Investigating the influence of route turning angle on compliance behaviors and evacuation performance in a virtual-reality-based experiment

Abstract Route turning is one of the most essential and ubiquitous physical features in the complex building environment. Under the influence of route turning, evacuees’ approaching perspective to an emergency sign could vary, affecting their information perception and behavioral compliance during the evacuation. Although conventional simulation methods assess the effectiveness of the emergency sign in the visible region, they fail to consider evacuees’ wayfinding behaviors and interaction with the emergency sign. It remains unclear whether the route turning angle affects evacuees’ compliance for detecting and responding to the emergency sign. To investigate such an influence, a virtual-reality-based method for assessing human evacuation behaviors in building fire evacuations was proposed. In this study, two evacuation routes with different turning angles in a shopping mall were created and implemented in a virtual-reality environment, and 67 subjects participated in the immersive virtual-reality-based experiment. All participants took the two routes to find the nearest exit for evacuation in a fire event, aiming to evaluate the effect of the route turning angle on the evacuation process. The participants were asked to complete a questionnaire at the end of the experiment. Next, statistical analyses were conducted on evacuation results, information perception, and evacuation performance of the participants. The results indicated the route turning angle significantly affected participants' behavioral compliance with emergency signs. The results also suggested the route turning angle was influential on participants’ information perception and evacuation performance. Besides, a significant effect on rotation change, wayfinding pause, and speed deviation were observed. This study validates the effectiveness of investigating evacuees’ interaction with emergency signs using virtual-reality technology and has potential implications for complex building path planning and evacuation simulation modeling.

[1]  Qingsheng Wang,et al.  An experimental study of visibility effect on evacuation speed on stairs , 2018 .

[2]  Ghang Lee,et al.  An automated direction setting algorithm for a smart exit sign , 2015 .

[3]  Oswaldo Baffa,et al.  Shannon entropy applied to the analysis of event-related fMRI time series , 2003, NeuroImage.

[4]  Jing Lin,et al.  Do people follow the crowd in building emergency evacuation? A cross-cultural immersive virtual reality-based study , 2020, Adv. Eng. Informatics.

[5]  Yong Qin,et al.  Optimal Number and Location Planning of Evacuation Signage in Public Space , 2017 .

[6]  Bala Ram,et al.  Two-phase evacuation route planning approach using combined path networks for buildings and roads , 2013, Comput. Ind. Eng..

[7]  G. Domes,et al.  Same same but different? Replicating the real surroundings in a virtual trier social stress test (TSST-VR) does not enhance presence or the psychophysiological stress response , 2019, Physiology & Behavior.

[8]  Marco D’Orazio,et al.  Fire exit signs: The use of neurological activity analysis for quantitative evaluations on their perceptiveness in a virtual environment , 2016 .

[9]  Christoph Hölscher,et al.  The effect of crowdedness on human wayfinding and locomotion in a multi-level virtual shopping mall , 2019, Journal of Environmental Psychology.

[10]  Ruggiero Lovreglio,et al.  Human behaviour during a healthcare facility evacuation drills: Investigation of pre-evacuation and travel phases , 2020 .

[11]  Francisco Rebelo,et al.  Behavioral compliance for dynamic versus static signs in an immersive virtual environment. , 2014, Applied ergonomics.

[12]  Ting Ke,et al.  A biased least squares support vector machine based on Mahalanobis distance for PU learning , 2018, Physica A: Statistical Mechanics and its Applications.

[13]  Enrico Quagliarini,et al.  Fire safety in Italian-style historical theatres: How photoluminescent wayfinding can improve occupants’ evacuation with no architecture modifications , 2016 .

[14]  Shiroq Al-Megren,et al.  Effect of exit placement on evacuation plans , 2018, Eur. J. Oper. Res..

[15]  Hong Liu,et al.  A path planning approach for crowd evacuation in buildings based on improved artificial bee colony algorithm , 2018, Appl. Soft Comput..

[16]  Yangming Shi,et al.  Impact assessment of reinforced learning methods on construction workers' fall risk behavior using virtual reality , 2019, Automation in Construction.

[17]  Beryl Plimmer,et al.  A systematic review of Virtual Reality in education , 2017 .

