Establishment of Urban Rail Safety Protection and Emergency Management Education Framework Integrating STEM & PCOM Matrix
DOI:
https://doi.org/10.54097/zdf5jh17Keywords:
Urban Rail, STEM, PCOM, AI, Matrix, Education System FrameworkAbstract
From the perspective of systems engineering, apart from the technical reasons of the rail transit itself, the deficiencies in planning and design, as well as the misunderstandings of various professional operation managers regarding the use of rail transit equipment and emergency evacuation, are all the causes of the frequent occurrence of rail transit accidents. A systematic knowledge system covering multiple links and targeting multiple objects for rail transit risks is of vital importance. This thesis focuses on the planning, construction, operation, passenger organization and emergency management of rail transit, and constructs a system of basic consensus, professional knowledge, safety protection and key technical points for emergency response. The aim is to establish a common understanding basis for all kinds of people, including planners, constructors, operators and passengers, regarding each link of rail transit, and break through the knowledge blind spots and barriers caused by thinking inertia, professional limitations and cognitive differences. This paper proposes the concept of "PCOM's full-process safety and emergency management control" for the urban rail transit safety and emergency management major and courses, and constructs a course matrix based on the STEM concept, the proposed matrix that includes science, technology, engineering, and mathematics, as well as planning, construction, operation and emergency processes. This kind of matrix construction is conducive to enhancing the practicality and systematic level of higher education when conducting course education in complex scenarios such as urban rail transit operations.
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[1] Marchese, D., Reynolds, E., Bates, M. E., et al. (2018). Resilience and sustainability: Similarities and differences in environmental management applications[J]. Science of the Total Environment, 613, 1275-1283.
[2] Wei,B., Igor, L.B., Kristen M.A..(2025). Supporting urban sustainability through resilient rail transit systems[J]. Cities, 167:1-5.
[3] Besinovic, N. (2020). Resilience in railway transport systems: A literature review and research agenda[J]. Trans- port Reviews, 40(4), 457-478.
[4] Ma, Z., Yang, X., Wu, J.J., et al.(2022). Measuring the resilience of an urban rail transit network:A multi- dimensional evaluation model[J].Transport Policy,129,38- 50
[5] Huang, H., Li,R., Wang, W.,et al. (2023). Concepts, models and indicator systems for urban safety resilience: a literature review and an exploration in China[J].Journal of Safety Science and Resilience,4(2):30–42.
[6] Wen, X., Si, B., Wei, Y., et al.(2025). Resilience assess- ment of urban rail transit systems: A literature review [J]. Public Transport, 1-25.
[7] Yadav,N.,Chatterjee,S.,Ganguly, A.R.(2020). Resilience of urban transport network under intense flood hazards exacerbated by targeted attacks[J]. Scientific Reports,10,1- 14.
[8] Lehmann, M., Fryd, O..(2008). Urban quality develop- ment and management: capacity development and continued education for the sustainable city[J]. International Journal of Sustainability in Higher Education, 9(1):21-38.
[9] Li,C.,Wang,Y.B..(2025).Evaluation of the underground space safety resilience of Chinese urban agglomerations based on the “Pressure-State-Response”: A case study of underground rail transit in 26 cities[J].Journal of Safety Science and Resilience, 6(3):1-16.
[10] Zhu, J.(2014).Research on urban architecture design based on the concept of smart city[J].Journal of Architecture and Geo-technology Engineering, 6:116-122.
[11] Tao, S., Zhang, M., Wu, J. (2021).Big data applica- tions in urban transport research in Chinese cities: An overview. In Big Data Applications in Geography and Plan- ning [M]. Edward Elgar Publishing: Cheltenham, UK, 220–244.
[12] Anna,S., Andreas,G., Timo,L.,et al.(2013).The effects of computer-simulation game training on participants' opinions on leadership styles[J]. British Journal of Educational Technology, 44(6):1012-1035.
[13] Sun, C.H., Wu, H.T., Yang, Z.H., et al.(2025).Robotic Simulation Systems and Intelligent Offline Teaching for Urban Rail Transit Maintenance[J]. Electronics,14(12):1-45.
[14] Li,J..(2024).Construction of the Normal Safety Prevention and Emergency Education System for Rail Transit[J]. Overview of Disaster Prevention, 2:4-11.
[15] Hu,A.N.,Hibel,J..(2015).Where do STEM majors lose their advantage? Contextualizing horizontal stratification of higher education in urban China[J].Research in Social Stratification and Mobility,41:66-78.
[16] Shchedrina, E., Galkina, E., Petunina, I., et al. (2020). Integration of Mobile Learning into Complex Problem- Solving Processes during STEM Education[J]. International Journal of Interactive Mobile Technologies, 14(21):19-37.
[17] Li,J.,Yang,B.,Wang, X.,et al.(2024).Teaching Research on the Major of Urban Emergency Management Based on System Theory: Taking the Course of Rail Transit Operation and Emergency as an Example[J]. Journal of Higher Education, 10 (21):120-124.
[18] Yue,Q..(2024). The Dilemma and Optimization Path of Emergency Management Major Construction in Local Universities under the Background of New Liberal Arts[J]. Journal of China Emergency Management Science, 2024,(2): 111-119.
[19] Bao, X.D.(2018).Urban Rail Transit Present Situation and Future Development Trends in China: Overall Analysis Based on National Policies and Strategic Plans in 2016-2020 [J]. Urban Rail Transit, 4 (1):1-12.
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