IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v85y2023ics0038012122001756.html
   My bibliography  Save this article

Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China

Author

Listed:
  • Hu, Zhibin
  • Wu, Guangdong
  • Han, Yilong
  • Niu, Yanliang

Abstract

Previous studies have used complex network theory to examine the characteristics of China's High-Speed Rail (HSR). Nevertheless, little attention is paid to China's HSR network's dynamic evolution and the coevolution of node attributes and embedded structural characteristics. Our study builds China's HSR network using a complex network approach and spatial analysis technique to address this issue. Additionally, we employ a stochastic actor-oriented model (SAOM) to properly decompose the three types of effects on the generation of China's HSR network (i.e., network structure, attribute-based similarity, and exogenous control variables). This study discusses the underlying hypotheses and indicates that 3-cycles is a critical structural factor for the formation of China's HSR network. In terms of the effects of attribute-based similarity, cities with similar Gross Domestic Product (GDP) and geographical proximity are essential nodal drivers for the evolution of the HSR network. Notably, the administrative rank of cities exhibits a significantly negative driving force and a alter effect. These findings shed light on the interactive process of urban regional development and the dynamic evolution of the HSR network, assisting the central and local governments in enacting and implementing appropriate HSR planning policies, ultimately achieving effective urban planning and management.

Suggested Citation

  • Hu, Zhibin & Wu, Guangdong & Han, Yilong & Niu, Yanliang, 2023. "Unraveling the dynamic changes of high-speed rail network with urban development: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122001756
    DOI: 10.1016/j.seps.2022.101380
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012122001756
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2022.101380?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Pei-Pei & Kan Chen, & He, Yue & Zhou, Tao & Su, Bei-Bei & Jin, Yingdi & Chang, Hui & Zhou, Yue-Ping & Sun, Li-Cheng & Wang, Bing-Hong & He, Da-Ren, 2006. "Model and empirical study on some collaboration networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 599-616.
    2. Cavallaro, Federico & Bruzzone, Francesco & Nocera, Silvio, 2020. "Spatial and social equity implications for High-Speed Railway lines in Northern Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 327-340.
    3. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    4. Chen, Cheng & D'Alfonso, Tiziana & Guo, Huanxiu & Jiang, Changmin, 2018. "Graph theoretical analysis of the Chinese high-speed rail network over time," Research in Transportation Economics, Elsevier, vol. 72(C), pages 3-14.
    5. Zhang, Fangni & Yang, Zhiwei & Jiao, Jingjuan & Liu, Wei & Wu, Wenjie, 2020. "The effects of high-speed rail development on regional equity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 180-202.
    6. Matsumoto, Hidenobu, 2007. "International air network structures and air traffic density of world cities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(3), pages 269-282, May.
    7. Albouy, David & Behrens, Kristian & Robert-Nicoud, Frédéric & Seegert, Nathan, 2019. "The optimal distribution of population across cities," Journal of Urban Economics, Elsevier, vol. 110(C), pages 102-113.
    8. Deng, Taotao & Wang, Dandan & Hu, Yukun & Liu, Shuang, 2020. "Did high-speed railway cause urban space expansion? ——Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 80(C).
    9. Federico Bianchi & Andreas Flache & Flaminio Squazzoni, 2020. "Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 44(4), pages 249-266, October.
    10. Michail Fragkias & José Lobo & Deborah Strumsky & Karen C Seto, 2013. "Does Size Matter? Scaling of CO2 Emissions and U.S. Urban Areas," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-8, June.
    11. Shen, Yu & de Abreu e Silva, João & Martínez, Luis Miguel, 2014. "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," Journal of Transport Geography, Elsevier, vol. 41(C), pages 184-196.
