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A Study on Behaviour of Pedestrians to Improve the Riding Quality and Comfortability Through Metro Rail System: A Review

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Smart Technologies for Energy, Environment and Sustainable Development, Vol 1

Part of the book series: Springer Proceedings in Energy ((SPE))

Abstract

Increased pedestrian volume in metro railway stations is enveloping unnecessary results like loss in the comfortability of the service, increased passenger density inside train car units, etc. Especially in developing countries like India, urban commuters use the facility on a daily basis. Compared to the surface mode of transport, metro railway system have less turbulence in movement from other modes of transport along its alignment-enabling it to be relatively fastest mode of transport. As metro rail system is economic in many aspects urban commuters pool at metro stations in metropolitan cities for their purpose of travel. Pooling at massive rates also distracts a few of the using population from the metro railway system, because of discomfort that may arrive in the process of travelling. In this study, an attempt is made to consolidate pedestrian characteristics and practices that are found to be beneficial by different metro stations around the world, that offer great amount of ridership with comfortability to passenger.

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References

  1. P.N. Agency, Phillipine Canadian Inquirer (2011, August 02). Retrieved February 2020, from https://www.canadianinquirer.net/2014/05/06/articulated-bus-to-help-decongest-edsa-starting-wednesday-ltfrb/

  2. S.A. AI-Gadhi, A review study of crowd behavior and movement. Eng. Sci. 8, 77–107 (1995). Retrieved February 2020

    Google Scholar 

  3. BB. Brown, Walkable route perceptions and physical features: converging evidence for en route walking experiences. Environ. Behav. 39, 34–61 (2007). https://doi.org/10.1177/0013916506295569

  4. C.L. Baobao Zou, Effect of pedestrian judgement on evacuation efficiency considering. Physica A, 17 (2013, August). https://doi.org/10.1016/j.physa.2019.122943.

  5. C.L. Baobao Zou, Effect of pedestrian judgement on evacuation efficiency considering hestitation. Physica A (2019). https://doi.org/10.1016/j.physa.2019.122943

    Article  Google Scholar 

  6. B. Steffen, A. Seyfried, Modeling of pedestrian movement around 90 and 180 degree bends (2009). arXiv preprint arXiv:0912.0610

  7. C.Y. Chang, T.H. Woo, S.-F. Wang, Analysis of pedestrian walking speeds at crosswalks in Taiwan. J. East. Asia Soc. Transp. Stud. 9, 1186–1200. Released October 31, 2011, Online ISSN 1881-1124 (2011). https://doi.org/10.11175/easts.9.1186

  8. D.R. Parisi, C.O. Dorso, Microscopic dynamics of pedestrian evacuation. Physica A 354(1–4), 606–618. https://doi.org/10.1016/j.physa.2005.02.040

  9. D. Muley , W. Alhajyaseen, M. Kharbeche, M. Al-Salem, Pedestrians’ speed analysis at signalized crosswalks. Procedia Comput. Sci. 130, 567– 574 (2018). https://doi.org/10.1016/j.procs.2018.04.102

  10. W.A.-S. Deepti Muleya, Pedestrians’ speed analysis at signalized crosswalks. Proc. Comp. Sci. 130, 567–574 (2018). https://doi.org/10.1016/j.procs.2018.04.102

  11. N.B. Dietmar Bauer, Measurement of pedestrian movements: a comparative study on various existing systems. Emerald Insight, 325–344 (2016). https://doi.org/10.1108/9781848557512-015

  12. I. Farid, B.O. Kandil, Female vs. male Ampelmännchen-gender-specific reaction times to male and female traffic light figures. Front. Psychol. 8, 1–9 (2017, May 23). https://doi.org/10.3389/fpsyg.2017.00690

  13. X.H. Fasheng Qiu, Modeling group structures in pedestrian crowd simulation. Simul. Model. Pract. Theory 18, 190–2005 (2009). https://doi.org/10.1016/j.simpat.2009.10.005

