolution and spatial characteristics of tourism field strength of cities under high speed rail network in China [J]. Acta Geographica Sinica, 2016, 71(10): 1784-1800.
[15]	Weishan CHEN, Lin LIU, Yutian LIANG. Characterizing the spatio-temporal evolution of retail business at transfer hubs of Guangzhou Metro [J]. Acta Geographica Sinica, 2015, 70(6): 879-892.