Skip to main content
Log in

Risk warning technologies and emergency response mechanisms in Sichuan—Tibet Railway construction

  • Review Article
  • Published:
Frontiers of Engineering Management Aims and scope Submit manuscript

Abstract

Safety is one of the most critical themes in any large-scale railway construction project. Recognizing the importance of safety in railway engineering, practitioners and researchers have proposed various standards and procedures to ensure safety in construction activities. In this study, we first review four critical research areas of risk warning technologies and emergency response mechanisms in railway construction, namely, (i) risk identification methods of large-scale railway construction projects, (ii) risk management of large-scale railway construction, (iii) emergency response planning and management, and (iv) emergency response and rescue mechanisms. After reviewing the existing studies, we present four corresponding research areas and recommendations on the Sichuan-Tibet Railway construction. This study aims to inject new significant theoretical elements into the decision-making process and construction of this railway project in China.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Andreas A, Smith C (2008). Mathematical programming algorithms for two-path routing problems with reliability considerations. INFORMS Journal on Computing, 20(4): 553–564

    Article  MathSciNet  MATH  Google Scholar 

  • Andreas A, Smith C (2009). Decomposition algorithms for the design of a non-simultaneous capacitated evacuation tree network. Networks, 53(2): 91–103

    Article  MathSciNet  MATH  Google Scholar 

  • Bababeik M, Khademi N, Chen A (2018). Increasing the resilience level of a vulnerable rail network: The strategy of location and allocation of emergency relief trains. Transportation Research Part E: Logistics and Transportation Review, 119: 110–128

    Article  Google Scholar 

  • Berman O, Krass D, Menezes M (2007). Facility reliability issues in network p-median problems: Strategic centralization and co-location effects. Operations Research, 55(2): 332–350

    Article  MathSciNet  MATH  Google Scholar 

  • Butts C T (2009). Revisiting the foundations of network analysis. Science, 325(5939): 414–116

    Article  MathSciNet  MATH  Google Scholar 

  • Cacchiani V, Huisman D, Kidd M, Kroon L, Toth P, Veelenturf L, Wagenaar J (2014). An overview of recovery models and algorithms for real-time railway rescheduling. Transportation Research Part B: Methodological, 63: 15–37

    Article  Google Scholar 

  • Cai M, Deng Y, Tang Z (2010). An optimal spatio-temporal path algorithm for urban emergency rescue. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 38: 1–5

    Google Scholar 

  • Castro J, Nasini S, Saldanha-da-Gama F (2017). A cutting-plane approach for large scale capacitated multi-period facility location using a specialized interior-point method. Mathematical Programming, 163(1–2): 411–444

    Article  MathSciNet  MATH  Google Scholar 

  • Chen F (2016). SJKZ Construction Engineering Project as An Example of Railway Construction Project Risk Management. Dissertation for the Master’s Degree. Jinan: Shandong University (in Chinese)

    Google Scholar 

  • Cheng Y, Liang Z (2014). A strategic planning model for the railway system accident rescue problem. Transportation Research Part E: Logistics and Transportation Review, 69: 75–96

    Article  Google Scholar 

  • Cosgrave J (1996). Decision making in emergencies. Disaster Prevention and Management, 5(4): 28–35

    Article  Google Scholar 

  • Dai G, Da Q (2000). The study of combinatorial scheduling problem in emergency systems. Systems Engineering-Theory & Practice, 20(9): 52–55 (in Chinese)

    Google Scholar 

  • Deng Y, Zheng S, Liu G, Liu T (2005). Study on city emergency capability assessment system. Journal of Safety Science and Technology, (6): 33–36 (in Chinese)

  • Dong S, Yang Y, Li F, Cheng H, Li J, Bilgaev A, Li Z, Li Y (2018). An evaluation of the economic, social, and ecological risks of China-Mongolia-Russia high-speed railway construction and policy suggestions. Journal of Geographical Sciences, 28(7): 900–918

    Article  Google Scholar 

  • Duan M, Chen G, Dong B, Li S (2017). Emergency rescue path selection model under uncertain information. Journal of Transportation Systems Engineering and Information Technology, 17(4): 173–181 (in Chinese)

    Google Scholar 

  • Fan W (2007). Thoughts and suggestions on scientific problems in national emergency management during emergency crisis. Bulletin of National Natural Science Foundation of China, (2): 71–76 (in Chinese)

