Understanding influences on pedestrian movement is important to accurately simulate crowd behaviour, yet little research has explored the psychological factors that influence interactions between large groups in counterflow scenarios. Research from social psychology has demonstrated that social identities can influence the micro-level pedestrian movement of a psychological crowd, yet this has not been extended to explore behaviour when two large psychological groups are co-present. This study investigates how the presence of large groups with different social identities can affect pedestrian behaviour when walking in counterflow. Participants (N = 54) were divided into two groups and primed to have identities as either ‘team A’ or ‘team B’. The trajectories of all participants were tracked to compare the movement of team A when walking alone to when walking in counterflow with team B, based on their i) speed of movement and distance walked, and ii) proximity between participants. In comparison to walking alone, the presence of another group influenced team A to collectively self-organise to reduce their speed and distance walked in order to walk closely together with ingroup members. We discuss the importance of incorporating social identities into pedestrian group dynamics for empirically validated simulations of counterflow scenarios.
{"title":"Placing Large Group Relations into Pedestrian Dynamics: Psychological Crowds in Counterflow","authors":"A. Templeton, J. Drury, A. Philippides","doi":"10.17815/cd.2019.23","DOIUrl":"https://doi.org/10.17815/cd.2019.23","url":null,"abstract":"Understanding influences on pedestrian movement is important to accurately simulate crowd behaviour, yet little research has explored the psychological factors that influence interactions between large groups in counterflow scenarios. Research from social psychology has demonstrated that social identities can influence the micro-level pedestrian movement of a psychological crowd, yet this has not been extended to explore behaviour when two large psychological groups are co-present. This study investigates how the presence of large groups with different social identities can affect pedestrian behaviour when walking in counterflow. Participants (N = 54) were divided into two groups and primed to have identities as either ‘team A’ or ‘team B’. The trajectories of all participants were tracked to compare the movement of team A when walking alone to when walking in counterflow with team B, based on their i) speed of movement and distance walked, and ii) proximity between participants. In comparison to walking alone, the presence of another group influenced team A to collectively self-organise to reduce their speed and distance walked in order to walk closely together with ingroup members. We discuss the importance of incorporating social identities into pedestrian group dynamics for empirically validated simulations of counterflow scenarios.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41671463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pedestrian dynamics is concerned with understanding the movement patterns that arise in places where more than one person walks. Relating theoretical models to data is a crucial goal of research in this field. Statistical model fitting and model selection are a suitable approach to this problem and here we review the concepts and literature related to this methodology in the context of pedestrian dynamics. The central tenet of statistical modelling is to describe the relationship between different variables by using probability distributions. Rather than providing a critique of existing methodology or a "how to" guide for such an established research technique, our review aims to highlight broad concepts, different uses, best practices, challenges and opportunities with a focussed view on theoretical models for pedestrian behaviour. This contribution is aimed at researchers in pedestrian dynamics who want to carefully analyse data, relate a theoretical model to data, or compare the relative quality of several theoretical models. The survey of the literature we present provides many methodological starting points and we suggest that the particular challenges to statistical modelling in pedestrian dynamics make this an inherently interesting field of research.
