Research on Digital-Intelligent Transformation Scheme of State-owned Enterprises’ Logistics and Warehousing Resources for Dual Routine-Emergency Use in Response to Major Emergencies in the Capital — A Case Study of a Logistics Enterprise in Beijing
DOI:
https://doi.org/10.71204/rkd9jh81Keywords:
Dual-use for Routine and Emergency, Major Emergencies, Logistics and Warehousing ResourcesAbstract
Against the strategic backdrop of building resilient cities and modernizing emergency management, the digital and intelligent transformation of logistics and warehousing resources of state-owned enterprises for dual-use in routine and emergency scenarios has become a key approach to enhancing the safety resilience and emergency material support capacity of megacities. Taking a logistics company in Beijing, a state-owned enterprise affiliated with Beijing Municipality, as a typical case, this paper systematically explores the digital and intelligent transformation scheme for logistics and warehousing resources of state-owned enterprises targeting major emergencies in the capital, following the logical thread of policy response - current situation assessment - demand mapping - digital and intelligent integration - supporting adaptation.Through field investigations and in-depth interviews, this study comprehensively identifies the current status of the enterprise's warehousing resources and the deficiencies in its routine-emergency conversion capacity. It establishes a scenario spectrum of major emergencies in the capital to accurately map the conversion demands for logistics and warehousing resources under emergency conditions. On this basis, a three-in-one digital and intelligent transformation scheme covering hardware transformation, software upgrading and intelligent support is formulated, and a three-phase implementation path of near-term breakthrough, medium-term development and long-term collaboration is planned.Furthermore, this research builds a support system from four dimensions: organization, capital, technology and institution. It aims to form a replicable and promotable model for the digital transformation of state-owned logistics enterprises featuring dual-use in routine and emergency scenarios, and deliver policy-compliant and practical solutions to improve the resilience of emergency logistics in megacities.
References
Fang, J., Wang, S. (2025). Research on Government-Enterprise Joint Reserve Based on Evolutionary Game under the Routine-Emergency Conversion Mode. Supply Chain Management, (11), 58-70.
Li, D. (2025). The “dual-use for routine and emergency” mode of suburban large warehouses: A strategic pivot for emergency response and national security. Supply Chain Management, (1), 1-12.
Li, Y., Li, R., Shen, J., et al. (2025). Research on territorial spatial planning response strategies for “dual-use for routine and emergency” public infrastructure based on resilient city theory. Small Town Construction, (1), 21-32.
National Development and Reform Commission. (2024). Implementation plan for the construction of suburban large warehouse bases [Policy document]. http://www.56ec.org.cn/news/zcfg/2024-10-14/46797.html
Publicity and Education Center of the National Food and Strategic Reserves Administration. (2025, December 10). Artificial intelligence drives emergency logistics to leap from experience-based decision-making to intelligent mode [Online article].
Wei, J., & Wang, C. (2025). Accelerating the digital and intelligent development of the emergency logistics system. New Economy Guide, (10), 1-13.
Zhai, B., & Yuan, L. (2024). The “dual-use for routine and emergency” public infrastructure system and its mechanism construction. Urban Development Studies, (6).
Zhai, Y. (2025). Research on standard differences and unification paths for “dual-use for routine and emergency” public infrastructure construction in China. Science & Technology Vision, (16), 53–56.
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Copyright (c) 2026 Xueqing Wang, Jingxuan Zhang, Yupeng Shao, Yukun Wang (Author)

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