  • Fan Y, Li Z, Pei J, Li H, Sun J (2015). Applying systems thinking approach to accident analysis in China: Case study of “7.23” Yong-Tai-Wen high-speed train accident. Safety Science, 76: 190–201

    Article  Google Scholar 

  • Gao Y (2012). Uncertain models for single facility location problems on networks. Applied Mathematical Modelling, 36(6): 2592–2599

    Article  MathSciNet  MATH  Google Scholar 

  • Gao Y, Wen M, Ding S (2013). (s, S) policy for uncertain single period inventory problem. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, 21(6): 945–953

    Article  MathSciNet  MATH  Google Scholar 

  • Ge C, Wang X, Guan X (2011). A multi-covering model and its algorithm for facility location response for large-scale emergencies. Operations Research and Management Science, 20(5): 50–56 (in Chinese)

    Google Scholar 

  • Gu Y (2009). The Study of Regional Emergency Material Reserve and Dispatching Facing Major Emergencies. Dissertation for the Doctoral Degree. Wuhan: Wuhan University of Technology (in Chinese)

    Google Scholar 

  • Guo J (2018). Discussion on pre-plan design in railway emergency management. Shandong Industrial Technology, 266(12): 211 (in Chinese)

    Google Scholar 

  • Guo R, Zhou F (2015). Study of the progress control of the oversea EPC railway project. Value Engineering, 34(32): 71–73 (in Chinese)

    Google Scholar 

  • Guo X (2017). The study of emergency material dispatching of hydropower enterprises under sudden natural disasters. Dissertation for the Master Degree. Chongqing: Chongqing University (in Chinese)

    Google Scholar 

  • Han H (2017). Emergency Material Dispatch Method Taking into Account Road Conditions. Dissertation for the Master’s Degree. Wuhan: Wuhan University (in Chinese)

    Google Scholar 

  • Hong X, Lejeune M A, Noyan N (2015). Stochastic network design for disaster preparedness. IIE Transactions, 47(4): 329–357

    Article  Google Scholar 

  • Jena S D, Cordeau J F, Gendron B (2015). Dynamic facility location with generalized modular capacities. Transportation Science, 49(3): 484–499

    Article  Google Scholar 

  • Jenkins L (2000). Selecting scenarios for environmental disaster planning. European Journal of Operational Research, 121(2): 275–286

    Article  MATH  Google Scholar 

  • Jin J (2019). Research on Risk Evaluation of International Railway Corridors Construction among Countries along “The Belt and Road”. Dissertation for the Doctoral Degree. Beijing: China Academy of Railway Sciences (in Chinese)

    Google Scholar 

  • Jin J, Li Z, Zhu L, Yang C (2019a). A research on risk assessment of China railway “Go-Global” project construction. Railway Transport and Economy, 41(2): 82–87 (in Chinese)

    Google Scholar 

  • Jin J, Li Z, Zhu L, Tong X, Yang C (2019b). Application of BP neural network in risk evaluation of railway construction. Journal of Railway Engineering Society, 36(3): 103–109 (in Chinese)

    Google Scholar 

  • Knight K, Robinson Fayek A (2002). Use of fuzzy logic for predicting design cost overruns on building projects. Journal of Construction Engineering and Management, 128(6): 503–512

    Article  Google Scholar 

  • Kovacevic M S, Gavin K, Oslakovic S, Bacic M (2016). A new methodology for assessment of railway infrastructure condition. Transportation Research Procedia, 14: 1930–1939

    Article  Google Scholar 

  • Lagadec L R, Moulin L, Braud I, Chazelle B, Breil P (2018). A surface runoff mapping method for optimizing risk assessment on railways. Safety Science, 110: 253–267

    Article  Google Scholar 

  • Leitner B (2017). A general model for railway systems risk assessment with the use of railway accident scenarios analysis. Procedia Engineering, 187: 150–159

    Article  Google Scholar 

  • Li A, Nozick L, Xu N, Davidson R (2012). Shelter location and transportation planning under hurricane conditions. Transportation Research Part E: Logistics and Transportation Review, 48(4): 715–729

    Article  Google Scholar 

  • Li H (2010). Research on new model of the emergency management phase theory. Journal of Safety Science and Technology, 6(5): 18–22 (in Chinese)

    Google Scholar 

  • Li H (2015a). Research of Electric Power Emergency Materials Scheduling Optimization Model under Natural Disasters. Dissertation for the Master’s Degree. Beijing: North China Electric Power University (in Chinese)