{"title":"Statistical Model Fitting and Model Selection in Pedestrian Dynamics Research","authors":"N. Bode, E. Ronchi","doi":"10.17815/CD.2019.20","DOIUrl":"https://doi.org/10.17815/CD.2019.20","url":null,"abstract":"Pedestrian dynamics is concerned with understanding the movement patterns that arise in places where more than one person walks. Relating theoretical models to data is a crucial goal of research in this field. Statistical model fitting and model selection are a suitable approach to this problem and here we review the concepts and literature related to this methodology in the context of pedestrian dynamics. The central tenet of statistical modelling is to describe the relationship between different variables by using probability distributions. Rather than providing a critique of existing methodology or a \"how to\" guide for such an established research technique, our review aims to highlight broad concepts, different uses, best practices, challenges and opportunities with a focussed view on theoretical models for pedestrian behaviour. This contribution is aimed at researchers in pedestrian dynamics who want to carefully analyse data, relate a theoretical model to data, or compare the relative quality of several theoretical models. The survey of the literature we present provides many methodological starting points and we suggest that the particular challenges to statistical modelling in pedestrian dynamics make this an inherently interesting field of research.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48435359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juliane Adrian, N. Bode, M. Amos, Mitra Baratchi, Mira Beermann, M. Boltes, Alessandro Corbetta, G. Dezecache, J. Drury, Zhijian Fu, Roland Geraerts, S. Gwynne, G. Hofinger, A. Hunt, Tinus Kanters, A. Kneidl, K. Kónya, Gerta Köster, M. Küpper, Georgios Michalareas, F. Neville, Evangelos Ntontis, S. Reicher, E. Ronchi, A. Schadschneider, A. Seyfried, A. Shipman, A. Sieben, M. Spearpoint, G. Sullivan, A. Templeton, F. Toschi, Zeynep Yücel, F. Zanlungo, I. Zuriguel, Natalie Van der Wal, Frank van Schadewijk, Cornelia von Krüchten, Nanda Wijermans
This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary.
{"title":"A Glossary for\u0000Research on Human Crowd Dynamics","authors":"Juliane Adrian, N. Bode, M. Amos, Mitra Baratchi, Mira Beermann, M. Boltes, Alessandro Corbetta, G. Dezecache, J. Drury, Zhijian Fu, Roland Geraerts, S. Gwynne, G. Hofinger, A. Hunt, Tinus Kanters, A. Kneidl, K. Kónya, Gerta Köster, M. Küpper, Georgios Michalareas, F. Neville, Evangelos Ntontis, S. Reicher, E. Ronchi, A. Schadschneider, A. Seyfried, A. Shipman, A. Sieben, M. Spearpoint, G. Sullivan, A. Templeton, F. Toschi, Zeynep Yücel, F. Zanlungo, I. Zuriguel, Natalie Van der\u0000Wal, Frank van Schadewijk, Cornelia von Krüchten, Nanda Wijermans","doi":"10.17815/CD.2019.19","DOIUrl":"https://doi.org/10.17815/CD.2019.19","url":null,"abstract":"This article presents a glossary of terms that are frequently used in research on human crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This also reflects the fact not all contributors necessarily agree with all definitions in this glossary. ","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74349770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pedestrian microscopic simulation models can aid crowd management only if they can reproduce the crowd behavior correctly. To calibrate and validate the model, it is important to understand crowd movement during various activities involved in mass gathering events. A common practice in such gathering is to hold attendees in waiting area in near corridors separated by crowd barriers before the event and allow entering the event only after a designated time. The crowd is released in small batches to avoid overcrowding inside. Long waiting hours, anger, excitement, competitive feeling etc. can make crowd aggressive during such entries. Crowd flow characteristics due to such behavior is difficult to recreate in pedestrian experimental studies in laboratory setting. This paper studied interrupted flow of such crowd through a narrow corridors made of strong railing channel inside a temple. Interrupted flow lead to formation of one dimensional stop and go waves. These stop and go waves were studied from the trajectory data. The average speed of waves propagating over longer distance were also estimated. The quantitative output from this study can be used to calibrate and validate simulation models of such activity during mass gathering events.
