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Assessing Pedestrian Behavioral Pattern at Rail Transit Terminal: State of the Art

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InCIEC 2014

Abstract

An Increasing amount of literature is devoted to discuss about the pedestrian movement pattern in indoor or outdoor environment. A better understanding of human behavior is the key to plan and manage the pedestrian flow especially in a transit terminal. Pedestrians visiting a public space have different motivations and therefore may behave differently. In order to determine the pedestrian behavior, some parameters should be measured such as walking speed, spatial use and person counts. The planners have generated a need to understand the pedestrian movement which behavior could be represented in collective form. A comprehensive review of the existing method in looking at the influencing parameters of the pedestrian behavior to the routes choice and pedestrians flow in relation to the level of service (LOS) and interaction of pedestrian in rail transit terminal is still lacking. Therefore, this paper aims to review the pedestrian movement characteristic in a rail transit terminal. Considering the differences of space requirements among different types of pedestrians and owing to the diverse characteristics of their stature, behavior and surroundings, immediate action on planning the rail based infrastructure is needed.

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References

  1. K. Kayama, I.E. Yairi, S. Igi, Semi-autonomous outdoor mobility support system for elderly and disabled people, in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), vol 3, pp. 2606–2611

    Google Scholar 

  2. K. Gwilliam, Cities on the move—ten years after. Res. Transp. Econ. 40(1), 3–18 (2013)

    Google Scholar 

  3. K. Teknomo, Microscopic pedestrian flow characteristics: development of an image processing data collection and simulation model, Graduate School of Information Sciences, Tohoku University, Japan, 2002

    Google Scholar 

  4. S. Seer, D. Bauer, N. Brandle, M. Ray, Estimating pedestrian movement characteristics for crowd control at public transport facilities, in 11th International IEEE Conference on Intelligent Transportation Systems (2008), pp. 742–747

    Google Scholar 

  5. A. Millonig, G. Maierbrugger, Identifying unusual pedestrian movement behaviour in public transport infrastructures. Workshop on movement pattern analysis (2010)

    Google Scholar 

  6. Y. Yamashita, N. Hibino, H. Uchiyama, A behavioral analysis of passengers’ railway station facilities visiting characteristics. J. Eastern Asia Soc. Transp. Stud. 7 (2007)

    Google Scholar 

  7. J. Ueno, A. Nakazawa, T. Kishimoto, An analysis of pedestrian movement in multilevel complex by space syntax theory—In the case of Shibuya station, in 7th International Space Syntax Symposium (2009)

    Google Scholar 

  8. R. Galiza, L. Ferreira, A methodology for determining equivalent factors in heterogeneous pedestrian flows. Comput. Environ. Urban Syst. 39, 162–171 (2013)

    Google Scholar 

  9. C.S. Jianga, Y.F. Deng, C. Hu, H. Ding, W.K. Chow, Crowding in platform staircases of a subway station in China during rush hours. Saf Sci 47, 931–938 (2009)

    Google Scholar 

  10. L.I. Yi-fan, C. Jun-min, J.I. Jie, Z. Ying, S.U.N. Jin-hua, Analysis of crowded degree of emergency evacuation at “Bottleneck” position in subway station based on stairway level of service. Procedia Eng. 11, 242–251 (2011)

    Google Scholar 

  11. M. Bertucco, P. Cesari, Dimensional analysis and ground reaction forces for stair climbing: effects of age and task difficult. Gait Posture 29, 326–331 (2009)

    Google Scholar 

  12. J. Shah, G.J. Joshi, P. Parida, Behavioral characteristics of pedestrian flow on stairway at railway station. Procedia—Soc. Behav. Sci. 104, 688–697 (2013)

    Google Scholar 

  13. X. Hu, W. Wang, W. Wang, H. Zheng, A novel approach for crowd video monitoring of subway platforms. Optik—Int. J. Light Electron Opt. 124(22), 5301–5306 (2013)

    Article  Google Scholar 

  14. R.J. Galiza, I. Kim, L. Ferreira, J. Laufer, Modelling pedestrian circulation in rail transit stations using micro-simulation, in Proceedings of the 32nd Australasian Transport Research Forum (ATRF), 2009

    Google Scholar 

  15. H. Jia, L. Yang, M. Tang, Pedestrian flow characteristics analysis and model parameter calibration in comprehensive transport terminal. J. Transp. Syst. Eng. Inf. Technol. 9(5), 117–123 (2009)

