IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v98y2022ics0966692321003252.html
   My bibliography  Save this article

Intercity connections by expressway in metropolitan areas: Passenger vs. cargo flow

Author

Listed:
  • Chen, Zhuo
  • Wang, Jiaoe
  • Li, Yongling

Abstract

No abstract is available for this item.

Suggested Citation

  • Chen, Zhuo & Wang, Jiaoe & Li, Yongling, 2022. "Intercity connections by expressway in metropolitan areas: Passenger vs. cargo flow," Journal of Transport Geography, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:jotrge:v:98:y:2022:i:c:s0966692321003252
    DOI: 10.1016/j.jtrangeo.2021.103272
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692321003252
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2021.103272?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
    ---><---

    References listed on IDEAS

    as
    1. Jiao, Jingjuan & Wang, Jiaoe & Jin, Fengjun, 2017. "Impacts of high-speed rail lines on the city network in China," Journal of Transport Geography, Elsevier, vol. 60(C), pages 257-266.
    2. John D. Nystuen & Michael F. Dacey, 1961. "A Graph Theory Interpretation Of Nodal Regions," Papers in Regional Science, Wiley Blackwell, vol. 7(1), pages 29-42, January.
    3. Wang, Jiaoe & Du, Delin & Huang, Jie, 2020. "Inter-city connections in China: High-speed train vs. inter-city coach," Journal of Transport Geography, Elsevier, vol. 82(C).
    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, 2022. "The intercity railway connections in China: A comparative analysis of high-speed train and conventional train services," Transport Policy, Elsevier, vol. 120(C), pages 89-103.
    2. Haoran Zhang & Ying Chai & Xuyu Yang & Wenli Zhao, 2022. "High-Speed Rail and Urban Growth Disparity: Evidence from China," Sustainability, MDPI, vol. 14(13), pages 1-13, July.
    3. Zhang, Yahua & Zhang, Anming & Wang, Jiaoe, 2020. "Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 94(C), pages 34-42.
    4. Chen, Fanglin & Chen, Zhongfei, 2023. "High-speed rail and happiness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. Wang, Hongzheng & Lu, Xinhai & Feng, Lianyue & Yuan, Zhihang & Tang, Yifeng & Jiang, Xu, 2023. "Dynamic change and evolutionary mechanism of city land leasing network—Taking the Yangtze River Delta region in China as an example," Land Use Policy, Elsevier, vol. 132(C).
    6. Cheng, Junmei & Chen, Zhenhua, 2021. "Impact of high-speed rail on the operational capacity of conventional rail in China," Transport Policy, Elsevier, vol. 110(C), pages 354-367.
    7. Tian, Meng & Wang, Yiwei & Wang, Yiran, 2023. "High-speed rail network and urban agglomeration economies: Research from the perspective of urban network externalities," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    8. 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.
    9. 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).
    10. Yang, Zhiwei & Li, Can & Jiao, Jingjuan & Liu, Wei & Zhang, Fangni, 2020. "On the joint impact of high-speed rail and megalopolis policy on regional economic growth in China," Transport Policy, Elsevier, vol. 99(C), pages 20-30.
    11. Kropp, Per & Schwengler, Barbara, 2017. "Stability of functional labour market regions," IAB-Discussion Paper 201721, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Buttler, Günter, 1975. "Die Abgrenzung regionaler Arbeitsmärkte mit Hilfe von Klassifikationsverfahren," Mitteilungen aus der Arbeitsmarkt- und Berufsforschung, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 8(3), pages 243-250.
    13. Pálóczi, Gábor & Pénzes, János & Hurbánek, Pavol & Halás, Marián & Klapka, Pavel, 2016. "Attempts to delineate functional regions in Hungary based on commuting data," MPRA Paper 74497, University Library of Munich, Germany.
    14. Wu, Rong & Li, Yingcheng & Wang, Shaojian, 2022. "Will the construction of high-speed rail accelerate urban land expansion? Evidences from Chinese cities," Land Use Policy, Elsevier, vol. 114(C).
    15. Jinping Lin & Kangmin Wu, 2023. "Intercity asymmetrical linkages influenced by Spring Festival migration and its multivariate distance determinants: a case study of the Yangtze River Delta Region in China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    16. Hiramatsu, Tomoru, 2023. "Inter-metropolitan regional migration galvanized by high-speed rail: A simulation analysis of the Linear Chuo Shinkansen line in Japan," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    17. Fei Ma & Yujie Zhu & Kum Fai Yuen & Qipeng Sun & Haonan He & Xiaobo Xu & Zhen Shang & Yan Xu, 2022. "Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network: A Public Search Attention Perspective," IJERPH, MDPI, vol. 19(1), pages 1-25, January.
    18. Poorthuis, Ate & van Meeteren, Michiel, 2019. "Containment and connectivity in Dutch urban systems: A network-analytical operationalization of the three-systems model," SocArXiv y7dxf, Center for Open Science.
    19. Dai, Liang & Derudder, Ben & Liu, Xingjian, 2018. "Transport network backbone extraction: A comparison of techniques," Journal of Transport Geography, Elsevier, vol. 69(C), pages 271-281.
    20. Hongchang Li & Jack Strauss & Lihong Liu, 2019. "A Panel Investigation of High-Speed Rail (HSR) and Urban Transport on China’s Carbon Footprint," Sustainability, MDPI, vol. 11(7), pages 1-24, April.

    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:jotrge:v:98:y:2022:i:c:s0966692321003252. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.