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Transportation Letters

The International Journal of Transportation Research

Volume 16, 2024 - Issue 4

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Research Article

Crowd model calibration at strategic, tactical, and operational levels: Full-spectrum sensitivity analyses show bottleneck parameters are most critical, followed by exit-choice-changing parameters

Milad Haghania Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, The University of New South Wales (UNSW), Sydney, AustraliaCorrespondence[email protected]
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Majid Sarvib Department of Infrastructure Engineering, The University of Melbourne, Melbourne, AustraliaView further author information

Pages 354-381 | Received 11 May 2022, Accepted 22 Mar 2023, Published online: 28 Mar 2023

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https://doi.org/10.1080/19427867.2023.2195729
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Citations (4)

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Articles from other publishers (4)

Khashayar Kazemzadeh & Amir Pooyan Afghari. (2024) Wriggling in the crowd: An inquiry into the interactions between electric bikes and pedestrians in a shared space. Travel Behaviour and Society 36, pages 100781.
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Saeed Alqadhi, Javed Mallick, Hoang Thi Hang, Abdullah Faiz Saeed Al Asmari & Rina Kumari. (2023) Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia’s mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis. Environmental Science and Pollution Research 31:2, pages 3169-3194.
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Milad Haghani, Matt Coughlan, Ben Crabb, Anton Dierickx, Claudio Feliciani, Roderick van Gelder, Paul Geoerg, Nazli Hocaoglu, Steve Laws, Ruggiero Lovreglio, Zoe Miles, Alexandre Nicolas, William J. O'Toole, Syan Schaap, Travis Semmens, Zahra Shahhoseini, Ramon Spaaij, Andrew Tatrai, John Webster & Alan Wilson. (2023) A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target. Safety Science 168, pages 106292.
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Claudio Feliciani, Xiaolu Jia, Hisashi Murakami, Kazumichi Ohtsuka, Giuseppe Vizzari & Katsuhiro Nishinari. (2023) Social groups in pedestrian crowds as physical and cognitive entities: Extent of modeling and motion prediction. Transportation Research Part A: Policy and Practice 176, pages 103820.
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