    12. Block, Per & Grund, Thomas, 2014. "Multidimensional homophily in friendship networks," Network Science, Cambridge University Press, vol. 2(2), pages 189-212, August.
    13. Li, Zhi-Chun & Guo, Qian-Wen & Lam, William H.K. & Wong, S.C., 2015. "Transit technology investment and selection under urban population volatility: A real option perspective," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 318-340.
    14. C. von Ferber & T. Holovatch & Yu. Holovatch & V. Palchykov, 2009. "Public transport networks: empirical analysis and modeling," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 68(2), pages 261-275, March.
    15. Chen, Chia-Lin & Hall, Peter, 2012. "The wider spatial-economic impacts of high-speed trains: a comparative case study of Manchester and Lille sub-regions," Journal of Transport Geography, Elsevier, vol. 24(C), pages 89-110.
    16. J. Vernon Henderson, Zmarak Shalizi, and Anthony J. Venables, 2001. "Geography and development," Journal of Economic Geography, Oxford University Press, vol. 1(1), pages 81-105, January.
    17. Pink, Sebastian & Kretschmer, David & Leszczensky, Lars, 2020. "Choice modelling in social networks using stochastic actor-oriented models," Journal of choice modelling, Elsevier, vol. 34(C).
    18. Huanxiu Guo & Cheng Chen & Xiaofang Dong & Changmin Jiang, 2021. "The evolution of transport networks and the regional water environment: the case of Chinese high-speed rail," Regional Studies, Taylor & Francis Journals, vol. 55(6), pages 1084-1110, June.
    19. Pierre-Alexandre Balland & Mathijs De Vaan & Ron Boschma, 2013. "The dynamics of interfirm networks along the industry life cycle: The case of the global video game industry, 1987--2007," Journal of Economic Geography, Oxford University Press, vol. 13(5), pages 741-765, September.
    20. Wang, Hui & Han, Jiaying & Su, Min & Wan, Shulin & Zhang, Zhenchao, 2021. "The relationship between freight transport and economic development: A case study of China," Research in Transportation Economics, Elsevier, vol. 85(C).
    21. Latora, Vito & Marchiori, Massimo, 2002. "Is the Boston subway a small-world network?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 109-113.
    22. Joseph Berechman & Dilruba Ozmen & Kaan Ozbay, 2006. "Empirical analysis of transportation investment and economic development at state, county and municipality levels," Transportation, Springer, vol. 33(6), pages 537-551, November.
    23. Pierre-Alexandre Balland, 2012. "Proximity and the Evolution of Collaboration Networks: Evidence from Research and Development Projects within the Global Navigation Satellite System (GNSS) Industry," Regional Studies, Taylor & Francis Journals, vol. 46(6), pages 741-756, September.
    24. Anping Chen & Mark D. Partridge, 2013. "When are Cities Engines of Growth in China? Spread and Backwash Effects across the Urban Hierarchy," Regional Studies, Taylor & Francis Journals, vol. 47(8), pages 1313-1331, September.
    25. Iain Docherty & Stuart Gulliver & Philip Drake, 2004. "Exploring the Potential Benefits of City Collaboration," Regional Studies, Taylor & Francis Journals, vol. 38(4), pages 445-456.
    26. Cao, Jing & Liu, Xiaoyue Cathy & Wang, Yinhai & Li, Qingquan, 2013. "Accessibility impacts of China’s high-speed rail network," Journal of Transport Geography, Elsevier, vol. 28(C), pages 12-21.
    27. Feng Li & Yang Su & Jiaping Xie & Weijun Zhu & Yahua Wang, 2020. "The Impact of High-Speed Rail Opening on City Economics along the Silk Road Economic Belt," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    28. Sophie Masson & Romain Petiot, 2009. "Can the High Speed Rail reinforce tourism attractiveness? The case of the High Speed Railway section between Perpignan (France) and Barcelona (Spain)," Post-Print hal-02422659, HAL.
    29. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    30. Qiu, Guo & Xu, Wangtu (Ato) & Li, Ling, 2018. "Key factors to annual investment in public transportation sector: The case of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 1-19.
    31. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    32. Chester, Mikhail V. & Ryerson, Megan S., 2014. "Grand challenges for high-speed rail environmental assessment in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 15-26.
