Inter-city connections in China: High-speed train vs. inter-city coach

Abstract High-speed train (HST) and inter-city coach (ICC) have been two important ground transportation modes for travelling between cities in China. They influence inter-city connections significantly. This study uses HST's and ICC's timetable data to construct networks; evaluates city centrality and city-pair connectivity to compare the hierarchical structures. The results show that the HST network shows linear distribution characteristics while ICC network presents regional “core-periphery” structure. Provincial administrative boundaries have an obvious constraint on the ICC network, while the HST community structure follows the railway lines' distribution. Finally, this study illustrates the spatial organization model and gives implications for regional transportation planning.

[1]  Weidong Liu,et al.  Understanding spatial structures and organizational patterns of city networks in China: A highway passenger flow perspective , 2018, Journal of Geographical Sciences.

[2]  Martin Dijst,et al.  The implications of high-speed railways on air passenger flows in China , 2018, Applied Geography.

[3]  Fengjun Jin,et al.  Impacts on accessibility of China’s present and future HSR network , 2014 .

[4]  Alejandro Tirachini,et al.  Restating modal investment priority with an improved model for public transport analysis , 2010 .

[5]  Wei Chen,et al.  Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, China , 2017 .

[6]  Vicente Inglada,et al.  Cost-benefit analysis of the high-speed train in Spain , 1997 .

[7]  Jie Huang,et al.  Circuity in China's high-speed-rail network , 2019 .

[8]  Martin Dijst,et al.  A Theoretical Framework and Methodology for Characterising National Urban Systems on the Basis of Flows of People: Empirical Evidence for France and Germany , 2007 .

[9]  Michael Wegener,et al.  The Shrinking Continent: New Time—Space Maps of Europe , 1994 .

[10]  J. Gutiérrez.  Location, economic potential and daily accessibility: an analysis of the accessibility impact of the high-speed line Madrid–Barcelona–French border , 2001 .

[11]  Martin Dijst,et al.  Comparing passenger flow and time schedule data to analyse High-Speed Railways and urban networks in China , 2018 .

[12]  Javier Campos,et al.  A review of HSR experiences around the world , 2007 .

[13]  Adib Kanafani,et al.  The full cost of high-speed rail: an engineering approach , 1997 .

[14]  T. Sigler,et al.  Global city clusters: theorizing spatial and non-spatial proximity in inter-urban firm networks , 2017 .

[15]  Jean-Loup Guillaume,et al.  Fast unfolding of communities in large networks , 2008, 0803.0476.

[16]  Moshe Givoni,et al.  A Review of Ex-Post Evidence for Mode Substitution and Induced Demand Following the Introduction of High-Speed Rail , 2013 .

[17]  Paul Schonfeld,et al.  JOINT OPTIMIZATION OF A RAIL TRANSIT LINE AND ITS FEEDER BUS SYSTEM , 1998 .

[18]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[19]  Junho Choi,et al.  Comparing world city networks: a network analysis of Internet backbone and air transport intercity linkages , 2006 .

[20]  A. Alderson,et al.  Power and Position in the World City System1 , 2004, American Journal of Sociology.

[21]  Moshe Givoni,et al.  Development and Impact of the Modern High‐speed Train: A Review , 2006 .

[22]  Wang Chengjin.  Function Simulation and Regularity of Distance Decay of Inter-Urban Traffic Flow in China , 2009 .

[23]  Chien-wen Shen,et al.  An exploration of the competitive relationship between intercity transport systems , 2018 .

[24]  Gabriel Dupuy,et al.  Cities and highway networks in Europe , 1996 .

[25]  Quanhua Hou,et al.  Transport infrastructure development and changing spatial accessibility in the Greater Pearl River Delta, China, 1990–2020 , 2011 .

[26]  David A. Smith,et al.  Economic Globalisation and the Structure of the World City System: The Case of Airline Passenger Data , 2010 .

[27]  Andrea Lancichinetti,et al.  Community detection algorithms: a comparative analysis: invited presentation, extended abstract , 2009, VALUETOOLS.

[28]  O. Kotavaara,et al.  Population change and accessibility by road and rail networks: GIS and statistical approach to Finland 1970-2007 , 2011 .

[29]  B. Slack,et al.  The Geography of Transport Systems , 2006 .

[30]  David M Levinson,et al.  Accessibility Impacts of High Speed Rail , 2012 .

[31]  Anthony Perl,et al.  Corridors, hybrids and networks: three global development strategies for high speed rail , 2015 .

[32]  R. Vickerman.  High-speed rail in Europe: experience and issues for future development , 1997 .

[33]  Matthew E. Kahn,et al.  China’s bullet trains facilitate market integration and mitigate the cost of megacity growth , 2013, Proceedings of the National Academy of Sciences.

[34]  Jingjuan Jiao,et al.  Competition of spatial service hinterlands between high-speed rail and air transport in China: Present and future trends , 2015, Journal of Geographical Sciences.

[35]  A. Copus.  From Core-periphery to Polycentric Development: Concepts of Spatial and Aspatial Peripherality , 2001 .

[36]  Frank Witlox,et al.  An Appraisal of the Use of Airline Data in Assessing the World City Network: A Research Note on Data , 2005 .

[37]  Fahui Wang,et al.  Exploring the network structure and nodal centrality of China , 2011 .

[38]  Ge Song,et al.  Measuring the spatiotemporal variation and evolution of transport network of China’s megaregions , 2016, Journal of Geographical Sciences.

[39]  Elena López,et al.  Measuring territorial cohesion impacts of High-Speed Rail at different planning levels , 2011 .

[40]  Yu Zhang,et al.  Air Transport versus High-Speed Rail: An Overview and Research Agenda , 2017 .

[41]  Zhixiang Fang,et al.  Impacts of high speed rail on railroad network accessibility in China , 2014 .

[42]  Frank Witlox,et al.  The impact of progressive liberalization on the spatiality of airline networks: a measurement framework based on the assessment of hierarchical differentiation , 2009 .

[43]  Martin Dijst,et al.  Comparing China's urban systems in high-speed railway and airline networks , 2018 .

[44]  Yao Yao,et al.  Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China , 2019, Int. J. Geogr. Inf. Sci..

[45]  Edward J. Malecki,et al.  The Economic Geography of the Internet’s Infrastructure* , 2002 .

[46]  Toshiji Takatsu.  The history and future of high-speed railways in Japan , 2007 .

[47]  Yung-Hsiang Cheng.  High-speed rail in Taiwan: New experience and issues for future development , 2010 .

[48]  Fengjun Jin,et al.  Impacts of high-speed rail lines on the city network in China , 2017 .

[49]  Anming Zhang,et al.  Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research , 2019, Transport Policy.

[50]  Jang-Ho Lee,et al.  Accessibility Analysis of Korean High‐speed Rail: A Case Study of the Seoul Metropolitan Area , 2008 .