[18]  Nan Li,et al.  Emotional Response-Based Approach for Assessing the Sense of Presence of Subjects in Virtual Building Evacuation Studies , 2017, J. Comput. Civ. Eng..

[19]  Tao Wang,et al.  Behavioral evolution in evacuation crowd based on heterogeneous rationality of small groups , 2015, Appl. Math. Comput..

[20]  Max Kinateder,et al.  Social Influence on Evacuation Behavior in Real and Virtual Environments , 2016, Front. Robot. AI.

[21]  Khaled Nassar,et al.  Assessing sign occlusion in buildings using discrete event simulation , 2008 .

[22]  Hanspeter A. Mallot,et al.  Path Complexity Does Not Impair Visual Path Integration , 2006, Spatial Cogn. Comput..

[23]  Nicolas Vuillerme,et al.  Multiscale and Shannon entropies during gait as fall risk predictors-A prospective study. , 2017, Gait & posture.

[24]  Stephan Winter,et al.  Modeling Costs of Turns in Route Planning , 2002, GeoInformatica.

[25]  Alexander Mertens,et al.  Recommendations for the design of digital escape route signage from an age-differentiated experimental study , 2019, Fire Safety Journal.

[26]  Hani S. Mahmassani,et al.  Exit Choice Decisions during Pedestrian Evacuations of Buildings , 2012 .

[27]  Francisco Rebelo,et al.  Effects of competing environmental variables and signage on route-choices in simulated everyday and emergency wayfinding situations , 2014, Ergonomics.

[28]  Karen B. Schloss,et al.  What color are emergency exit signs? Egress behavior differs from verbal report. , 2019, Applied ergonomics.

[29]  Francisco Rebelo,et al.  The influence of environmental features on route selection in an emergency situation. , 2013, Applied ergonomics.

[30]  Zhen He,et al.  Crowd panic state detection using entropy of the distribution of enthalpy , 2019, Physica A: Statistical Mechanics and its Applications.

[31]  Håkan Frantzich,et al.  Fire alarm in a public building : how do people evaluate information and choose evacuation exit? , 1999 .

[32]  Jing Lin,et al.  A virtual reality based study of indoor fire evacuation after active or passive spatial exploration , 2019, Comput. Hum. Behav..

[33]  P. Mahalanobis.  On the generalized distance in statistics , 1936 .

[34]  Carl H. Botan,et al.  Risk communication and the willingness to follow evacuation instructions in a natural disaster , 2012 .

[35]  Jing Lin,et al.  How the completeness of spatial knowledge influences the evacuation behavior of passengers in metro stations: A VR-based experimental study , 2020 .

[36]  L. T. Wong,et al.  Experimental study on visibility of exit signs in buildings , 2007 .

[37]  Feiping Nie,et al.  Learning a Mahalanobis distance metric for data clustering and classification , 2008, Pattern Recognit..

[38]  Daniel M. Madrzykowski,et al.  Visibility of Exit Signs in Clear and Smoky Conditions , 1992 .

[39]  E. Maguire,et al.  The dynamic nature of cognition during wayfinding , 2008, Journal of environmental psychology.

[40]  Max Kinateder,et al.  Exit choice in an emergency evacuation scenario is influenced by exit familiarity and neighbor behavior , 2018, Safety Science.

[41]  Edwin R. Galea,et al.  Visibility catchment area of exits and signs , 2001 .

[42]  Ufuk Dogu,et al.  Spatial Factors Affecting Wayfinding and Orientation , 2000 .

[43]  Majid Sarvi,et al.  Human exit choice in crowded built environments: Investigating underlying behavioural differences between normal egress and emergency evacuations , 2016 .

[44]  Ruggiero Lovreglio,et al.  Immersive Virtual Reality Serious Games for Evacuation Training and Research: A Systematic Literature Review , 2018, Comput. Educ..

[45]  Bauke de Vries,et al.  Way finding during fire evacuation; an analysis of unannounced fire drills in a hotel at night , 2010 .

[46]  Stefano Giordani,et al.  Centrality measures for evacuation: Finding agile evacuation routes , 2017, Future Gener. Comput. Syst..

