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access icon free Understanding evacuation and impact of a metro collision on ridership using large-scale mobile phone data

As randomly occurring events, traffic accidents pose serious challenges to the collection of comprehensive data to understand how travellers respond to them and to quantify their impacts. The advent of mobile phones, with their wide spatial/temporal coverage and ubiquitous presence in metro areas, offers a new source of data to conduct such studies. In this study, the collision accident of Metro Line 10 in Shanghai, China on 27 September 2011 is carefully investigated based on data derived from anonymous mobile phone records. The evacuation process of the accident is studied, followed by an analysis of the impact of this accident on commuting in the city. After analysing 7 billion of mobile phone records for an 11-day period, the authors find that the evacuation follows a two-stage pattern. They then identify the commuters of Line 10 and study their commuting patterns in the day of accident and also in the subsequent days. They find that most of Line 10 commuters still preferred to use metro to complete their travels during the disruption period of Line 10, and returned to their typical commuting patterns immediately after Line 10 resumed service.

References

    1. 1)
      • 11. Shanghai City Comprehensive Transportation Planning Institute: ‘Shanghai comprehensive transportation annual report’ (Shanghai Urban Construction and Communications Commission, Shanghai, China, 2011), p. 3.
    2. 2)
      • 29. Shanghai Transportation Administration Bureau: ‘The report of Shanghai public transport passenger survey’ (Shanghai Transportation Administration Bureau, 2011).
    3. 3)
      • 3. Li, W., Tang, Z.: ‘Analysis on metro operation accidents and study on their countermeasures’, China Saf. Sci. J., 2004, 14, (6), pp. 105108.
    4. 4)
      • 21. Farrahi, K., Gatica-Perez, D.: ‘Discovering human routines from cell phone data with topic models’. 12th IEEE Int. Symp. Wearable Computers, Pittsburgh, PA, USA, 2008.
    5. 5)
      • 19. Iqbal, M.S., Choudhury, C.F., Wang, P., et al: ‘Development of origin–destination matrices using mobile phone call data’, Transp. Res. C, Emerg. Technol., 2014, 40, pp. 6374.
    6. 6)
      • 15. Ge, X., Wei, D., Jin, H.: ‘Study on the social psychology and behaviors in a subway evacuation drill in China’, Procedia Eng., 2011, 11, pp. 112119.
    7. 7)
      • 23. Schneider, C.M., Belik, V., Couronné, T., et al: ‘Unravelling daily human mobility motifs’, J. R. Soc. Interface, 2013, 10, (84), pp. 18.
    8. 8)
      • 18. Duan, Z., Liu, L., Wang, S.: ‘MobilePulse: dynamic profiling of land use pattern and OD matrix estimation from 10 million individual cell phone records in Shanghai’. 19th Int. Conf. GeoInformatics, Shanghai, China, 2011.
    9. 9)
      • 10. Mobile phone ownership of China reached 64.4 per hundred people and Shanghai was at the top of the list’. Available at http://tech.163.com/11/0212/03/6SLNFID8000915BE.html, accessed 25 October 2015.
    10. 10)
      • 34. Nearly 20,000 passengers have been transported by 100 shuttle buses’. Available at http://shanghai.xinmin.cn/msrx/2011/09/28/12223695.html, accessed 3 June 2015.
    11. 11)
      • 22. Tian, H., Ma, X., Wang, H., et al: ‘A novel approach to estimate human space–time path based on mobile phone call records’. 18th Int. Conf. Geoinformatics, Beijing, China, 2010.
    12. 12)
      • 30. The daily ridership of Shanghai metro has been over 7 million for the first time in this year’. Available at http://www.chinanews.com/df/2011/10-01/3367121.shtml, accessed 3 June 2015.
    13. 13)
      • 17. White, J., Wells, I.: ‘Extracting origin destination information from mobile phone data’. 11th Int. Conf. Road Transport Information and Control, London, UK, 2002.
    14. 14)
      • 16. Yoon, S.H., Lee, M.J., Yee, J.J.: ‘An experimental study on evacuation times in a subway station using evacuation parameters’, J. Asian Archit. Build. Eng., 2013, 12, (1), pp. 93100.
    15. 15)
