The implications of high-speed rail for Chinese cities: Connectivity and accessibility

Abstract Based on China’s latest national railway network planning proposal, the connectivity and accessibility indices of China’s high-speed railway network (CHSRN) in different time periods are computed to evaluate the implications of high-speed rail (HSR) for Chinese cities. An overall index for measuring the connectivity-accessibility of cities on the HSR network is proposed based on three indicators: (a) the Beta index, to reflect the connectivity of the HSR, (b) the number of reachable counties by HSR within the 500-km domain of a city, to reflect the location-based accessibility of the HSR, and (c) the population of the reachable places by HSR within the 500-km domain of a city, to reflect the potential-based accessibility of the HSR. Finally, the differences in the normalized connectivity-accessibility levels of different categories of cities are qualified to measure the impact of China’s future national HSR network on the potential development of cities. It is found that “Mid-to-Long-Term Railway Network Plan (Revised in 2016)”, if fully realized, would profoundly change the HSR connectivity/accessibility of different cities. Most notably, cities in the Yangtze River Delta would suffer the most whereas cities of the central and western regions would gain the most. This could potentially contribute to, or bring about new changes in, the socioeconomic landscapes in China. The methodological contribution of this paper is twofold. Firstly, an overall index to evaluate the comprehensive connectivity and accessibility levels of the HSR network is designed. Secondly, this paper investigates how to qualify the impact of the future HSR network on different tiers of cities in different time periods according to the change of the overall connectivity/accessibility index.

[1]  Yongxue Liu,et al.  Accessibility impact of the present and future high-speed rail network: A case study of Jiangsu Province, China , 2016 .

[2]  Anming Zhang,et al.  Effects of high-speed rail and air transport competition on prices, profits and welfare , 2012 .

[3]  O. Mukhanov,et al.  Superconductivity and the environment: a Roadmap , 2013 .

[4]  Qingquan Li,et al.  Accessibility Impacts of China's High-Speed Rail Network , 2013 .

[5]  Luca Bertolini,et al.  The effects of the high-speed railway on urban development: International experience and potential implications for China , 2015 .

[6]  David Levinson,et al.  Topological Evolution of Surface Transportation Networks , 2007, Comput. Environ. Urban Syst..

[7]  Erick Guerra,et al.  Mexico City’s Suburban Land Use and Transit Connection: Effects of Line B Metro Expansion , 2014 .

[8]  William N. Goetzmann,et al.  Survivorship Bias in Performance Studies , 1992 .

[9]  Ying Li,et al.  The variation in the value of travel-time savings and the dilemma of high-speed rail in China , 2015 .

[10]  Xavier Fageda,et al.  High speed rail and tourism: Empirical evidence from Spain , 2016 .

[11]  José M. Coronado,et al.  How to Choose the Most Efficient Transport Mode for Weekend Tourism Journeys: An HSR and Private Vehicle Comparison , 2016 .

[12]  G. Viglia,et al.  Price Competition within and between Airlines and High-Speed Trains: The Case of the Milan—Rome Route , 2016 .

[13]  Jian Chai,et al.  Analysis on shock effect of China’s high-speed railway on aviation transport , 2018 .

[14]  Roger Vickerman,et al.  High-speed rail networks, economic integration and regional specialisation in China and Europe , 2015 .

[15]  Moshe Givoni,et al.  The Accessibility Impact of a New High-Speed Rail Line in the UK - A Preliminary Analysis of Winners and Losers , 2012 .

[16]  Huilong Duan,et al.  Data configurations in railway signalling engineering - an application of enterprise systems techniques , 2013, Enterp. Inf. Syst..

[17]  Juan Carlos Augusto,et al.  Editorial: Inaugural issue , 2009, J. Ambient Intell. Smart Environ..

[18]  Amparo Moyano,et al.  From network to services: A comparative accessibility analysis of the Spanish high-speed rail system , 2018 .

[19]  A. Mol,et al.  Environmental risks of high-speed railway in China: Public participation, perception and trust , 2015 .

[20]  Xiaozhan Xu,et al.  A note on the subjective and objective integrated approach to determine attribute weights , 2004, Eur. J. Oper. Res..

[21]  Cecília Silva,et al.  Structural accessibility for mobility management , 2013 .

[22]  Ying Long,et al.  Prioritizing future funding and construction of the planned high-speed rail corridors of China – According to regional structure and urban land development potential indices , 2017, Transport Policy.

[23]  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.

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

[25]  Adam Rose,et al.  The Impact of High-Speed Rail Investment on Economic and Environmental Change in China: A Dynamic CGE Analysis , 2015 .

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

[27]  Maddi Garmendia,et al.  Assessing Spanish HSR network utility for same-day tourism , 2013 .

[28]  J. Hine,et al.  Analysing the impact of network change on transport disadvantage: a GIS-based case study of Belfast , 2013 .

[29]  Daniel Albalate,et al.  The Economics and Politics of High-Speed Rail: Lessons from Experiences Abroad , 2012 .

[30]  Antonio Garofalo,et al.  Exploring the interdependences between High Speed Rail systems and tourism: Some evidence from Italy , 2017 .

[31]  Linchuan Yang,et al.  Modeling the mobility choices of older people in a transit-oriented city: Policy insights , 2018, Habitat International.

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

[33]  Bert van Wee,et al.  Accessibility evaluation of land-use and transport strategies: review and research directions , 2004 .

[34]  Tony H. Grubesic,et al.  Evaluating locational accessibility to the US air transportation system , 2010 .

[35]  Catherine Dehon,et al.  Does European high-speed rail affect the current level of air services? An EU-wide analysis , 2014 .

