Skip to main content
Log in

Fire risk assessment of CBD in Binhai New Area of Tianjin

  • Published:
Transactions of Tianjin University Aims and scope Submit manuscript

Abstract

Central business district(CBD)construction is in rapid development phase at present, therefore, the firefighting work in CBD becomes an important issue for safety. In this paper, a fire risk assessment index system is established from the perspective of regional characteristics, possible sources and factors which influence the occurrence of fire. Analytic hierarchy process(AHP)is used to obtain the weights of different indexes so as to reflect their effects on the final fire risk assessment. Then, the fire risk of CBD in Binhai New Area of Tianjin is assessed with the help of the proposed model and ArcGIS technique. Finally, the fire station layout is optimized based on the discrete location model, realizing the reasonable allocation of firefighting resources. According to the analysis, super high-rise buildings and underground spaces are main factors that cause high fire risk; furthermore, five firstlevel fire stations can satisfy the requirement of rescue response time.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. Gao Junpeng, Xu Zhisheng, Liu Dingli et al. Application of the model based on fuzzy consistent matrix and AHP in the assessment of fire risk of subway tunnel[J]. Procedia Engineering, 2014, 71: 591–596.

    Article  Google Scholar 

  2. Larsson D. Developing the Structure of a Fire Risk Index Method for Timberframe Multi-Storey Apartment Buildings[R]. Department of Fire Safety Engineering, Lund University, Lund, Sweden, Report 5062, 2000.

    Google Scholar 

  3. Chen Juanjuan, Fang Zheng, Wang Junheng et al. Research on building fire risk assessment based on analytic hierarchy process(AHP)[C]. In: 2014 7th International Conference on Intelligent Computation Technology and Automation(ICICTA), IEEE. Changsha, China, 2014. 505–508.

    Google Scholar 

  4. Zhao Qiansheng, Huang Quanyi, Guo Jiming et al. Integrated risk assessment of hazardous chemical installations using GIS and AHP [C]. In: 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing(WiCOM), IEEE. Dalian, China, 2008.

    Google Scholar 

  5. Xu Jianying, Yang Mingyu. The design and production of map symbol database based on ArcGIS[J]. Advanced Materials Research, 2012, 378/379: 405–408.

    Google Scholar 

  6. Hu Xiao, Wu Qunqi, Chen Xue et al. Planning method of basic road netwok based on ArcGIS [J]. Journal of Traffic and Transportation Engineering, 2009, 9(9): 67–72.

    Google Scholar 

  7. Zhou Jun. Research on layout optimization method of urban fire station based on fire risk assessment[J]. Advanced Materials Research, 2014, 838–841: 2162–2169.

    Google Scholar 

  8. Yu Yanfei. Optimization for fire station location planning based on travel time of fire vehicles[C]. In: 2012 8th International Conference on Computational Intelligence and Security(CIS), IEEE. Guangzhou, China, 2012. 328–331.

    Chapter  Google Scholar 

  9. Deng Yi, Li Aiqin, Dou Wei. Urban fire station layout planning based on GIS[C]. In: International Conference on Earth Observation Data Processing and Analysis. International Society for Optics and Photonics. Wuhan, China, 2008, Vol. 7285.

    Google Scholar 

  10. Badri M A. A combined AHP-GP model for quality control systems[J]. International Journal of Production Economics, 2001, 72(72): 27–40.

    Article  Google Scholar 

  11. Saaty T L. A scaling method for priorities in hierarchical structures[J]. Journal of Mathematical Psychology, 1977, 15: 234–281.

    Article  MathSciNet  MATH  Google Scholar 

  12. Schniederjans M J, Wilson R L. Using the analytic hierarchy process and goal programming for the information system project selection [J]. Information and Management, 1991, 20(20): 333–342.

    Article  Google Scholar 

  13. Deng Xue, Li Jiaming, Zeng Haojian. Research on computation methods of AHP weight vector and its applications[J]. Mathematics in Practice and Theory, 2012, 42(42): 93–100(in Chinese).

    Google Scholar 

  14. Darzentas, J. A discrete location model with fuzzy accessibility measures[J]. Fuzzy Sets and Systems, 1987, 23(23): 149–154.

    Article  Google Scholar 

  15. Godinho P, Dias J. A two-player competitive discrete location model with simultaneous decisions[J]. European Journal of Operational Research, 2010, 207(207): 1419–1432.

    Article  MathSciNet  MATH  Google Scholar 

  16. Jiang Yuan, Wang Bing, Zhang Ting et al. Site selection of electricity office based on set covering model[J]. Electric Power, 2013, 46(46): 60–64(in Chinese).

    Google Scholar 

  17. Nepal B, Lassan G, Drow B et al. A set-covering model for optimizing selection of portfolio of microcontrollers in an automotive supplier company[J]. European Journal of Operational Research, 2009, 193(193): 272–281.

    Article  MATH  Google Scholar 

  18. Alexandris G, Giannikos I. A new model for maximal coverage exploiting GIS capabilities[J]. European Journal of Operational Research, 2010, 202(202): 328–338.

    Article  MATH  Google Scholar 

  19. Baray J, Cliquet G. Optimizing locations through a maximum covering/p-median hierarchical model: Maternity hospitals in France[J]. Journal of Business Research, 2013, 66(66): 127–132.

    Article  Google Scholar 

  20. The Ministry of Public Security of the People’s Republic of China. Standard on Construction of City Fire Station[S]. China Planning Press, Beijing, China, 2011(in Chinese).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fengying Yan  (闫凤英).

Additional information

Supported by the Key Program of National Natural Science Foundation of China(No. 51438009)and Tianjin Natural Science Foundation,(No. 13JCYBJC19700).

Yan Fengying, born in 1967, female, Dr, Prof.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, F., Zhang, Q. Fire risk assessment of CBD in Binhai New Area of Tianjin. Trans. Tianjin Univ. 21, 501–506 (2015). https://doi.org/10.1007/s12209-015-2629-z

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12209-015-2629-z

Keywords

Navigation