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A ‘node-place-network-city’ framework to examine HSR station area development dynamics: Station typologies and development strategies

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  • Zheng, Wei
  • Wei, Sheng

Abstract

High-speed railway (HSR) stations play an important role in shaping the development/redevelopment of the surrounding areas. While different studies have been conducted to explore station area development, they tend to simplify the conceptualisation of station area development and lack a comprehensive perspective that captures how different variables at multiple levels are interacted with station area development. This research proposes the ‘node-place-network-city’ framework, an innovative extension of the traditional ‘node-place’ model, to analyse station area development. Focusing on 123 HSR station areas in the Yangtze River Delta as of 2018, this research employs spatial big data to explore the intricate relationships between various city and network indicators and station area development. Unlike previous studies that have typically simplified station area development and treated the relationships as linear, this study adopts a decision tree model. This method effectively identifies diverse typologies of HSR stations and facilitates the formulation of tailored development strategies for each type. This research significantly contributes to the theoretical understanding of HSR station area development and provides valuable and actionable insights for urban planners and policymakers. It marks a step forward in comprehensively assessing and guiding the development of HSR station areas, thereby offering a robust framework for both academic research and practical application in spatial planning.

Suggested Citation

  • Zheng, Wei & Wei, Sheng, 2024. "A ‘node-place-network-city’ framework to examine HSR station area development dynamics: Station typologies and development strategies," Journal of Transport Geography, Elsevier, vol. 120(C).
    • Handle: RePEc:eee:jotrge:v:120:y:2024:i:c:s0966692324002023
    DOI: 10.1016/j.jtrangeo.2024.103993
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    as
    1. Gert Sabidussi, 1966. "The centrality index of a graph," Psychometrika, Springer;The Psychometric Society, vol. 31(4), pages 581-603, December.
    2. Juan Luis Campa & Francesca Pagliara & María Eugenia López-Lambas & Rosa Arce & Begoña Guirao, 2019. "Impact of High-Speed Rail on Cultural Tourism Development: The Experience of the Spanish Museums and Monuments," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    3. Liu, Liwen & Zhang, Ming, 2018. "High-speed rail impacts on travel times, accessibility, and economic productivity: A benchmarking analysis in city-cluster regions of China," Journal of Transport Geography, Elsevier, vol. 73(C), pages 25-40.
    4. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    5. Kim, Hyojin & Sultana, Selima, 2015. "The impacts of high-speed rail extensions on accessibility and spatial equity changes in South Korea from 2004 to 2018," Journal of Transport Geography, Elsevier, vol. 45(C), pages 48-61.
    6. Kim, Hyojin & Sultana, Selima & Weber, Joe, 2018. "A geographic assessment of the economic development impact of Korean high-speed rail stations," Transport Policy, Elsevier, vol. 66(C), pages 127-137.
    7. Wang, Chao & Chen, Junjing & Li, Boyan & Chen, Nengcheng & Wang, Wei, 2023. "Impact of high-speed railway construction on spatial patterns of regional economic development along the route: A case study of the Shanghai–Kunming high-speed railway," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    8. Li, Xiaolong & Wu, Zongfa & Zhao, Xingchen, 2020. "Economic effect and its disparity of high speed rail in China: A study of mechanism based on synthesis control method," Transport Policy, Elsevier, vol. 99(C), pages 262-274.
    9. Chorus, Paul & Bertolini, Luca, 2011. "An application of the node-place model to explore the spatial development dynamics of station areas in Tokyo," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(1), pages 45-58.
    10. Pagliara, Francesca & Mauriello, Filomena & Garofalo, Antonio, 2017. "Exploring the interdependences between High Speed Rail systems and tourism: Some evidence from Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 300-308.