      • 28. Lu, X., Bengtsson, L., Holme, P.: ‘Predictability of population displacement after the 2010 Haiti Earthquake’, Proc. Natl. Acad. Sci. USA, 2012, 109, (29), pp. 1157611581.
    16. 16)
      • 20. Asakura, Y., Hato, E.: ‘Tracking survey for individual travel behaviour using mobile communication instruments’, Transp. Res. C, Emerg. Technol., 2004, 12, (3), pp. 273291.
    17. 17)
      • 2. Urban rail transit statistical annual report 2014’. Available at http://www.camet.org.cn/sjtj/201505/W020150513542107926916.pdf, accessed 3 June 2015.
    18. 18)
      • 27. Wang, S.: ‘Identifying the service using cellular probe data’. Master thesis, Tongji University, China, 2011.
    19. 19)
      • 25. Calabrese, F., Colonna, M., Lovisolo, P., et al: ‘Real-time urban monitoring using cell phones: a case study in Rome’, IEEE Trans. Intell. Transp. Syst., 2011, 12, (1), pp. 141151.
    20. 20)
      • 7. Mitleton-Kelly, E., Deschenaux, I., Maag, C., et al: ‘Enhancing crowd evacuation and traffic management through AmI technologies: a review of the literature’, in Mitleton-Kelly, E. (ED.): ‘Co-evolution of intelligent socio-technical systems’ (Springer, Berlin Heidelberg, 2013), pp. 1941.
    21. 21)
      • 26. Jia, F., Cheng, X., Duan, Z.: ‘Analyzing the activity areas of non-resident tourists of shanghai expo using cellular phone data’, Procedia Soc. Behav. Sci., 2013, 96, pp. 11361145.
    22. 22)
      • 13. He, L., Zhong, M., Shi, C., et al: ‘Investigation on evacuation behavior of passengers in metro emergency’, J. Saf. Sci. Technol., 2009, 5, (1), pp. 5358.
    23. 23)
      • 31. Records of news conference for the accident of metro line 10 on 27 September in 2011’. Available at http://www.shzgh.org/shxwb/xwfb/node169/node265/userobject1ai9048.html, accessed 3 June 2015.
    24. 24)
      • 24. Calabrese, F., Ratti, C.: ‘Real time Rome’, Netw. Commun. Stud., 2006, 20, (3–4), pp. 247258.
    25. 25)
      • 32. The investigation result of 27 September accident’. Available at http://sup.shqp.gov.cn/gb/content/2011-10/09/content_435431.htm, accessed 3 June 2015.
    26. 26)
      • 14. He, L., Zhong, M., Shi, C., et al: ‘Experimental research on investigation of metro passenger evacuation behaviors in case of emergency’. Fifth Int. Conf. Pedestrian and Evacuation Dynamics, Gaithersburg, MD, USA, 2010.
    27. 27)
      • 1. Shanghai comprehensive transportation annual report 2014 has been issued and the urban traffic congestion is predicted to be more severe in this year’. Available at http://www.shanghai.gov.cn/shanghai/node2314/node2315/node4411/u21ai972004.html, accessed 1 June 2015.
    28. 28)
      • 9. Li, W., Cheng, X., Duan, Z., et al: ‘A framework for spatial interaction analysis based on large-scale mobile phone data’, Comput. Intell. Neurosci., 2014, 21, pp. 111.
    29. 29)
      • 33. The rear-end collision of metro in Shanghai in 2011’. Available at http://zh.wikipedia.org/w/index.php?title=2011%E5%B9%B4%E4%B8%8A%E6%B5%B7%E5%9C%B0%E9%90%B5%E8%BF%BD%E5%B0%BE%E4%BA%8B%E6%95%85&oldid=35855397, accessed 3 June 2015.
    30. 30)
      • 4. Li, Y.: ‘The research of metro emergency management: a case study of Guangzhou’. Master thesis, Guangzhou University, China, 2012.
    31. 31)
      • 6. He, X.: ‘Modeling the traffic flow evolution process after a network disruption’. PhD thesis, University of Minnesota, USA, 2010.
    32. 32)
      • 5. Cheng, H., Yang, X.: ‘Emergency evacuation capacity of subway stations’, Procedia Soc. Behav. Sci., 2012, 43, pp. 339348.
    33. 33)
      • 12. Wang, C.: ‘Study on safety evacuation during the fire of a subway station’. Master thesis, Beijing Jiao Tong University, China, 2007.
    34. 34)
      • 8. Li, W., Cheng, X., Duan, Z., et al: ‘An approach for rail transit ridership analysis based on large-scale mobile phone data’. 21st ITS World Congress Conf. Proc., Detroit, MI, USA, 2014.
    35. 35)
      • 35. Shanghai City Comprehensive Transportation Planning Institute: ‘The fourth comprehensive transportation survey report of Shanghai’ (Shanghai Urban Construction and Communications Commission, Shanghai, China, 2010).
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