Abstract
Perceived crowding is one of the important evaluative factors for environment quality. As a result, understanding the levels of perceived crowding is highly valued in recreation. According to previous studies, the earliest way to measure perceived crowding is to use the 9-point Likert scale. The smaller the figure, the less the users feel crowded on the spot. However, there are also different methods used in those studies to discuss the relationships between user's perceived crowding and other variables; including on-site survey, mail survey, picture simulation or virtual reality (VR). Among those different methods, as the new technology, VR may be considered the an appropriate research tool for the front-country crowing studies. In order to eliminating the limitations imposed by previous studies on measuring perceived crowding and understanding the potential of using IVR technology to measure perceived crowding. We used three studies to discuss the difference between photos and IVR, the difference between on-site experience and IVR, and the difference between on-site photo and VE in IVR method. This study progressively proves that: 1) IVR was more sensitive than photo evaluation method, and 2) IVR was not different from the on-site experience. 3) When IVR is used for research, there was no difference between on-site photo and VE. The results suggested that IVR might be more close to real on-site perceived crowding than traditional photo method; and it is possible to use 3D simulations in IVR.
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References
Adelman BJE, Heberlein TA, Bonnicksen TM (1982) Social psychological explanations for the persistence of a conflict between paddling canoeists and motorcraft users in the Boundary Waters Canoe Area. Leis Sci 5(1):45–61
Aiello JR (1987) Human spatial behavior. Handb Environ Psychol 1(1987):389–504
Altman I (1975) The environment and social behavior: privacy, personal space, territory, crowding. Brooks/Cole Pub., Co., Belmont
Anderson M, Kerstette D, Graefe A (1998) The effects of festival attributes upon perceptions of crowding. In: Vogelsong, Hans G, comp (eds) Proceedings of the 1997 Northeastern Recreation Research Symposium, 1997 April 6–9, Bolton Landing, NY. Gen. Tech. Rep. NE-241. Radnor, PA: US Department of Agriculture, Forest Service, Northeastern Forest Experiment Station, vol 241, pp 182–185
Armougum A, Orriols E, Gaston-Bellegarde A, Joie-La Marle C, Piolino P (2019) Virtual reality: a new method to investigate cognitive load during navigation. J Environ Psychol 65:1–15
Arnberger A, Brandenburg C (2007) Past on-site experience, crowding perceptions, and use displacement of visitor groups to a peri-urban national park. Environ Manag 40(1):34–45
Arnberger A, Mann C (2008) Crowding in European forests: a review of recent research and implications for forest management and policy. Forestry 81(4):559–571
Baran PK, Tabrizian P, Zhai Y, Smith JW, Floyd MF (2018) An exploratory study of perceived safety in a neighborhood park using immersive virtual environments. Urban For Urban Green 35:72–81
Bernath K, Roschewitz A, Studhalter S (2006) Die Wälder der Stadt Zürich als Erholungsraum. Schnee und Landschaft WSL, Birmensdorf, p S 43
Birenboim A, Dijst M, Ettema D, de Kruijf J, de Leeuwd G, Dogterom N (2019) The utilization of immersive virtual environments for the investigation of environmental preferences. Landsc Urban Plan 189:129–138
Brown TC, Richards MT, Daniel TC, King DA (1989) Recreation participation and the validity of photo-based preference judgments. J Leis Res 21(1):40–60
Calhoun JB (1962) Population density and social pathology. Sci Am 206(2):139–149
Choi SC, Mirjafari A, Weaver HB (1976) The concept of crowding: a critical review and proposal of an alternative approach. Environ Behav 8(3):345–362
Cosma G, Ronchi E, Nilsson D (2016) Way-finding lighting systems for rail tunnel evacuation: a virtual reality experiment with Oculus Rift®. J Transp Saf Secur 8(suppl 1):101–117
Daniel TC, Boster RS (1976) Measuring landscape esthetics: the scenic beauty estimation method. Res. Pap. RM-RP-167. US Department of Agriculture, Forest Service, Rocky Mountain Range and Experiment Station, 167, p 66