    Google Scholar 

  • Li H (2015b). A Research on Construction Schedule Risk of Railway Engineering Project. Dissertation for the Doctoral Degree. Nanchang: Jiangxi University of Science and Technology (in Chinese)

    Google Scholar 

  • Li L, Wang F Z (2012). Railway incident and emergency decision-making research. Journal of Institute of Disaster Prevention, 14(3): 58–63 (in Chinese)

    Google Scholar 

  • Li Q, Liu R, Zhang J, Sun Q (2014). Quality risk management model for railway construction projects. Procedia Engineering, 84: 195–203

    Article  Google Scholar 

  • Li S, Liu J, Wang B, Xiao L (2010). Unconventional incident management research based on scenarios—“The First International Forum on Incident Management” (IFIM09) overview. Journal of University of Electronic Science and Technology of China (Social Sciences Edition), 12(1): 1–3, 14 (in Chinese)

    Google Scholar 

  • Li S, Tian Y, Wu Y (2019). Research on the risk assessment of railway engineering project based on FAHP model. Journal of Railway Engineering Society, 36(7): 92–99 (in Chinese)

    Google Scholar 

  • Li Y, Peng S, Li Y, Jiang W (2020). A review of condition-based maintenance: Its prognostic and operational aspects. Frontiers of Engineering Management, 7(3): 323–334

    Article  Google Scholar 

  • Liang X (2011). Research on Safety Management Information System of Railway Construction Project. Dissertation for the Master’s Degree. Beijing: Beijing Jiaotong University (in Chinese)

    Google Scholar 

  • Liao R (2019). Modeling and simulation of risk prevention and control of TIR system based on super-network. Journal of Shanghai Maritime University, 40(1): 51–58 (in Chinese)

    Google Scholar 

  • Lin X (2007). Research on Resource Scheduling of Emergency Management in Emergencies. Dissertation for the Master’s Degree. Xiamen: Xiamen University (in Chinese)

    Google Scholar 

  • Liu C, Shi J, Li C (2002). Selection of the combinatorial optimal scheme for fuzzy emergency system. Journal of Industrial Engineering and Engineering Management, 16(2): 25–28 (in Chinese)

    Google Scholar 

  • Liu H (2014). Research on Robustness of Network Facilities Location under Uncertainty. Dissertation for the Doctoral Degree. Wuhan: Huazhong University of Science and Technology (in Chinese)

    Google Scholar 

  • Liu M, You D (2011). Research on construction mode of risk early warning system of railway construction project. Project Management Technology, 9(8): 58–63 (in Chinese)

    Google Scholar 

  • Liu T (2012). Study on scenario planning and construction of major emergencies. China Emergency Management, (4): 18–23 (in Chinese)

  • Liu X (2017). Research on Assistant Decision Method of Railway Emergency Management. Dissertation for the Doctoral Degree. Beijing: China Academy of Railway Sciences (in Chinese)

    Google Scholar 

  • Luo X (2017). Research on Location Model of Water Emergency and Rescue Comprehensive Base in the Three Gorges Reservoir Area. Dissertation for the Doctoral Degree. Wuhan: Wuhan University of Technology (in Chinese)

    Google Scholar 

  • Mileti D S (1975). Natural Hazard Warning Systems in the United States: A Research Assessment. Boulder, CO: Institute of Behavioral Science, University of Colorado

    Google Scholar 

  • Mulholland B, Christian J (1999). Risk assessment in construction schedules. Journal of Construction Engineering and Management, 125(1): 8–15

    Article  Google Scholar 

  • Niu H, Li P, Wang F (2009). Research on modeling and simulation of multi-emergency-areas model for emergency resource dispatch in railway emergency events. Railway Computer Application, 18(12): 20–22 (in Chinese)

    Google Scholar 

  • Ortiz-Astorquiza C, Contreras I, Laporte G (2019). An exact algorithm for multilevel uncapacitated facility location. Transportation Science, 53(4): 1085–1106

    Article  MATH  Google Scholar 

  • Özdamar L, Ekinci E, Küçükyazici B (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129(1–4): 217–245

    Article  MathSciNet  MATH  Google Scholar 

  • Peng B (2011). Quality Risk Analysis of Beijing-Shanghai High-Speed Railway Construction Project Based on Bayesian Network. Dissertation for the Master’s Degree. Chengdu: Southwest Jiaotong University (in Chinese)