    33. Arbesman, Samuel & Christakis, Nicholas A., 2011. "Scaling of prosocial behavior in cities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2155-2159.
    34. Yutao Sun & Kai Liu, 2016. "Proximity effect, preferential attachment and path dependence in inter-regional network: a case of China’s technology transaction," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 201-220, July.
    35. von Ferber, C. & Holovatch, T. & Holovatch, Yu. & Palchykov, V., 2007. "Network harness: Metropolis public transport," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 585-591.
    36. Martínez Sánchez-Mateos, Héctor S. & Givoni, Moshe, 2012. "The accessibility impact of a new High-Speed Rail line in the UK – a preliminary analysis of winners and losers," Journal of Transport Geography, Elsevier, vol. 25(C), pages 105-114.
    37. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    38. Zhang, Jianhua & Hu, Funian & Wang, Shuliang & Dai, Yang & Wang, Yixing, 2016. "Structural vulnerability and intervention of high speed railway networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 743-751.
    39. Tom Broekel & Ron Boschma, 2012. "Knowledge networks in the Dutch aviation industry: the proximity paradox," Journal of Economic Geography, Oxford University Press, vol. 12(2), pages 409-433, March.
    40. Liang, Yutian & Zhou, Keyang & Li, Xun & Zhou, Zhengke & Sun, Wei & Zeng, Jiaqi, 2020. "Effectiveness of high-speed railway on regional economic growth for less developed areas," Journal of Transport Geography, Elsevier, vol. 82(C).
    41. Gupeng Zhang & Hongbo Duan & Jianghua Zhou, 2016. "Investigating determinants of inter-regional technology transfer in China: a network analysis with provincial patent data," Review of Managerial Science, Springer, vol. 10(2), pages 345-364, March.
    42. Stanley Wasserman & Dawn Iacobucci, 1988. "Sequential social network data," Psychometrika, Springer;The Psychometric Society, vol. 53(2), pages 261-282, June.
    43. Luís M A Bettencourt & José Lobo & Deborah Strumsky & Geoffrey B West, 2010. "Urban Scaling and Its Deviations: Revealing the Structure of Wealth, Innovation and Crime across Cities," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-9, November.
    44. Nikolay K. Vitanov & Marcel Ausloos, 2015. "Test of two hypotheses explaining the size of populations in a system of cities," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(12), pages 2686-2693, December.
    45. Haoran Yang & Martin Dijst & Patrick Witte & Hans Van Ginkel & Weiling Yang, 2018. "The Spatial Structure of High Speed Railways and Urban Networks in China: A Flow Approach," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(1), pages 109-128, February.
    46. Dong, Xiaofang, 2018. "High-speed railway and urban sectoral employment in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 603-621.
    47. Viviana Amati & Felix Schönenberger & Tom A. B. Snijders, 2019. "Contemporaneous Statistics for Estimation in Stochastic Actor-Oriented Co-evolution Models," Psychometrika, Springer;The Psychometric Society, vol. 84(4), pages 1068-1096, December.
    48. Xu, Wangtu (Ato) & Zhou, Jiangping & Qiu, Guo, 2018. "China's high-speed rail network construction and planning over time: a network analysis," Journal of Transport Geography, Elsevier, vol. 70(C), pages 40-54.
    49. Iain Begg, 2002. "'Investability': The Key to Competitive Regions and Cities?," Regional Studies, Taylor & Francis Journals, vol. 36(2), pages 187-193.
    50. Sophie Masson & Romain Petiot, 2009. "Can the high speed rail reinforce tourism attractiveness ? The case of the hagh speed rail between Perpignan (france) and Barcelona (Spain)," Post-Print hal-03062650, HAL.
    51. Kevin Morgan, 2004. "The exaggerated death of geography: learning, proximity and territorial innovation systems," Journal of Economic Geography, Oxford University Press, vol. 4(1), pages 3-21, January.
    52. Niu, Fangqu & Xin, Zhongling & Sun, Dongqi, 2021. "Urban land use effects of high-speed railway network in China: A spatial spillover perspective," Land Use Policy, Elsevier, vol. 105(C).
    53. repec:dau:papers:123456789/4590 is not listed on IDEAS