    Article  Google Scholar 

  14. S.S. Fujiyama, Experimental study for estimating the passenger space at metro stations with platform edge doors. Transport. Res. Rec. 9 (2018). https://doi.org/10.1177/03611981187820

  15. U.D. Gavin McArdle, Interpreting pedestrian behaviour by visualising and clustering movement data (2016)

    Google Scholar 

  16. L.F. Henderson, The Statistics of Crowd Fluids 229(5284), 381–383 (1971). https://doi.org/10.1038/229381a0

  17. J.B. Hendrik Vermuyten, A review of optimisation models for pedestrian evacuation and design problems. Saft. Sci. 87, 167–178 (2016). https://doi.org/10.1016/j.ssci.2016.04.001

    Article  Google Scholar 

  18. Hindustan Times (1996, August 08). Retrieved February 2020, from https://www.hindustantimes.com/gurgaon/government-nod-to-extension-of-metro-line-up-to-udyog-vihar-with-25-new-stations/story-BI56DjGLFsDfhpXF33uALP.html

  19. I. Zuriguel, D.R. Parisi, R.C. Hidalgo, C. Lozano, A. Janda, Clogging transition of many-particle systems flowing through bottlenecks. Sci. Rep. 4(7324) (2014). https://doi.org/10.1038/srep07324

  20. X.C. Jia Liua, Simulation of passenger motion in metro stations during rush hours based on video analysis. Autom. Const. 107 (2019). https://doi.org/10.1016/j.autcon.2019.102938

  21. G. Dell’Asin, J. Hool, Pedestrian patterns at railway platforms during boarding: evidence from a case study in Switzerland. Hindawi, J. Adv. Transport. 11 2018. https://doi.org/10.1155/2018/4079230

  22. J.L. Kefan Xie, Escape behavior in factory workshop fire emergencies: a multi-agent simulation. Inf. Technol. Manag. 15, 141–149 (2014). https://doi.org/10.1007/s10799-014-0185-1

    Article  Google Scholar 

  23. A. Martin, Factors Influencing Pedestrian Saftey: A Literature Review (TRL Limited, London, 2006). Retrieved February 2020

    Google Scholar 

  24. V. Media, Delhi Metro Rail System, India (Railway Technology, 1997). Retrieved February 2020, from https://www.railway-technology.com/projects/delhi-metro/

  25. V. Mehta, Walkable streets: pedestrian behaviour, perceptions and attitudes. J. Urbanal. Int. Res. Placemaking Urban Sustainability, 217–245 (2008). https://doi.org/10.1080/17549170802529480

  26. H.O. Park, Main factor causing “faster-isslower” phenomenon during evacuation: rodent experiment and simulation. Sci. Rep. 1–14 (2017). https://doi.org/10.1038/s41598-017-14007-6

  27. Pedestrian Characteristics, In Federal Highway Administration University Course on Bicycle and Pedestrian Transportation (pp. 1–22) (2006). Georgetown Pike: Federal Highway Administration. Retrieved Feburary 2020, from https://www.fhwa.dot.gov/publications/research/safety/pedbike/05085/chapt8.cfm

  28. C.D. Phil Fouracre, Mass rapid transit systems for cities in changing world. Trans. Rev. A Transnat. Transdisciplinary J., 299–310 (2003). https://doi.org/10.1080/0144164032000083095

  29. M.B. Robin, Pedestrian Behaviour Models, Data Collection and Applications (Emerald, Eindhoven, 2009). Retrieved January 2020

    Google Scholar 

  30. Yi. Shuai, Li. Hongsheng, Li, X. Wang, Pedestrian travel time estimation in crowded scenes. Int. Conf. Comp. Vision. 3137–3145 (2015). Retrieved February 2020, from {syi,hsli,xgwang}@ee.cuhk.edu.hk

    Google Scholar 

  31. F. Thomas, J.B. Fugger, Analysis of pedestrian gait and perception–reaction at signal-controlled crosswalk intersections. Transport. Res. Rec. 1705, 20–25 (2000). https://doi.org/10.3141/1705-04