{"title":"Characteristics of Stop and Go Wave in One Dimensional Interrupted Pedestrian Flow Through Narrow Channel","authors":"H. Gayathri, Siddhartha Gulhare, A. Verma","doi":"10.17815/CD.2018.18","DOIUrl":"https://doi.org/10.17815/CD.2018.18","url":null,"abstract":"Pedestrian microscopic simulation models can aid crowd management only if they can reproduce the crowd behavior correctly. To calibrate and validate the model, it is important to understand crowd movement during various activities involved in mass gathering events. A common practice in such gathering is to hold attendees in waiting area in near corridors separated by crowd barriers before the event and allow entering the event only after a designated time. The crowd is released in small batches to avoid overcrowding inside. Long waiting hours, anger, excitement, competitive feeling etc. can make crowd aggressive during such entries. Crowd flow characteristics due to such behavior is difficult to recreate in pedestrian experimental studies in laboratory setting. This paper studied interrupted flow of such crowd through a narrow corridors made of strong railing channel inside a temple. Interrupted flow lead to formation of one dimensional stop and go waves. These stop and go waves were studied from the trajectory data. The average speed of waves propagating over longer distance were also estimated. The quantitative output from this study can be used to calibrate and validate simulation models of such activity during mass gathering events.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43938156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Paul Geoerg, Jette Schumann, M. Boltes, Stefan Holl, Anja Hofmann
Understanding movement in heterogeneous groups is important for a meaningful evaluation of evacuation prediction and for a proper design of buildings. The understanding of interactions and influencing factors in heterogeneous groups on key performance figures is fundamental for a safe design. This contribution presents results of experimental studies on movement of a crowd through a bottleneck involving participants with and without disabilities. High precise trajectories of the attendees extracted from video recordings were used to calculate density and velocity of the participants. Besides the well-established fundamental diagram new insights into the individual relation between density and velocity are discussed. A complex structure and considerate behaviour in movement implicates a strong influence of the heterogeneity on key performance values of safe movement.
{"title":"The influence of physical and mental constraints to a stream of people through a bottleneck","authors":"Paul Geoerg, Jette Schumann, M. Boltes, Stefan Holl, Anja Hofmann","doi":"10.17815/cd.2020.57","DOIUrl":"https://doi.org/10.17815/cd.2020.57","url":null,"abstract":"Understanding movement in heterogeneous groups is important for a meaningful evaluation of evacuation prediction and for a proper design of buildings. The understanding of interactions and influencing factors in heterogeneous groups on key performance figures is fundamental for a safe design. This contribution presents results of experimental studies on movement of a crowd through a bottleneck involving participants with and without disabilities. High precise trajectories of the attendees extracted from video recordings were used to calculate density and velocity of the participants. Besides the well-established fundamental diagram new insights into the individual relation between density and velocity are discussed. A complex structure and considerate behaviour in movement implicates a strong influence of the heterogeneity on key performance values of safe movement.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41735416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juliane Adrian, M. Boltes, Stefan Holl, A. Sieben, A. Seyfried
In this paper, we present results of an entrance experiment investigating the effect of the corridor width in front of a bottleneck on the density. The idea is based on a previous study suggesting that a guiding system in front of an entrance can reduce pushing of the waiting people and thus the density at the entrance. In our study we aim to find out to what extend the corridor width has an impact on crowding or queuing behavior and with that on the density. The results of the presented experiment suggest that the transition takes place between a corridor width of 1.2 m and 2.3 m. The total duration of each experimental run is not significantly influenced by the corridor width but by the width of the entrance itself, the number of participants and partly by the motivation. In general, the density in front of the gate as well as the area of high density is increased by widening the corridor and by intensifying the motivation of the participants. However, the results also suggest that also the number of participants significantly influences the occurrence of pushing and the level of density.