Dasmann RF (1964) African game ranching. Macmillan, New York
Desor JA (1972) Toward a psychological theory of crowding. J Pers Soc Psychol 21(1):79
Eder R, Arnberger A (2012) The influence of place attachment and experience use history on perceived depreciative visitor behavior and crowding in an urban national park. Environ Manag 50(4):566–580
Farooq B, Cherchi E, Sobhani A (2018) Virtual immersive reality for stated preference travel behavior experiments: a case study of autonomous vehicles on urban roads. Transp Res Rec 2672(50):35–45
Gibson AW, Newman P, Lawson S, Fristrup K, Benfield JA, Bell PA, Nurse GA (2014) Photograph presentation order and range effects in visual-based outdoor recreation research. Leis Sci 36(2):183–205
Graefe AR, Vaske JJ, Kuss FR (1984) Social carrying capacity: an integration and synthesis of twenty years of research. Leis Sci 6(4):395–431
Grechkin TY, Chihak BJ, Cremer JF, Kearney JK, Plumert JM (2013) Perceiving and acting on complex affordances: how children and adults bicycle across two lanes of opposing traffic. J Exp Psychol Hum Percept Perform 39(1):23
Gupta N, Singh A, Butail S (2017) The effect of instructional priming on postural responses to virtual crowds. In: Paper presented at the 2017 IEEE virtual humans and crowds for immersive environments (VHCIE), Los Angeles, California
Gutierrez M, Vexo F, Thalmann D (2008) Stepping into virtual reality. Springer Science and Business Media, Berlin
Haas GE (2001) Visitor capacity in the national park system. Soc Sci Res Rev 2(1):1–28
Haas G (2003) Applying judicial doctrine to visitor capacity decision making. Soc Nat Resour 16(8):741–750
Havitz ME (1987) An experimental examination of sector bias in the context of selected organized recreation services. Unpublished Dissertation. Texas A&M University, College Station, TX
Heberlein TA, Vaske J (1977) Crowding and visitor conflict on the Bois Brule River. University of Wisconsin, Water Resources Center, Madison
Henshel RL (1980) The purposes of laboratory experimentation and the virtues of deliberate artificiality. J Exp Soc Psychol 16:466–478
Heydarian A, Carneiro JP, Gerber D, Becerik-Gerber B, Hayes T, Wood W (2015) Immersive virtual environments versus physical built environments: a benchmarking study for building design and user-built environment explorations. Autom Constr 54:116–126
Hwang J, Yoon SY, Bendle LJ (2012) Desired privacy and the impact of crowding on customer emotions and approach-avoidance responses: waiting in a virtual reality restaurant. Int J Contemp Hosp Manag 24(2):224–250
Iachini T, Coello Y, Frassinetti F, Senese VP, Galante F, Ruggiero G (2016) Peripersonal and interpersonal space in virtual and real environments: effects of gender and age. J Environ Psychol 45:154–164
Jiang B, Wang H, Larsen L, Bao F, Li Z, Pryor M (2019) Quality of sweatshop factory outdoor environments matters for workers’ stress and anxiety: a participatory smartphone-photography survey. J Environ Psychol 65:101336
Kaya N, Erkip F (1999) Invasion of personal space under the condition of short-term crowding: a case study on an automatic teller machine. J Environ Psychol 19(2):183–189
Kim SO, Shelby B (2006) Comparing onsite and offsite methods for measuring norms for trail impacts. Environ Manag 37(4):567–578
Kronqvist A, Jokinen J, Rousi R (2016) Evaluating the authenticity of virtual environments: comparison of three devices. Adv Hum Comput Interact 2016:2937632
Kuentzel WF, Heberlein TA (2003) More visitors, less crowding: change and stability of norms over time at the Apostle Islands. J Leis Res 35(4):349–371
Kuentzel WF, Heberlein TA (2008) Life course changes and competing leisure interests as obstacles to boating specialization. Leis Sci 30(2):143–157
Kuentzel WF, Laven D, Manning RE, Valliere WA (2008) When do normative standards matter most? Understanding the role of norm strength at multiple national park settings. Leis Sci 30(2):127–142
Kus B (2019) A comparative study on spatial perception in real and virtual office environments under different lighting conditions. Unpublished Master’s Thesis. İhsan Doğramacı Bilkent Üniversitesi, Ankara