    Google Scholar 

  • Perry R W, Lindell M K (2003). Preparedness for emergency response: Guidelines for the emergency planning process. Disasters, 27(4): 336–350

    Article  Google Scholar 

  • Qin Z, Kar S (2013). Single-period inventory problem under uncertain environment. Applied Mathematics and Computation, 219(18): 9630–9638

    Article  MathSciNet  MATH  Google Scholar 

  • Ren X (2010). Engineering Risk Management. Beijing: Beijing Jiaotong University Press

    Google Scholar 

  • Rong L (2014). Research on the construction method of emergency plan system. China Emergency Management, (8): 23–29 (in Chinese)

  • Salmerón J, Apte A (2010). Stochastic optimization for natural disaster asset prepositioning. Production and Operations Management, 19(5): 561–574

    Article  Google Scholar 

  • Sañudo R, Bordagaray M, dell’Olio L, Ibeas Á (2014). Discrete choice models to determine high-speed passenger stop under emergency conditions. Transportation Research Procedia, 3: 234–240

    Article  Google Scholar 

  • Shi W, Yan H, Wang Z (2007). Control method for multi-period production/inventory model under random demands. Control and Decision, 22(9): 994–999 (in Chinese)

    MATH  Google Scholar 

  • Song Q (2011). Research on Emergency Resource Dispatching Problem of Railway Emergencies. Dissertation for the Master’s Degree. Chengdu: Southwest Jiaotong University (in Chinese)

    Google Scholar 

  • Sorrill C M (1987). Risk analysis for large projects: Models, methods and cases. Journal of the Operational Research Society, 38(12): 1217

    Google Scholar 

  • Stallings R A, Quarantelli E L (1985). Emergent citizen groups and emergency management. Public Administration Review, 45: 93–100

    Article  Google Scholar 

  • Suh S D (2000). Risk management in a large-scale new railway transport system project: Evaluation of Korean high speed railway experience. IATSS Research, 24(2): 53–63

    Article  Google Scholar 

  • Sun W (2012). Research on Route Selection of Emergency Rescue Vehicle under Sudden Disaster. Dissertation for the Master’s Degree. Changchun: Jilin University (in Chinese)

    Google Scholar 

  • Tan X, Gong K (2015). Emergency rescue route optimization based on decision utility analysis. Systems Engineering, 33(4): 131–135 (in Chinese)

    Google Scholar 

  • Tang K, Yang C, Yang J (2008). Research on multi-stage random location inventory model. Journal of Wuhan University of Technology (Information & Management Engineering), 30(5): 795–799 (in Chinese)

    Google Scholar 

  • Tang S, Li X (2013). Study on method for assessment of vulnerability of railway emergency rescue system. Journal of the China Railway Society, 35(7): 14–20 (in Chinese)

    Google Scholar 

  • Törnquist Krasemann J (2012). Design of an effective algorithm for fast response to the re-scheduling of railway traffic during disturbances. Transportation Research Part C: Emerging Technologies, 20(1): 62–78

    Article  Google Scholar 

  • Tufekci S, Wallace W A (1998). The emerging area of emergency management and engineering. IEEE Transactions on Engineering Management, 45(2): 103–105

    Article  Google Scholar 

  • Wang D (2009). Study on railway construction project risk management. Inner Mongolia Science Technology & Economy, (11): 75–76 (in Chinese)

  • Wang L, Li Y, Wang E (2011). Research on risk management of railway engineering construction. Systems Engineering Procedia, 1: 174–180

    Article  Google Scholar 

  • Wang Y (2011). Research on Context Reconstruction Model of Unconventional Emergency. Dissertation for the Doctoral Degree. Harbin: Harbin Institute of Technology (in Chinese)

    Google Scholar 

  • Wei R, Chen J, Yang L (2009). A decision-making model for the location of emergency rescue facilities. Industrial Safety and Environmental Protection, 35(11): 50–52 (in Chinese)

    Google Scholar 

  • Wei X, Lv W, Song W (2013). Rescue route reselection model and algorithm for the unexpected accident. Procedia Engineering, 62: 532–537

    Article  Google Scholar 

  • Wuni I Y, Shen G Q, Hwang B G (2020). Risks of modular integrated construction: A review and future research directions. Frontiers of Engineering Management, 7(1): 63–80