{"title":"Crowding and Queuing in Entrance Scenarios: Influence of Corridor Width in Front of Bottlenecks","authors":"Juliane Adrian, M. Boltes, Stefan Holl, A. Sieben, A. Seyfried","doi":"10.17815/CD.2020.50","DOIUrl":"https://doi.org/10.17815/CD.2020.50","url":null,"abstract":"In this paper, we present results of an entrance experiment investigating the effect of the corridor width in front of a bottleneck on the density. The idea is based on a previous study suggesting that a guiding system in front of an entrance can reduce pushing of the waiting people and thus the density at the entrance. In our study we aim to find out to what extend the corridor width has an impact on crowding or queuing behavior and with that on the density. The results of the presented experiment suggest that the transition takes place between a corridor width of 1.2 m and 2.3 m. The total duration of each experimental run is not significantly influenced by the corridor width but by the width of the entrance itself, the number of participants and partly by the motivation. In general, the density in front of the gate as well as the area of high density is increased by widening the corridor and by intensifying the motivation of the participants. However, the results also suggest that also the number of participants significantly influences the occurrence of pushing and the level of density.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46043939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Appert-Rolland, Julien Pettr'e, A. Olivier, W. Warren, Aymeric Duigou-Majumdar, Etienne Pinsard, Alexandre Nicolas
We report on two series of experiments, conducted in the frame of two different collaborations designed to study how pedestrians adapt their trajectories and velocities in groups or crowds. Strong emphasis is put on the motivations for the chosen protocols and the experimental implementation. The first series deals with pattern formation, interactions between pedestrians, and decision-making in pedestrian groups at low to medium densities. In particular, we show how pedestrians adapt their headways in single-file motion depending on the (prescribed) leader’s velocity. The second series of experiments focuses on static crowds at higher densities, a situation that can be critical in real life and in which the pedestrians’ choices of motion are strongly constrained sterically. More precisely, we study the crowd’s response to its crossing by a pedestrian or a cylindrical obstacle of 74cm in diameter. In the latter case, for a moderately dense crowd, we observe displacements that quickly decay with the minimal distance to the obstacle, over a lengthscale of the order of the meter.
{"title":"Experimental Study of Collective Pedestrian Dynamics","authors":"C. Appert-Rolland, Julien Pettr'e, A. Olivier, W. Warren, Aymeric Duigou-Majumdar, Etienne Pinsard, Alexandre Nicolas","doi":"10.17815/cd.2020.109","DOIUrl":"https://doi.org/10.17815/cd.2020.109","url":null,"abstract":"We report on two series of experiments, conducted in the frame of two different collaborations designed to study how pedestrians adapt their trajectories and velocities in groups or crowds. Strong emphasis is put on the motivations for the chosen protocols and the experimental implementation. The first series deals with pattern formation, interactions between pedestrians, and decision-making in pedestrian groups at low to medium densities. In particular, we show how pedestrians adapt their headways in single-file motion depending on the (prescribed) leader’s velocity. The second series of experiments focuses on static crowds at higher densities, a situation that can be critical in real life and in which the pedestrians’ choices of motion are strongly constrained sterically. More precisely, we study the crowd’s response to its crossing by a pedestrian or a cylindrical obstacle of 74cm in diameter. In the latter case, for a moderately dense crowd, we observe displacements that quickly decay with the minimal distance to the obstacle, over a lengthscale of the order of the meter.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49155427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Managing and controlling crowd during mass religious gathering is a challenge for organizers. With good computational capabilities, it is possible to create tools to simulate crowd in real time to aid crowd management. These tools need to be first calibrated and validated with pedestrian empirical data. The empirical data collection from field is difficult and therefore, data collection through controlled pedestrian experiments have become a convenient substitute. However, the ability of experiment data to reproduce actual crowd behavior needs to be examined. This study compared the experiment data with field data collected from mass religious gathering named Kumbh Mela held in India, 2016. The single file movement (pedestrians moving along a single line; SFM) experiment was conducted and its results were compared with the field SFM results. The speed in the field was found to be generally higher than in the experiment for a given density. The results clearly indicate that the pedestrians in the field are motivated to achieve a purpose but participants in the experiments lack the motivation. The pedestrian dynamics of the experiment was found to be different from the field. Hence, the results of pedestrian experiments should not be extrapolated to understand panic, crowd risk situations.
