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. 2020 Sep 11;18:100468. doi: 10.1016/j.jdmm.2020.100468

Table 1.

Measurement of perceived crowding.

Authors Study setting Measurement scales Dependent variable(s)
Heberlein and Vaske (1977); Vaske and Shelby (2008) Outdoor recreation (river) A nine-point scale; 1=not at all crowded; 9=extremely crowded Overall satisfaction
Harrell, Hutt, and Anderson (1980).
Machleit et al. (1994);
Retail industry A videotape and written scenario were used to simulate a shopping episode, as well as field data collection. 7-point semantic differential scale:
Too many visitors-Few visitors; Restricts movement-Allows free movement; Can move at my own pace-Must move at the pace set by others; Crowded-Uncrowded; Gives an open feeling-Gives a close feeling; Confined-Spacious
Level of satisfaction
Doorne (2000) Waitomo Caves, New Zealand Nine-point crowding scale: 1–2=Not at all crowded, 3–5=Slightly crowded, 6–7=Moderately crowded, 8–9=Extremely crowded Overall satisfaction
Morgan and Lok (2000) Hanging Rock, Victoria, Australia Nine-point crowding scale: 1–2=Not at all crowded, 3–5=Slightly crowded, 6–7=Moderately crowded, 8–9=Extremely crowded
Use-levels (low, medium, high) determined by the number of vehicles arriving at the attraction
N/A
Manning et al. (2002) Alcatraz Island Acceptability of photographs by using a 9-point scale across the range very acceptable (+4) to very unacceptable (−4)
Computer simulation of visitor use
Arnberger and Haider (2007) Municipal forest Seven-point scale; 1=Severely under crowded, 2=Under crowded, 3=Slightly under crowded, 4=Appropriate use levels, 5=Slightly crowded, 6=Crowded, 7=Overcrowded
Counts by video monitoring
N/A
Ryan et al. (2010) Janfusan Fancyworld Theme Park, Taiwan Seven-point scale on motives and attributes of the theme park Levels of importance and satisfaction
Jin and Pearce (2011) Xi'an, China Acceptability of visitor photographs on a five-point scale: 1=Half as many as the number of people, 2=Same as shown, 3=Twice as shown, 4=Four times as shown,
5= Eight times as shown
N/A
Neuts and Nijkamp (2012) City of Bruge, Belgium Nine-point crowding scale: 1–2=Not at all crowded, 3–5=Slightly crowded, 6–7=Moderately crowded, 8–9=Extremely crowded
Seven other variables like interaction with other, evaluation of crowding perception, preference for use levels
Crowding perception
Burduk et al. (2002) The Arizona-Sonora Desert Museum Actual, expected and preferred density
Expected, preferred, and perceived crowding
Level of satisfaction
Mohd Mahudin, Cox, and Griffiths (2012) Rail commuters in Kula Lumpur, Malaysia Scales made with up to four pictorial passenger destiny:
Evaluation of psychological aspects of crowded situations, Affective reaction to crowded situations, and evaluation of ambient environment of crowded situations
Stress, Feeling of exhaustion
Gigliotti and Chase (2014) Outdoor recreation (deer hunting) A five-point scale; 1=Not enough (hunters); 2= Just Right - Not Crowded, 3= Slightly Crowded, 4=Moderately Crowded, 5= Very Crowded Overall satisfaction
Zehrer and Raich (2016) Zell Arena Ski resort, Tyrol, Austria Five-point scale; 1=Too many; 2=Many; 3=
Neutral; 4=Not many;
5=few visitors
Level of satisfaction, coping behavior
Shi et al. (2017) Urban Shanghai, China An original geotagged data associated with various kinds of contextual information
A sentiment analysis technique on social media text containing sentiments, and determining the polarity and strength of that sentiment
Popularity measured by Photographic attractiveness and the number of visitors
Luque-Gil et al. (2018) Sierra de las Nieves
Natural park, Spanish Mediterranean mountains
Number of persons that visitors met during the visit
Degree of perceived crowding 1=scarce; 2=acceptable; 3 =excessive
Level of satisfaction, motivation to visit the attraction
Jacobsen et al. (2019) Destinations Five-point Likert scale with the endpoints ‘very crowded’ (1) and ‘not at all crowded’ (5) Destination appraisal
Line and Hanks (2020) Restaurant industry Seven-point Likert Scale: “the restaurant was too crowded; the restaurant was busier than I would have liked; there were too many people in the restaurant” A moderator between customer servicescape and satisfaction