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Pedestrian flow characteristics for different pedestrian facilities and situations

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  • Rastogi, R.
  • Ilango, T.
  • Chandra, S.

Abstract

The pedestrian walking data collected at nineteen locations in five cities of India are analyzed in this paper. Pedestrian facilities are classified based on their width as sidewalk, wide-sidewalk and precincts. The analysis indicates that the pedestrian free flow speed is high on sidewalks (1.576 m/s) and low on precincts (1.340 m/s). The increase in width of the facility resulted in increased space available to a pedestrian, but reduced maximum flow rate and optimum density. It is found that the relationship between speed and density follows Underwood (exponential) model on sidewalk of varying widths and Greenshield’s (linear) model on a non-exclusive facility. Bi-directional flow on a facility affects the free flow speed and space available to the pedestrian adversely at high density. Squeezing effect at the centre and follow the predecessor near sides is observed under heavy bidirectional flow. The presence of a bottleneck reduces the free flow speed and maximum flow substantially. Pedestrians moved in layers at high density. Maximum flow rate is observed to be higher on the carriageway (2.067 ped/s) as compared to an exclusive pedestrian facility (1.493 ped/s).

Suggested Citation

  • Rastogi, R. & Ilango, T. & Chandra, S., 2013. "Pedestrian flow characteristics for different pedestrian facilities and situations," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 53, pages 1-5.
    • Handle: RePEc:sot:journl:y:2013:i:53:p:5
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    File URL: http://hdl.handle.net/10077/8692
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    References listed on IDEAS

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    1. Huang, Ling & Wong, S.C. & Zhang, Mengping & Shu, Chi-Wang & Lam, William H.K., 2009. "Revisiting Hughes' dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 127-141, January.
    2. Armin Seyfried & Oliver Passon & Bernhard Steffen & Maik Boltes & Tobias Rupprecht & Wolfram Klingsch, 2009. "New Insights into Pedestrian Flow Through Bottlenecks," Transportation Science, INFORMS, vol. 43(3), pages 395-406, August.
    3. Hughes, Roger L., 2002. "A continuum theory for the flow of pedestrians," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 507-535, July.
    4. Tajima, Yusuke & Takimoto, Kouhei & Nagatani, Takashi, 2001. "Scaling of pedestrian channel flow with a bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 294(1), pages 257-268.
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    Cited by:

    1. Banerjee, Arunabha & Das, Sanhita & Maurya, Akhilesh Kumar, 2024. "Behavioural characteristics influencing walking speed of pedestrians over elevated facilities: A case study of India," Transport Policy, Elsevier, vol. 147(C), pages 169-182.
    2. Nikolić, Marija & Bierlaire, Michel & Farooq, Bilal & de Lapparent, Matthieu, 2016. "Probabilistic speed–density relationship for pedestrian traffic," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 58-81.
    3. Gao, Yuxing & Zhuang, Yifan & Dong, Fangshu & Peng, Fei & Zhang, Ping & Yang, Lizhong & Ni, Yong, 2020. "Experimental study on the effect of trolley case on unidirectional pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    4. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
    5. Francesco Pinna & Roberto Murrau, 2018. "Age Factor and Pedestrian Speed on Sidewalks," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
    6. Marija Nikolić & Michel Bierlaire & Matthieu de Lapparent & Riccardo Scarinci, 2019. "Multiclass Speed-Density Relationship for Pedestrian Traffic," Transportation Science, INFORMS, vol. 53(3), pages 642-664, May.

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