2018
DOI: 10.1051/e3sconf/20185304031
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Research on the Tourists’ Type and Behavior based on the Fog and Haze Perception: Taking Xi’an as a Case

Abstract: Under the background of tourism affected by the fog and haze, this study takes Xi’an as a case, focuses on the tourists’ type and behavior, and forms the following conclusions. The tourist can be divided into blunt type, normal type and sensitive type based on the perception to the fog and haze. The blunt type has demographics of male, elderly people, lower educated, low income, and from the North of China. The sensitive type has demographics of female, single, middle-aged, higher educated, and from the South … Show more

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Cited by 3 publications
(5 citation statements)
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“…Moreover, some studies simultaneously use primary and secondary data sources to drive reliable conclusions, merging experiments or questionnaires with secondary data. At least Hipp and Ogunseitan (2011), Jun-hui (2018) and Pant et al (2018) simultaneously use primary and secondary data. To study visitors’ perceptions of AQ or to infer about the impact of air pollution on tourism, the joint use of questionnaires and evaluations collected from well-known travelling opinion surveys (such as in TripAdvisor; Saura et al , 2018) can be particularly efficient and practical.…”
Section: Resultsmentioning
confidence: 99%
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“…Moreover, some studies simultaneously use primary and secondary data sources to drive reliable conclusions, merging experiments or questionnaires with secondary data. At least Hipp and Ogunseitan (2011), Jun-hui (2018) and Pant et al (2018) simultaneously use primary and secondary data. To study visitors’ perceptions of AQ or to infer about the impact of air pollution on tourism, the joint use of questionnaires and evaluations collected from well-known travelling opinion surveys (such as in TripAdvisor; Saura et al , 2018) can be particularly efficient and practical.…”
Section: Resultsmentioning
confidence: 99%
“…A deep analysis of the results reveals that good AQ is likely to have a positive influence on travel behaviour, travel intention and destination choice (Bohm and Pfister, 2011; Becken et al , 2017; Hill et al , 2000; Jun-hui, 2018; Law and Cheung, 2009; Zhang et al , 2015; Zhu, 2018). This corroborates part of the findings of the literature review undertaken by Zajchowski et al (2018) on the effects of good AQ on human behaviour.…”
Section: Resultsmentioning
confidence: 99%
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“…As already mentioned, little is known about the influence of AQ on travel planning. A small number of studies were published (Becken et al, 2017;Hill et al, 2000;Jun-Hui, 2018;McKercher et al, 2015;Peng & Xiao, 2018;Saura et al, 2018;Wang et al, 2018;Wu et al, 2018;Zajchowski et al, 2018;Zhang et al, 2015) examining the impact of AQ on destination image, visitors' satisfaction, intention to return and travel behaviour, with some of this research providing relevant insights on the potential importance of AQ in travel planning. Results mention that AQ exerts a very important role in the visitors' consumption behaviour, leading to the expectation that AQ will also be highly relevant when the visitors plan tourism trips.…”
Section: The Relevance Of Aq In the Travel Planning Processmentioning
confidence: 99%
“…Those who travel to destinations with a bad AQ notoriety are often obligated to choose activities less exposed to air pollutants (e.g. indoor activities such as shopping), as observed by McKercher et al (2015), or to shorten their stay due to their lower predisposition to stay in a polluted environment (Jun-Hui, 2018). Additionally, when confronted with air pollution episodes during their travel experience, visitors tend to evaluate it negatively (Li et al, 2016;McKercher et al, 2015) and show less propensity to return in the future (Hill et al, 2000).…”
Section: Introductionmentioning
confidence: 99%