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Spatial memory enhances the evacuation efficiency of virtual pedestrians under poor visibility condition |
| Yi Ma(马毅)1,2, Eric Wai Ming Lee(李伟民)2, Meng Shi(施朦)2, Richard Kwok Kit Yuen(袁国杰)2 |
1 Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610207, China;
2 Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong, China |
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Abstract Spatial memory is a critical navigation support tool for disoriented evacuees during evacuation under adverse environmental conditions such as dark or smoky conditions. Owing to the complexity of memory, it is challenging to understand the effect of spatial memory on pedestrian evacuation quantitatively. In this study, we propose a simple method to quantitatively represent the evacuee's spatial memory about the emergency exit, model the evacuation of pedestrians under the guidance of the spatial memory, and investigate the effect of the evacuee's spatial memory on the evacuation from theoretical and physical perspectives. The result shows that (i) a good memory can significantly assist the evacuation of pedestrians under poor visibility conditions, and the evacuation can always succeed when the degree of the memory exceeds a threshold (φ>0.5); (ii) the effect of memory is superior to that of “follow-the-crowd” under the same environmental conditions; (iii) in the case of multiple exits, the difference in the degree of the memory between evacuees has a significant effect (the greater the difference, the faster the evacuation) for the evacuation under poor visibility conditions. Our study provides a new quantitative insight into the effect of spatial memory on crowd evacuation under poor visibility conditions.
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Received: 01 August 2017
Revised: 17 December 2017
Accepted manuscript online:
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PACS:
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89.65.Gh
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(Economics; econophysics, financial markets, business and management)
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89.40.-a
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(Transportation)
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07.05.Tp
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(Computer modeling and simulation)
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05.65.+b
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(Self-organized systems)
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| Fund: Project supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (Grant No. 11203615). |
Corresponding Authors:
Yi Ma
E-mail: yima23-c@my.cityu.edu.hk
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Cite this article:
Yi Ma(马毅), Eric Wai Ming Lee(李伟民), Meng Shi(施朦), Richard Kwok Kit Yuen(袁国杰) Spatial memory enhances the evacuation efficiency of virtual pedestrians under poor visibility condition 2018 Chin. Phys. B 27 038901
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| [1] |
Helbing D, Johansson A and Al-Abideen H Z 2007 Phys. Rev. E 75 046109
|
| [2] |
Zhang J, Song W and Xu X 2008 Physica A 387 5901
|
| [3] |
Saloma C, Perez G J, Tapang G, Lim M and Palmes-Saloma C 2003 Proc. Natl. Acad. Sci. USA 100 11947
|
| [4] |
Lin P, Ma J, Liu T, Ran T, Si Y and Li T 2016 Physica A 452 157
|
| [5] |
Garcimartín A, Pastor J M, Ferrer L M, Ramos J J, Martín-Gómez C and Zuriguel I 2015 Phys. Rev. E 91 022808
|
| [6] |
Pastor J M, Garcimartín A, Gago P L, Peralta J P, Martín-Gómez C, Ferrer L M, Maza D, Parisi D R, Pugnaloni L A and Zuriguel I 2015 Phys. Rev. E 92 062817
|
| [7] |
Garcimartín A, Parisi D R, Pastor J M, Martín-Gómez C and Zuriguel I 2016 J. Stat. Mech.-Theory Exp. 2016 043402
|
| [8] |
Peacock R D, Hoskins B L and Kuligowski E D 2012 Safety Sci. 50 1655
|
| [9] |
Helbing D and Molnar P 1995 Phys. Rev. E 51 4282
|
| [10] |
Helbing D, Farkas I and Vicsek T 2000 Nature 407 487
|
| [11] |
Burstedde C, Klauck K, Schadschneider A and Zittartz J 2001 Physica A 295 507
|
| [12] |
Kirchner A, Nishinari K and Schadschneider A 2003 Phys. Rev. E 67 056122
|
| [13] |
Muramatsu M, Irie T and Nagatani T 1999 Physica A 267 487
|
| [14] |
Kuang H, Li X, Song T and Dai S 2008 Phys. Rev. E 78 066117
|
| [15] |
Liu S B, Lo S M, Ma J and Wang W L 2014 IEEE Trans. Intell. Transp. Syst. 15 992
|
| [16] |
Huang H and Guo R 2008 Phys. Rev. E 78 021131
|
| [17] |
Yue H, Zhang B Y, Shao C F and Xing Y 2014 Chin. Phys. B 23 050512
|
| [18] |
Kuang H, Song T, Li X L and Dai S Q 2008 Chin. Phys. Lett. 25 1498
|
| [19] |
Wang L, Zheng J, Zhang X, Zhang J, Wang Q and Zhang Q 2016 Chin. Phys. B 25 685
|
| [20] |
Isobe M, Helbing D and Nagatani T 2004 Phys. Rev. E 69 066132
|
| [21] |
Nagai R, Nagatani T, Isobe M and Adachi T 2004 Physica A 343 712
|
| [22] |
Shi J, Ren A and Chen C 2009 Automat. Constr. 18 338
|
| [23] |
Guo R Y, Huang H J and Wong S C 2012 Transport. Res. Part B 46 669
|
| [24] |
Guo R Y and Huang H J 2012 Simulation 88 1138
|
| [25] |
Xia Y, Wong S C and Shu C W 2009 Phys. Rev. E 79 066113
|
| [26] |
Nguyen M H, Ho T V and Zucker J D 2013 Simul. Model. Pract. Th. 36 44
|
| [27] |
Ma P and Wang B 2013 Physica A 392 215
|
| [28] |
Yue H, Wang S, Jia X, Li J and Shao C 2016 Simulation 92 491
|
| [29] |
Hou L, Liu J G, Pan X and Wang B H 2014 Physica A 400 93
|
| [30] |
Cao S, Song W and Lv W 2016 Phys. Lett. A 380 540
|
| [31] |
Fang J, El-Tawil S and Aguirre B 2016 Safety Sci. 83
|
| [32] |
Low D J 2000 Nature 407 465
|
| [33] |
Zeng W, Chen P, Nakamura H and Iryo-Asano M 2014 Transport. Res. Part C 40 143
|
| [34] |
Zeng W, Chen P, Yu G and Wang Y 2017 Transport. Res. Part C 80 37
|
| [35] |
Wang L, Zheng J H, Zhang X S, Zhang J L, Wang Q Z and Zhang Q 2016 Chin. Phys. B 25 118901
|
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