    11. Zekun Li & Shenjing He & Shiliang Su & Guie Li & Fei Chen, 2020. "Public Services Equalization in Urbanizing China: Indicators, Spatiotemporal Dynamics and Implications on Regional Economic Disparities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 1-65, November.
    12. Martín, Belén & Ortega, Emilio & de Isidro, Ágata & Iglesias-Merchan, Carlos, 2021. "Improvements in high-speed rail network environmental evaluation and planning: An assessment of accessibility gains and landscape connectivity costs in Spain," Land Use Policy, Elsevier, vol. 103(C).
    13. Andersson, David Emanuel & Shyr, Oliver F. & Fu, Johnson, 2010. "Does high-speed rail accessibility influence residential property prices? Hedonic estimates from southern Taiwan," Journal of Transport Geography, Elsevier, vol. 18(1), pages 166-174.
    14. Inmaculada Mohíno & Marie Delaplace & José M. de Ureña, 2019. "The influence of metropolitan integration and type of HSR connections on developments around stations. The case of cities within one hour from Madrid and Paris," International Planning Studies, Taylor & Francis Journals, vol. 24(2), pages 156-179, April.
    15. Li, Zekun & Han, Zixuan & Xin, Jing & Luo, Xin & Su, Shiliang & Weng, Min, 2019. "Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning," Land Use Policy, Elsevier, vol. 82(C), pages 269-282.
    16. Huang, Zhonghua & Du, Xuejun, 2021. "How does high-speed rail affect land value? Evidence from China," Land Use Policy, Elsevier, vol. 101(C).
    17. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    18. Amparo Moyano & Frédéric Dobruszkes, 2017. "Mind the services! High-speed rail cities bypassed by high-speed trains," ULB Institutional Repository 2013/261983, ULB -- Universite Libre de Bruxelles.
    19. Bo Huang & Yulun Zhou & Zhigang Li & Yimeng Song & Jixuan Cai & Wei Tu, 2020. "Evaluating and characterizing urban vibrancy using spatial big data: Shanghai as a case study," Environment and Planning B, , vol. 47(9), pages 1543-1559, November.
    20. Zheng, Longfei & Long, Fenjie & Chang, Zheng & Ye, Jingsong, 2019. "Ghost town or city of hope? The spatial spillover effects of high-speed railway stations in China," Transport Policy, Elsevier, vol. 81(C), pages 230-241.
    21. Ortuño-Padilla, Armando & Espinosa-Flor, Aitor & Cerdán-Aznar, Lara, 2017. "“Development strategies at station areas in southwestern China: The case of Mianyang city”," Land Use Policy, Elsevier, vol. 68(C), pages 660-670.
    22. Ortega, Emilio & López, Elena & Monzón, Andrés, 2012. "Territorial cohesion impacts of high-speed rail at different planning levels," Journal of Transport Geography, Elsevier, vol. 24(C), pages 130-141.
    23. 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).
    24. Gang-Zhi Fan & Seow Eng Ong & Hian Chye Koh, 2006. "Determinants of House Price: A Decision Tree Approach," Urban Studies, Urban Studies Journal Limited, vol. 43(12), pages 2301-2315, November.
    25. Mi Diao & Yi Zhu & Jiren Zhu, 2017. "Intra-city access to inter-city transport nodes: The implications of high-speed-rail station locations for the urban development of Chinese cities," Urban Studies, Urban Studies Journal Limited, vol. 54(10), pages 2249-2267, August.
    26. Wang, Lei, 2018. "High-speed rail services development and regional accessibility restructuring in megaregions: A case of the Yangtze River Delta, China," Transport Policy, Elsevier, vol. 72(C), pages 34-44.
    27. Jiao, Jingjuan & Wang, Jiaoe & Zhang, Fangni & Jin, Fengjun & Liu, Wei, 2020. "Roles of accessibility, connectivity and spatial interdependence in realizing the economic impact of high-speed rail: Evidence from China," Transport Policy, Elsevier, vol. 91(C), pages 1-15.
    28. Sheng Wei & Lei Wang, 2020. "Examining the population flow network in China and its implications for epidemic control based on Baidu migration data," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.
    29. Freke Caset & David S. Vale & Cláudia M. Viana, 2018. "Measuring the Accessibility of Railway Stations in the Brussels Regional Express Network: a Node-Place Modeling Approach," Networks and Spatial Economics, Springer, vol. 18(3), pages 495-530, September.
    30. Freke Caset & David S. Vale & Cláudia M. Viana, 2018. "Correction to: Measuring the Accessibility of Railway Stations in the Brussels Regional Express Network: a Node-Place Modeling Approach," Networks and Spatial Economics, Springer, vol. 18(3), pages 531-531, September.
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