Kuss FR, Graefe AR, Vaske JJ (1990) Visitor impact management: a review of research. National Parks and Conservation Association, Washington, DC
Lawson S, Manning R, Valliere W, Wang B, Budruk M (2002) Using simulation modeling to facilitate proactive monitoring and adaptive management of social carrying capacity in Arches National Park, Utah, USA. In: Monitoring and management of visitor flows in recreational and protected areas. Proceedings of the conference held at Bodenkultur University Vienna, Austria, pp 205–210
Lee H, Graefe AR (2003) Crowding at an arts festival: extending crowding models to the frontcountry. Tour Manag 24(1):1–11
Lucas RC (1964) Recreational capacity of the Quetico-Superior area. Lake States Forest Experiment Station, Forest Service, USDA
Mann C (2006) Konflikte in Erholungsgebieten: Ursachen, Wirkungen und Lösungsansätze. Kessel, Lenting
Mannell RC (1980) Social psychological techniques and strategies for studying leisure experiences. In: Iso-Ahola SE (ed) Social psychological perspectives on leisure and recreation. Charles C Thomas Publisher, Springfield, pp 62–88
Manning RE (1985) Crowding norms in backcountry settings: a review and synthesis. J Leis Res 17(2):75–89
Manning RE (1998) To provide for the enjoyment : recreation management in the National Parks. George Wright Forum 15(1):6–20
Manning R (2004) Recreation planning frameworks Society and natural resources: a summary of knowledge. Missouri Modern Litho, Jefferson, pp 83–96
Manning RE (2010) Studies in outdoor recreation: search and research for satisfaction. Oregon State University Press, Corvallis
Manning RE (2007) Parks and carrying capacity: commons without tragedy. Island Press, Washington, DC
Manning RE, Ciali CP (1980) Recreation density and user satisfaction: a further exploration of the satisfaction model. J Leis Res 12(4):329–345
Manning RE, Freimund WA (2004) Use of visual research methods to measure standards of quality for parks and outdoor recreation. J Leis Res 36(4):557–579
Manning RE, Valliere WA (2001) Coping in outdoor recreation: causes and consequences of crowding and conflict among community residents. J Leis Res 33(4):410–426
Manning RE, Freimund WA, Lime DW, Pitt DG (1996) Crowding norms at frontcountry sites: a visual approach to setting standards of quality. Leis Sci 18(1):39–59
Martin MW, Sell J (1979) The role of the experiment in the social sciences. Sociol Q 20:581–590
Morrongiello BA, Corbett M, Milanovic M, Pyne S, Vierich R (2015) Innovations in using virtual reality to study how children cross streets in traffic: evidence for evasive action skills. Injury Prev 21(4):266–270
Nunnally JC, Bernstein I (1994) Psychometric theory, 3rd edn. McGraw-Hill Inc., New York
Pearson DG, Craig T (2014) The great outdoors? Exploring the mental health benefits of natural environments. Front Psychol 5:1178
Peron E, Purcell AT, Staats H, Falchero S, Lamb RJ (1998) Models of preference for outdoor scenes: some experimental evidence. Environ Behav 30(3):282–305
Purcell AT (1993) Relations between preference and typicality in the experience of paintings. Leonardo 26(3):235–241
Regoeczi WC (2003) When context matters: a multilevel analysis of household and neighbourhood crowding on aggression and withdrawal. J Environ Psychol 23:457–470
Reichhart T, Arnberger A, Muhar A (2007) A comparison of still images and 3D animations for assessing social trail use conditions. For Snow Landsc Res 81(1/2):77–88
Risto M, Martens MH (2014) Driver headway choice: a comparison between driving simulator and real-road driving. Transp Res Part F Traffic Psychol Behav 25:1–9
Ronchi E, Kinateder M, Müller M, Jost M, Nehfischer M, Pauli P, Mühlberger A (2015) Evacuation travel paths in virtual reality experiments for tunnel safety analysis. Fire Saf J 71:257–267
Rossetti T, Hurtubia R (2020) An assessment of the ecological validity of immersive videos in stated preference surveys. J Choice Model 34:100198. https://doi.org/10.1016/j.jocm.2019.100198