  32. T.-Q. Tang, Y.-X. Shao, L. Chen, H.-Y. Shang, Modeling passengers’ boarding behavior at the platform of high speed railway station. HIndawi, J. Transport. Eng. 2017, 11 (2017). https://doi.org/10.1155/2017/4073583

  33. T. Rosenbloom, A. Ben-Eliyahu, D. Nemrodov, Children’s crossing behavior with an accompanying adult. Saft. Sci. 46, 1248–1254 (2008). 10.1016/j.ssci.2007.07.004. https://doi.org/10.1016/j.ssci.2007.07.004

  34. B. Transportation, Bombardier Movia Metro (1995). Retrieved February 2020, from bombardier.com/content/dam/Websites/bombardiercom/Projects/supporting-documents/BT-MOVIA-Metro_Delhi.pdf

    Google Scholar 

  35. W. Shen, W. Xiao, X. Wang, Passenger satisfaction evaluation model for Urban rail transit: a structural equation modeling based on partial least squares. Transp. Policy 46, 20–36 (2016). https://doi.org/10.1016/j.tranpol.2015.10.006

  36. X.-Y. Xua, J. Liu, H.-Y. Lia, J. Man, Capacity-oriented passenger flow control under uncertain demand: algorithm development and real-world case study. Transport. Res. Part E, 87, 130–148 (2016). https://doi.org/10.1016/j.tre.2016.01.004

  37. XU, X.-b. D.-f. (2010). Simulating crowd movements using fine grid cellular automata. Int. Conf. Comp. Modell. Simulat. https://doi.org/10.1109/UKSIM.2010.85

  38. Y. Qu, Y. Xiao, H. Liu, H. Yin, J. Wu, Q. Qu, D. Li, T. Tang, Analyzing crowd dynamic characteristics of boarding and alighting process in urban metro stations. Physica A 526, 121075 (2019). https://doi.org/10.1016/j.physa.2019.121075

  39. Y. Zheng, [American Society of Civil Engineers Second Transportation & Development Congress 2014 - Orlando, Florida (June 8-11, 2014)] T&DI Congress 2014 - Analysis of Factors Influencing Pedestrian Injury Severity in Pedestrian-Vehicle Crashes, 448–457 (2014). https://doi.org/10.1061/9780784413586.043

  40. W.H. Lin, C. Wang, An enhanced 0-1 mixed-integer LP formulation for traffic signal control. IEEE Trans. Intell. Transp. Syst. 5(4), 238–245 (Dec. 2004). https://doi.org/10.1109/TITS.2004.838217

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Authors and Affiliations

  1. Department of Civil Engineering, GMR Institute of Technology, Rajam, 532127, India

    Vamsi Kommanamanchi, Jyoti Prakash Giri & Koorma Rajendra Babu

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  1. Vamsi Kommanamanchi
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  2. Jyoti Prakash Giri
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  3. Koorma Rajendra Babu
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Editors and Affiliations

  1. Faculty of Engineering & Science, University of Agder, Grimstad, Norway

    Mohan Lal Kolhe

  2. Department of Mechanical Engineering, G.H. Raisoni College of Engineering, Nagpur, Maharashtra, India

    S. B. Jaju

  3. Department of Electrical Engineering, G.H. Raisoni College of Engineering, Nagpur, Maharashtra, India

    P. M. Diagavane

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Kommanamanchi, V., Prakash Giri, J., Rajendra Babu, K. (2022). A Study on Behaviour of Pedestrians to Improve the Riding Quality and Comfortability Through Metro Rail System: A Review. In: Kolhe, M.L., Jaju, S.B., Diagavane, P.M. (eds) Smart Technologies for Energy, Environment and Sustainable Development, Vol 1. Springer Proceedings in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-16-6875-3_23

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  • DOI: https://doi.org/10.1007/978-981-16-6875-3_23

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