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A Data-Driven Framework for Intercity Rail Planning: Economic Spillovers in the Yangtze River Delta

Author

Listed:
  • Yuemei Mai

    (Hebei Jiaotong Vocational and Technical College, China)

  • Xiaoming Zhao

    (Hebei Jiaotong Vocational and Technical College, China)

  • Yanmei Jiang

    (Hebei Jiaotong Vocational and Technical College, China)

Abstract

The authors developed a data-driven decision support framework for intercity rail transit network planning and used it to empirically investigate the impact mechanisms of intercity rail transit networks on economic spatial spillovers within the Yangtze River Delta core metropolitan area. The findings, which are based on panel data from 2013 to 2022 and integrate the spatial Durbin model with bootstrap mediation tests, reveal that network connectivity exerts a significant positive influence on economic spillovers. This process is facilitated through dual mediation pathways: (a) IND (contributing 41.5%) and (b) MIG. Furthermore, significant node heterogeneity was identified, with the spillover intensity of primary hubs being 2.9 times that of ordinary nodes. The results provide robust evidence for formulating differentiated rail network planning and industrial synergy policies and offer precise decision-making support for regional integration.

Suggested Citation

  • Yuemei Mai & Xiaoming Zhao & Yanmei Jiang, 2026. "A Data-Driven Framework for Intercity Rail Planning: Economic Spillovers in the Yangtze River Delta," International Journal of Decision Support System Technology (IJDSST), IGI Global Scientific Publishing, vol. 18(1), pages 1-27, January.
    • Handle: RePEc:igg:jdsst0:v:18:y:2026:i:1:p:1-27
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