Rumschlag G, Palumbo T, Martin A, Head D, George R, Commissaris RL (2015) The effects of texting on driving performance in a driving simulator: the influence of driver age. Accid Anal Prev 74:145–149
Ryu J, Hashimoto N, Sato M, Soeda M, Ohno R (2007) Application of human-scale immersive VR system for environmental design assessment—a proposal for an architectural design evaluation tool. J Asian Archit Build Eng 6(1):57–64
Schmidt DE, Keating JP (1979) Human crowding and personal control: an integration of the research. Psychol Bull 86(4):680
Sears DO, Freedman JL, Peplau LA (1985) Social psychology, 5th edn. Prentice Hall
Sharp KA (2015) Analysis of the size dependence of macromolecular crowding shows that smaller is better. Proc Natl Acad Sci 112(26):7990–7995
Shelby B, Heberlein TA (1986) Carrying capacity in recreation setting. Oregon State University Press, Corvallis
Shelby LB, Vaske JJ (2007) Perceived crowding among hunters and anglers: a meta-analysis. Hum Dimens Wildl 12(4):241–261
Shelby B, Vaske JJ, Donnelly MP (1996) Norms, standards, and natural resources. Leis Sci 18(2):103–123
Shelby B, Vaske JJ, Heberlein TA (1989) Comparative analysis of crowding in multiple locations: results from fifteen years of research. Leis Sci 11(4):269–291
Stamps AE III (2010) Use of static and dynamic media to simulate environments: a meta-analysis. Percept Mot Skills 111(2):355–364
Stankey GH (1973) Visitor perception of wilderness recreation carrying capacity. Res. Pap. INT-RP-142. Ogden, UT: US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station
Stankey GH, Lime DW (1973) Recreational carrying capacity: an annotated bibliography. USDA Forest Service, Intermountain Forest and Range Experiment Station
Stankey G, Manning R (1986) Carrying capacity of recreation settings A literature review: the president’s commission on American outdoors. US Government Printing Office, Washington, DC, pp M47–M57
Stewart TR, Middleton P, Downton M, Ely D (1984) Judgments of photographs vs. field observations in studies of perception and judgment of the visual environment. J Environ Psychol 4(4):283–302
Stokols D (1972) On the distinction between density and crowding: Some implications for future research. Psychol Rev 79(3):275
Sumner EL (1936) Special report on a wildlife study of the High Sierra in Sequoia and Yosemite National Parks and adjacent territory. US Department of the Interior, National Park Service
Sundstrom E (1975) An experimental study of crowding: effects of room size, intrusion, and goal blocking on nonverbal behavior, self-disclosure, and self-reported stress. J Pers Soc Psychol 32(4):645
Tabrizian P, Baran PK, Smith WR, Meentemeyer RK (2018) Exploring perceived restoration potential of urban green enclosure through immersive virtual environments. J Environ Psychol 55:99–109
Vaske JJ, Donnelly MP (2002) Generalizing the encounter–norm–crowding relationship. Leis Sci 24(3–4):255–269
Vaske JJ, Shelby LB (2008) Crowding as a descriptive indicator and an evaluative standard: results from 30 years of research. Leis Sci 30(2):111–126
Vaske JJ, Donnelly MP, Heberlein TA (1980) Perceptions of crowding and resource quality by early and more recent visitors. Leis Sci 3(4):367–381
Vince J (2004) Introduction to virtual reality. Springer Science and Business Media, Berlin
Wagar JA (1964) The carrying capacity of wild lands for recreation. For Sci 10(2):1–24
Walker AJ, Ryan RL (2008) Place attachment and landscape preservation in rural New England: a Maine case study. Landsc Urban Plan 86(2):141–152
Worchel S, Teddie C (1976) The experience of crowding: a two-factor theory. J Pers Soc Psychol 34(1):30
Yu C-P, Lee H-Y, Luo X-Y (2018) The effect of virtual reality forest and urban environments on physiological and psychological responses. Urban For Urban Green 35:106–114
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Wang, TH., Wu, WH., Shen, L. et al. Exploring the validity of using immersive virtual reality technique on perceived crowding of recreational environment. Landscape Ecol Eng 17, 299–308 (2021). https://doi.org/10.1007/s11355-020-00422-x
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DOI: https://doi.org/10.1007/s11355-020-00422-x