[47]  Markus Knauff,et al.  Up the down staircase : Wayfinding strategies in multi-level buildings , 2006 .

[48]  Edwin R. Galea,et al.  Evaluating the effectiveness of an improved active dynamic signage system using full scale evacuation trials , 2017 .

[49]  Ghang Lee,et al.  Prototype development and test of a server-independent smart exit sign system: An algorithm, a hardware configuration, and its communication reliability , 2018, Automation in Construction.

[50]  Daniel Nilsson,et al.  Coloured Flashing Lights to Mark Emergency Exits - Experiences from Evacuation Experiments , 2005 .

[51]  Burcin Becerik-Gerber,et al.  Immersive virtual environments versus physical built environments: A benchmarking study for building design and user-built environment explorations , 2015 .

[52]  Umi Kalsom Yusof,et al.  Dynamic crowd evacuation approach for the emergency route planning problem: Application to case studies , 2018 .

[53]  Nobuyoshi Yabuki,et al.  Signage visibility analysis and optimization system using BIM-enabled virtual reality (VR) environments , 2017, Adv. Eng. Informatics.

[54]  Stuart E. Dreyfus,et al.  An Appraisal of Some Shortest-Path Algorithms , 1969, Oper. Res..

[55]  Enrico Ronchi,et al.  Dissuasive exit signage for building fire evacuation. , 2017, Applied ergonomics.

[56]  Enrico Ronchi,et al.  The future of evacuation drills: Assessing and enhancing evacuee performance , 2020, Safety Science.

[57]  Edwin R. Galea,et al.  Experimental analysis of the effectiveness of emergency signage and its implementation in evacuation simulation , 2012 .

[58]  M. Shamim Hossain,et al.  Estimating VR Sickness and user experience using different HMD technologies: An evaluation study , 2019, Future Gener. Comput. Syst..

[59]  Ruggiero Lovreglio,et al.  Prototyping Virtual Reality Serious Games for Building Earthquake Preparedness: The Auckland City Hospital Case Study , 2018, Adv. Eng. Informatics.

[60]  Alycia M. Hund,et al.  What constitutes effective wayfinding directions: The interactive role of descriptive cues and memory demands , 2014 .

[61]  Won-Hwa Hong,et al.  Evacuation performance of individuals in different visibility conditions , 2011 .

[62]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[63]  Hui Xie.  INVESTIGATION INTO THE INTERACTION OF PEOPLE WITH SIGNAGE SYSTEMS AND ITS IMPLEMENTATION WITHIN EVACUATION MODELS , 2011 .

[64]  Jing Lin,et al.  Assessing the influence of repeated exposures and mental stress on human wayfinding performance in indoor environments using virtual reality technology , 2019, Adv. Eng. Informatics.

[65]  Enrico Ronchi,et al.  Modelling the Impact of Emergency Exit Signs in Tunnels , 2012 .

[66]  Michael O'Neill,et al.  Effects of Signage and Floor Plan Configuration on Wayfinding Accuracy , 1991 .

[67]  Alcides R. Santander-Mercado,et al.  Modelling building emergency evacuation plans considering the dynamic behaviour of pedestrians using agent-based simulation , 2019, Safety Science.

[68]  Edwin R. Galea,et al.  Signage Legibility Distances as a Function of Observation Angle , 2007 .

[69]  Valeria Vignali,et al.  Fixation distance and fixation duration to vertical road signs. , 2018, Applied ergonomics.

[70]  Christopher R. Bennett,et al.  Developing an Innovative Method for Visual Perception Evaluation in a Physical-Based Virtual Environment , 2019, Building and Environment.

[71]  Pascal Van Hentenryck,et al.  A Conflict-Based Path-Generation Heuristic for Evacuation Planning , 2013, ArXiv.

[72]  Guylène Proulx,et al.  A stress model for people facing a fire , 1993 .

[73]  Edwin R. Galea,et al.  Representing the Influence of Signage on Evacuation Behavior within an Evacuation Model , 2006 .

[74]  Christoph Hölscher,et al.  Virtual reality as an empirical research tool - Exploring user experience in a real building and a corresponding virtual model , 2015, Comput. Environ. Urban Syst..