{"title":"Comparison of Pedestrian Data of Single File Movement Collected from Controlled Pedestrian Experiment and from Field in Mass Religious Gathering","authors":"Siddhartha Gulhare, A. Verma, P. Chakroborty","doi":"10.17815/CD.2018.16","DOIUrl":"https://doi.org/10.17815/CD.2018.16","url":null,"abstract":"Managing and controlling crowd during mass religious gathering is a challenge for organizers. With good computational capabilities, it is possible to create tools to simulate crowd in real time to aid crowd management. These tools need to be first calibrated and validated with pedestrian empirical data. The empirical data collection from field is difficult and therefore, data collection through controlled pedestrian experiments have become a convenient substitute. However, the ability of experiment data to reproduce actual crowd behavior needs to be examined. This study compared the experiment data with field data collected from mass religious gathering named Kumbh Mela held in India, 2016. The single file movement (pedestrians moving along a single line; SFM) experiment was conducted and its results were compared with the field SFM results. The speed in the field was found to be generally higher than in the experiment for a given density. The results clearly indicate that the pedestrians in the field are motivated to achieve a purpose but participants in the experiments lack the motivation. The pedestrian dynamics of the experiment was found to be different from the field. Hence, the results of pedestrian experiments should not be extrapolated to understand panic, crowd risk situations.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48206084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We present a novel interactive multi-agent simulation algorithm to model pedestrian movement dynamics. We use statistical techniques to compute the movement patterns and motion dynamics from 2D trajectories extracted from crowd videos. Our formulation extracts the dynamic behavior features of real-world agents and uses them to learn movement characteristics on the fly. The learned behaviors are used to generate plausible trajectories of virtual agents as well as for long-term pedestrian trajectory prediction. Our approach can be integrated with any trajectory extraction method, including manual tracking, sensors, and online tracking methods. We highlight the benefits of our approach on many indoor and outdoor scenarios with noisy, sparsely sampled trajectory in terms of trajectory prediction and data-driven pedestrian simulation.
{"title":"Modeling Trajectory-level Behaviors using Time Varying Pedestrian Movement Dynamics","authors":"Aniket Bera, Sujeong Kim, Dinesh Manocha","doi":"10.17815/CD.2018.15","DOIUrl":"https://doi.org/10.17815/CD.2018.15","url":null,"abstract":"We present a novel interactive multi-agent simulation algorithm to model pedestrian movement dynamics. We use statistical techniques to compute the movement patterns and motion dynamics from 2D trajectories extracted from crowd videos. Our formulation extracts the dynamic behavior features of real-world agents and uses them to learn movement characteristics on the fly. The learned behaviors are used to generate plausible trajectories of virtual agents as well as for long-term pedestrian trajectory prediction. Our approach can be integrated with any trajectory extraction method, including manual tracking, sensors, and online tracking methods. We highlight the benefits of our approach on many indoor and outdoor scenarios with noisy, sparsely sampled trajectory in terms of trajectory prediction and data-driven pedestrian simulation.","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45045520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Finding the way out of a building during evacuation is not an easy task. Ideally, instructions provide clear and unambiguous information to occupants about the best means to evacuate. However, many times, building occupants may find the best course of action is not always clear. Conflicting or ambiguous cues can make a process that requires a quick response, slow and possibly more dangerous. Emergency signage may be vague, conflicting with other cues, or easily overlooked. The egress route directed by signage may appear difficult to traverse or dangerous. It is crucial then to best understand how evacuees find, interpret, and act upon visual information provided by emergency signage and egress routes in emergency situations. We tested the way visual information of signage and routes is used when an occupant needs to evacuate a building. In a virtual reality experiment, conflicting visual cues were pitted against each other in order to best understand how participants use visual information.
{"title":"Effects of visual information on decision making during way-finding in emergency and non-emergency situations.","authors":"Gregory C Dachner, Max Kinateder","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Finding the way out of a building during evacuation is not an easy task. Ideally, instructions provide clear and unambiguous information to occupants about the best means to evacuate. However, many times, building occupants may find the best course of action is not always clear. Conflicting or ambiguous cues can make a process that requires a quick response, slow and possibly more dangerous. Emergency signage may be vague, conflicting with other cues, or easily overlooked. The egress route directed by signage may appear difficult to traverse or dangerous. It is crucial then to best understand how evacuees find, interpret, and act upon visual information provided by emergency signage and egress routes in emergency situations. We tested the way visual information of signage and routes is used when an occupant needs to evacuate a building. In a virtual reality experiment, conflicting visual cues were pitted against each other in order to best understand how participants use visual information.</p>","PeriodicalId":93276,"journal":{"name":"Collective dynamics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455129/pdf/nihms-1032624.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39441826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：