    Google Scholar 

  16. B.H. Goh, K. Subramaniam, Y.T. Wai, A.A. Mohamed, Pedestrian crossing speed: the case of Malaysia. Int. J. Traffic Transp. Eng. 2(4), 323–332 (2012)

    Google Scholar 

  17. R. Rastogi, I. Thaniarasu, S. Chandra, Design implications of walking speed for pedestrian facilities. J. Transp. Eng. 137(10), 687–696 (2011)

    Article  Google Scholar 

  18. R.L. Knoblauch, M.T. Pietrucha, M. Nitzburg, Field studies of pedestrian walking speed and start-up time. Transp. Res. Rec. 1538, 27–38 (1996)

    Article  Google Scholar 

  19. D. Helbing, P. Molnár, Social force model for pedestrian dynamics. Phys. Rev. E 51(5), 4282–4286 (1995)

    Google Scholar 

  20. M.C. Campanella, S.P. Hoogendoorn, W. Daamen, A methodology to calibrate pedestrian walker models using multiple-objectives, in Pedestrian and Evacuation Dynamics, ed. by R.D. Peacock, E.D. Kuligowski, J.D. Averill (Springer, USA, 2011), pp. 755–759

    Chapter  Google Scholar 

  21. L. Yao, L. Sun, Z. Zhang, S. Wang, J. Rong, Research on the behavior characteristics of pedestrian crowd weaving flow in transport terminal. Math. Probl. Eng. (2012)

    Google Scholar 

  22. H. Cheng, X. Yang, Emergency evacuation capacity of subway stations. Procedia—Soc. Behav. Sci. 43, 339–348 (2012)

    Google Scholar 

  23. D. Helbing, A. Johansson, Pedestrian, crowd and evacuation dynamics. Encyclopedia of complexity and systems science. Encycl. Complex. Syst. Sci. 16, 6476–6495 (2010)

    Google Scholar 

  24. W. Lei, A. Li, R. Gao, X. Hao, B. DengLei, Simulation of pedestrian crowds’ evacuation in a huge transit terminal subway station. Physica A 391(22), 5355–5365 (2012)

    Article  Google Scholar 

  25. E.-W. Augustijn-Beckers, J. Flacke, B. Retsios, Investigating the effect of different pre-evacuation behavior and exit choice strategies using agent-based modeling. Procedia Eng. 3, 23–35 (2010)

    Google Scholar 

  26. S. Sahaleh, M. Bierlaire, B. Farooq, A. Danalet, F. Hänseler, Scenario analysis of pedestrian flow in public spaces, in 12th Swiss Transport Research Conference (STRC), 2012, Monte Verità, Ascona, Switzerland

    Google Scholar 

  27. A. Conca, M.G. Vignolo, Pedestrian flow analysis in emergency evacuation, in 15th Edition of the Euro Working Group on Transportation International Scientific Conference (2012)

    Google Scholar 

  28. R.M. Colombo, P. Goatin, M.D. Rosini, A Macroscopic Model for Pedestrian Flows In Panic Situations. GAKUTO International Series Mathematical Sciences and Applications (2010), pp. 43–60

    Google Scholar 

  29. Z. Zainuddin, K. Thinakaran, I.M. Abu-Sulyman, Simulating the circumambulation of the Ka’aba using SimWalk. Eur. J. Sci. Res. 38, 454–464 (2009)

    Google Scholar 

  30. Q. Zhang, B. Han, D. Li, Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations. Transp. Res. Part C: Emerg. Technol. 16(5), 635–649 (2008)

    Article  Google Scholar 

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Acknowledgments

This study is funded by Research Management Institute (RMI), Universiti Teknologi MARA (UiTM) under the Research Acculturation Grant Scheme (RAGS).

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Correspondence to Masria Mustafa .

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Mustafa, M., Ashaari, Y. (2015). Assessing Pedestrian Behavioral Pattern at Rail Transit Terminal: State of the Art. In: Hassan, R., Yusoff, M., Alisibramulisi, A., Mohd Amin, N., Ismail, Z. (eds) InCIEC 2014. Springer, Singapore. https://doi.org/10.1007/978-981-287-290-6_110

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  • DOI: https://doi.org/10.1007/978-981-287-290-6_110

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  • Print ISBN: 978-981-287-289-0

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