    Article  Google Scholar 

  • Xie T (2014). Research on Risk Assessment and Management of Railway Construction Engineering. Dissertation for the Master’s Degree. Chengdu: Southwest Jiaotong University (in Chinese)

    Google Scholar 

  • Xie X (2010). Study on the scheduling problem of railway emergency materials. Technology & Economy in Areas of Communications, 12 (2): 52–55 (in Chinese)

    Google Scholar 

  • Xing X (2012). Research on Combined Evaluation Method of Railway Emergency Plan for Emergency. Dissertation for the Master’s Degree. Lanzhou: Lanzhou Jiaotong University (in Chinese)

    Google Scholar 

  • Xu J, Tang Z, Yuan X, Nie Y, Ma Z, Wei X, Zhang J (2018). A VR-based the emergency rescue training system of railway accident. Entertainment Computing, 27: 23–31

    Article  Google Scholar 

  • Yang B, Fang Z, Liu S, Guo B (2011). Optimal resources allocation model for emergency rescue process based on the GERT network. Chinese Journal of Management, 8(12): 1879–1883 (in Chinese)

    Google Scholar 

  • Yang J, Zhang W (2017). Research on robust optimal allocation of emergency resources in the Three Gorges Reservoir area. Journal of Chongqing Jiaotong University (Natural Science), 36(11): 71–77 (in Chinese)

    Google Scholar 

  • Zhang H (2008). Optimum design model of equipment supply chain network based on risk control. Journal of Ordnance Engineering College, 20(3): 11–14 (in Chinese)

    Google Scholar 

  • Zhang H (2013). Study on the Emergency Vehicle Distribution Rrouting Optimization Problem Which Is Based on the Real-Time Information. Dissertation for the Master’s Degree. Xi’an: Chang’an University (in Chinese)

    Google Scholar 

  • Zhang J, Liu H, Yu G, Ruan J, Chan F T S (2019). A three-stage and multi-objective stochastic programming model to improve the sustainable rescue ability by considering secondary disasters in emergency logistics. Computers & Industrial Engineering, 135: 1145–1154

    Article  Google Scholar 

  • Zhang M (2016). Study on Unconventional Emergency Scenario Reasoning Method the Case-Based. Dissertation for the Doctoral Degree. Wuhan: Huazhong University of Science and Technology (in Chinese)

    Google Scholar 

  • Zhang X (2010). Study of the dynamic risk-managing model for highspeed railway construction projects. Traffic Engineering and Technology for National Defence, 8(6): 42–44, 38 (in Chinese)

    Google Scholar 

  • Zhang Z (2014). Research on Construction of Emergency Scenarios and Dynamic Deduction Technology for Railway Emergencies. Dissertation for the Doctoral Degree. Lanzhou: Lanzhou Jiaotong University (in Chinese)

    Google Scholar 

  • Zhao L (2016). Research on Vehicle Routing Optimization Problem in Different Stages of Natural Disaster Emergency Rescue. Dissertation for the Master’s Degree. Beijing: Beijing Jiaotong University (in Chinese)

    Google Scholar 

  • Zheng Y (2018). Emergency train scheduling on Chinese high-speed railways. Transportation Science, 52(5): 1077–1091

    Article  Google Scholar 

  • Zheng Y, Zhang M, Ling H, Chen S (2015). Emergency railway transportation planning using a hyper-heuristic approach. IEEE Transactions on Intelligent Transportation Systems, 16(1): 321–329

    Article  Google Scholar 

  • Zhong S (2004). A framework of the state emergency S&T system. Forum on Science and Technology in China, (5): 33–36 (in Chinese)

  • Zhou Y (2016). Research on Risk Early Warning Management of Railway Engineering Construction Stage that Based on AHP. Dissertation for the Master’s Degree. Dalian: Dalian University of Technology (in Chinese)

    Google Scholar 

  • Zhu J, Liu S, Ghosh S (2019). Model and algorithm of routes planning for emergency relief distribution in disaster management with disaster information update. Journal of Combinatorial Optimization, 38(1): 208–223

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huijun Sun.

Additional information

This study was supported by the National Natural Science Foundation of China (Grant No. 71942006) and the Fundamental Research Funds for the Central Universities (2019RC053).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kang, L., Li, H., Li, C. et al. Risk warning technologies and emergency response mechanisms in Sichuan—Tibet Railway construction. Front. Eng. Manag. 8, 582–594 (2021). https://doi.org/10.1007/s42524-021-0151-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42524-021-0151-7

Keywords

Navigation