[36]  Armando Cartenì,et al.  Hedonic value of high-speed rail services: Quantitative analysis of the students’ domestic tourist attractiveness of the main Italian cities , 2017 .

[37]  Sara Moridpour,et al.  Public transport accessibility in metropolitan areas: A new approach incorporating population density , 2016 .

[38]  Tijs Neutens,et al.  Identifying public transport gaps using time-dependent accessibility levels , 2015 .

[39]  W. G. Hansen.  How Accessibility Shapes Land Use , 1959 .

[40]  C. Sutton,et al.  Changes in accessibility in the Meseta Purepecha region of Michoacan, Mexico: 1940-2000 , 2007 .

[41]  Mark Hickman,et al.  A utility-based travel impedance measure for public transit network accessibility , 2016 .

[42]  Maria Börjesson,et al.  Forecasting Demand for High Speed Rail , 2014 .

[43]  Antonio Páez,et al.  Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters , 2012 .

[44]  Luis Miguel Martínez,et al.  Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006 , 2014 .

[45]  K. Haynes,et al.  Impact of high-speed rail on international tourism demand in China , 2015 .

[46]  Davy Janssens,et al.  Detecting urban road network accessibility problems using taxi GPS data , 2016 .

[47]  Qiang Wang,et al.  Impact of high-speed rail on China’s Big Three airlines , 2017 .

[48]  James D. McCalley,et al.  An optimization model of energy and transportation systems: Assessing the high-speed rail impacts in the United States , 2015 .

[49]  Wenyi Xia,et al.  Should China further expand its high-speed rail network? Consider the low-cost carrier factor , 2017 .

[50]  Kingsley E. Haynes,et al.  Impact of high speed rail on housing values: an observation from the Beijing–Shanghai line☆ , 2015 .

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

[52]  Yung-Hsiang Cheng,et al.  Perceived accessibility, mobility, and connectivity of public transportation systems , 2015 .

[53]  Andrea De Montis,et al.  Accessibility and Complex Network Analysis of the U.S. commuting system , 2013 .

[54]  Ju Lee,et al.  Review of maglev train technologies , 2006 .

[55]  David Emanuel Andersson,et al.  The successes and failures of a key transportation link: accessibility effects of Taiwan’s high-speed rail , 2012 .

[56]  Timothy F Welch,et al.  Performance indicators for public transit connectivity in multi-modal transportation networks , 2012 .

[57]  Mikio Takebayashi,et al.  How could the collaboration between airport and high speed rail affect the market , 2016 .

[58]  Chenglin Qin,et al.  No difference in effect of high-speed rail on regional economic growth based on match effect perspective? , 2017 .

[59]  A. Lynch,et al.  Survivorship Bias and Attrition Effects in Measures of Performance Persistence , 1998 .

[60]  E. J. Taaffe,et al.  Geography of Transportation , 1973 .

[61]  George Cybenko,et al.  Inaugural Issue Editorial , 2014, IEEE Trans. Comput. Soc. Syst..

[62]  Anming Zhang,et al.  Will China's airline industry survive the entry of high-speed rail? , 2012 .

[63]  A. Páez,et al.  Measuring accessibility: positive and normative implementations of various accessibility indicators , 2012 .

[64]  B. Giles-Corti,et al.  Accessibility and connectivity in physical activity studies: the impact of missing pedestrian data. , 2008, Preventive medicine.

[65]  Linchuan Yang,et al.  Walking accessibility and property prices , 2018, Transportation Research Part D: Transport and Environment.

[66]  Angela Hull,et al.  Accessibility modelling: predicting the impact of planned transport infrastructure on accessibility patterns in Edinburgh, UK , 2014 .

[67]  M. Garmendia,et al.  Catchment areas of high-speed rail stations: a model based on spatial analysis using ridership surveys , 2016, European Journal of Transport and Infrastructure Research.

[68]  B. Wee.  Accessible accessibility research challenges , 2016 .

[69]  H. Edmond,et al.  Modelling locational access to markets for pluriactivity: a study in the Grampian region of Scotland , 1993 .

[70]  Yuval Hadas,et al.  Assessing public transport systems connectivity based on Google Transit data , 2013 .

[71]  Rouzbeh Boloukian,et al.  Urban Logistics; a Key for the Airport-Centric Development – A Review on Development Approaches and the Role of Urban Logistics in Comprehensive Airport-Centric Planning , 2016 .

[72]  Harvey J. Miller,et al.  Transportation network design for maximizing space–time accessibility , 2015 .

[73]  Linchuan Yang.  Estimating the Walking Accessibility Premiums , 2018 .

[74]  Matthew Richard McGrail,et al.  Measuring spatial accessibility to primary health care services: Utilising dynamic catchment sizes , 2014 .

[75]  T. Straatemeier.  How to plan for regional accessibility , 2008 .

[76]  Chris Nash,et al.  Is high speed rail an appropriate solution to China’s rail capacity problems? , 2014 .

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

[78]  Wei Luo,et al.  Variable catchment sizes for the two-step floating catchment area (2SFCA) method. , 2012, Health & place.

[79]  Editorial: Inaugural issue , 2007 .

[80]  Avishai Ceder,et al.  Using connectivity for measuring equity in transit provision , 2014 .

[81]  Shyi-Min Lu,et al.  A low-carbon transport infrastructure in Taiwan based on the implementation of energy-saving measures , 2016 .

[82]  Guillaume Burghouwt,et al.  Connectivity levels and the competitive position of Spanish airports and Iberia's network rationalization strategy, 2001-2007 , 2012 .

[83]  Yuan Li,et al.  Transit accessibility measures incorporating the temporal dimension , 2015 .