Development and evaluation of a VR research tool to study wayfinding behaviour in a multi-story building

Feng, Yundi; Duives, Dorine C.; Hoogendoorn, Serge P.

doi:10.1016/j.ssci.2021.105573

Cited by 35 publications

(4 citation statements)

References 105 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be considered that this field was initially formed at the initial growth stage (2006)(2007)(2008)(2009)(2010)(2011). With the advent of Industry 4.0, the rapid development stage started in 2012 (Karnik et al, 2021;Sharma et al, 2022), the year that brought numerous emerging techniques, including the Internet of Things (IoT), Building Information Modelling (BIM), Geographic Information System (GIS), Virtual Reality (VR), and AI (Feng et al, 2022;Li et al, 2021d;Zhang et al, 2022). An exponential growth in the literature quantity can be observed during this phase.…”

Section: Publication Trendsmentioning

confidence: 99%

“…traffic evacuation, Vehicle-mounted Internet, Radio Frequency Identification, and GIS have greatly promoted the development of intelligent traffic evacuation (Chen and Chung, 2017;Du et al, 2021;Wang et al, 2022b). Recent popular technologies, such as Big Data, VR, 5G, Sensors, and Cloud technology, enable scholars to accurately quantify and analyze human psychology, social behaviour, and crowd dynamics during large-scale emergency evacuation situations, hence, to better set the parameters for pedestrians or crowds in SC models (Diao and Shih, 2018;Feng et al, 2022;Li and Hsiao, 2018;Zhang et al, 2016). The development of platforms and solvers (e.g., FICO Xpress Optimization, Gurobi Optimizer, and IBM ILOG CPLEX Optimization Studio) provides new solutions for SC algorithms and can be used to address mass evacuation optimization problems.…”

Section: Multidisciplinary Knowledge Analysismentioning

confidence: 99%

See 1 more Smart Citation

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Liang

Wal²,

Xie³

et al. 2023

Safety Science

View full text Add to dashboard Cite

Section: Publication Trendsmentioning

confidence: 99%

Section: Multidisciplinary Knowledge Analysismentioning

confidence: 99%

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Liang

Wal²,

Xie³

et al. 2023

Safety Science

View full text Add to dashboard Cite

“…Participants are often influenced by others, especially the views and behaviors of people with authority ( 78 ). Feng et al simulated their experiment composed of four pathfinding tasks, automatically collected pedestrian walking trajectories, head movements and fixation points, and used various indicators to evaluate the effectiveness of the experiment ( 79 ).…”

Section: Verification Of Simulation Modelmentioning

confidence: 99%

Review of Virtual Simulation of Crowd Motion for Urban Emergency Management

Liu

Chai

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

With increasing urbanization in China, there are more and more urban crowds, bringing new challenges to public safety management. The analysis and modeling of crowd behavior are important aspects of emergency management in smart cities. This paper reviews and summarizes existing research into crowd behavior simulation and analyzes existing simulation data collection methods. Crowd simulation technology is discussed from three aspects: crowd modeling, motion navigation, and emotion-driven crowd animation. The indicators of the simulation models are analyzed from the perspective of model evaluation. Finally, combined with the status quo, the existing research limitations are analyzed, and the direction of further research into crowd simulation behavior is discussed.

show abstract

“…It further enables to create scenarios that would be extremely expensive, risky, or difficult to manipulate in real-life experiments [6,7] while eliminating the possibility of field-related exogenous confounders [8]. VR has attracted numerous users from many (sub)disciplines including emergency management/evacuation studies [9,10], wayfinding behavior [11], healthcare and psychology disorders (i.e., stress, anxiety) [8,[12][13][14][15], education and training [16], and geography/environmental sciences [17][18][19][20]. Its usage notably enables the creation of realistic early-stage experiences for simulating and testing interventions in urban planning.…”

Section: Introductionmentioning

confidence: 99%

The use of Virtual Reality (VR) to assess the impact of geographical environments on walking and cycling: a systematic literature review

Ghanbari,

Dijst,

McCall

et al. 2024

Int J Health Geogr

View full text Add to dashboard Cite

Background Geographical environments influence people's active mobility behaviors, contributing to their physical and mental health. The use of Virtual Reality (VR) in experimental research can unveil new insights into the relationship between exposure to geographic environments and active mobility behaviors. This systematic review aims to (1) identify environmental attributes investigated in relation with walking and cycling, using VR, (2) assess their impacts on active mobility behaviors and attitudes, and (3) identify research gaps, strengths and limitations in VR-based experimental research. Methods Articles published between January 2010 and February 2022 within five databases (PubMed, Scopus, EBSCO, IEEE Xplore, and Cochrane Library) were explored using three keywords and their synonyms: Virtual Reality, Active mobility behavior, and Geographical environments. Studies focusing on indoor environments, driving simulation, disease-specific groups, non-relevant disciplines (e.g. military, emergency evacuation), VR methodology/software optimization, and those with static participants' involvement were excluded. The full protocol is available from PROSPERO (ID = CRD42022308366). Results Out of 3255 articles, 18 peer-reviewed papers met the selection criteria, mostly focusing on walking (83%). Most studies used head-mounted displays (94%) and relied on convenience sampling (72% below 100 participants). Both static (33%) and dynamic (45%) environmental attributes have been investigated, with only 22% of them simultaneously in the same virtual environment. Greenness and crowd density were the most frequent attributes, rather consistently associated with emotional states and movement behaviors. Few studies have taken into account participant’s previous VR experience (33%) and cybersickness (39%) while both are likely to affect an individual’s perception and behavior. Conclusions Future research should explore a broader range of environmental attributes, including static and dynamic ones, as well as a more complex integration of these attributes within a single experiment to mimic the effect of realistic environments on people's active mobility behaviors and attitudes. Larger and more diverse population samples are deemed required to improve result generalizability. Despite methodological challenges, VR emerges as a promising tool to disentangle the effect of complex environments on active mobility behaviors.

show abstract

Development and evaluation of a VR research tool to study wayfinding behaviour in a multi-story building

Cited by 35 publications

References 105 publications

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Review of Virtual Simulation of Crowd Motion for Urban Emergency Management

The use of Virtual Reality (VR) to assess the impact of geographical environments on walking and cycling: a systematic literature review

Contact Info

Product

Resources

About