    54. Blum, Ulrich & Gercek, Haluk & Viegas, José, 1992. "High-speed railway and the European peripheries: Opportunities and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 26(2), pages 211-221, March.
    55. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    56. Lin, Yatang, 2017. "Travel costs and urban specialization patterns: Evidence from China’s high speed railway system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 98-123.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Yan & Zong, Huiming, 2020. "The spatial distribution and determinants of China’s high-speed train services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 56-70.
    2. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    3. Li, Hui & Dong, Xiucheng & Jiang, Qingzhe & Dong, Kangyin, 2021. "Policy analysis for high-speed rail in China: Evolution, evaluation, and expectation," Transport Policy, Elsevier, vol. 106(C), pages 37-53.
    4. Chen, Zhenhua, 2023. "Socioeconomic Impacts of high-speed rail: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    5. Xu, Wangtu (Ato) & Zhou, Jiangping & Qiu, Guo, 2018. "China's high-speed rail network construction and planning over time: a network analysis," Journal of Transport Geography, Elsevier, vol. 70(C), pages 40-54.
    6. Yuan, Liang & Fan, Xiaoming, 2023. "As a Chinese saying goes, ‘To get rich, first pave the way’: The opening of high-speed rail and automobile consumption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    7. Ren, Xiaohang & Zeng, Gudian & Dong, Kangyin & Wang, Kun, 2023. "How does high-speed rail affect tourism development? The case of the Sichuan-Chongqing Economic Circle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    8. Jin, Mengjie & Lin, Kun-Chin & Shi, Wenming & Lee, Paul T.W. & Li, Kevin X., 2020. "Impacts of high-speed railways on economic growth and disparity in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 158-171.
    9. Li, Zekun & Chen, Zhenhua, 2023. "Predicting the future development scale of high-speed rail through the urban scaling law," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    10. Shujie Yao & Jing Fang & Hongbo He, 2020. "Can Time–Space Compression Promote Urban Economic Growth? Evidence from China's High‐speed Rail Projects," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(5), pages 90-117, September.
    11. Jin, Mengjie & Shi, Wenming & Liu, Yu & Xu, Xiaoling & Li, Kevin X., 2022. "Heterogeneous impact of high speed railway on income distribution: A case study in China," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    12. Xinshuo Hou, 2019. "High-Speed Railway and City Tourism in China: A Quasi-Experimental Study on HSR Operation," Sustainability, MDPI, vol. 11(6), pages 1-19, March.
    13. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    14. Wang, Qi & Lu, Shaokai, 2022. "The influence of hybrid accessibility on tourism economy in prefecture-level cities: Evidence from China's high-speed rail network," Journal of Transport Geography, Elsevier, vol. 104(C).
    15. (Ato) Xu, Wangtu & Huang, Ying, 2019. "The correlation between HSR construction and economic development – Empirical study of Chinese cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 24-36.
    16. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    17. Liu, Xueli & Jiang, Chunxia & Wang, Feng & Yao, Shujie, 2021. "The impact of high-speed railway on urban housing prices in China: A network accessibility perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 84-99.
    18. Deng, Taotao & Wang, Dandan & Hu, Yukun & Liu, Shuang, 2020. "Did high-speed railway cause urban space expansion? ——Empirical evidence from China's prefecture-level cities," Research in Transportation Economics, Elsevier, vol. 80(C).
    19. Yang, Xiaolan & Wang, Rui & Guo, Dongmei & Sun, Weizeng, 2020. "The reconfiguration effect of China's high-speed railway on intercity connection ——A study based on media attention index," Transport Policy, Elsevier, vol. 95(C), pages 47-56.
    20. (Ato) Xu, Wangtu & Zhou, Jiangping & Yang, Linchuan & Li, Ling, 2018. "The implications of high-speed rail for Chinese cities: Connectivity and accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 308-326.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122001756. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.