Simulating changes in tourism demand: a case study of two German regions

Reintinger, Christine; Berghammer, Anja; Schmude, Jürgen

doi:10.1080/14616688.2016.1169312

Cited by 14 publications

(9 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results clearly show that changes in the tourists' behaviour are not only due to unfavourable weather (e.g., lack of sunshine, precipitation), operating and climate-change-related decline in snow conditions (e.g., insufficient snow depth, lack of a snow-covered landscape), but also based on various influencing determinants (e.g., lifestyle, sociodemographic aspects). This confirms the studies of Bischof, Schmude, and Bauer (2017), Karl, Reintinger, and Schmude (2015) and Reintinger, Berghammer, and Schmude (2016) as well as the comparison of analogue study results with skier surveys (Steiger et al, 2019).…”

Section: Business As Usualsupporting

confidence: 89%

Behavioural change or “business as usual”? Characterising the reaction behaviour of winter (sport) tourists to climate change in two German destinations

Witting

Bischof

Schmude

2020

Journal of Tourism Research

Self Cite

View full text Add to dashboard Cite

Climate change affects both the supply and the demand side of winter tourism. So far, few demand‐side studies exist in the field of climate change impact research. Those investigating the tourists' behavioural response to climate change concentrated exclusively on ski tourists in various countries, except for the highly vulnerable German market. This study conducted a survey (n = 751) in two German destinations to investigate the reaction behaviour of winter tourists to climate change, differentiated according to day and overnight guests. Findings show that not only weather, snow and operating conditions determine the reaction behaviour, but also lifestyle or sociodemographic aspects.

show abstract

Section: Business As Usualsupporting

confidence: 89%

Behavioural change or “business as usual”? Characterising the reaction behaviour of winter (sport) tourists to climate change in two German destinations

Witting

Bischof

Schmude

2020

Journal of Tourism Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…The main problem raised in studies of seasonality in tourism is that tourists’ travel patterns change as a result of seasonal variations, and the factors behind such variations and changes are unclear. To date, various factors of seasonal tourist variation have been identified, such as time, associated interval (Turrión-Prats & Duro, 2017; Kastenholz & Lopes de Almeida, 2008), market segment, destination choice, and destination attributes (Reintinger et al, 2016). In addition, tourists’ choices, behaviors, and responses to seasonal trends are mostly associated with seasonality in tourism in general and with seasonal variations in tourism in particular (Rosselló & Sansó, 2017; Fernández-Morales et al, 2016; Duro, 2016; Martín et al, 2014; Nadal et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

“…Studies have shown that the flow of tourists changes across seasons and time intervals (Kastenholz & Lopes de Almeida, 2008; Turrión-Prats & Duro, 2017). Reintinger, Berghammer, and Schmude (2016) found that market segmentation in tourism undergoes continual changes due to seasonal variations. For instance, some segments of the tourist population might prefer sun and sea in one season but then switch to city and cultural tourism at another time.…”

mentioning

confidence: 99%

A Dualistic Model of Tourism Seasonality: Approach–Avoidance and Regulatory Focus Theories

Senbeto

Hon

2019

Journal of Hospitality & Tourism Research

View full text Add to dashboard Cite

Seasonality in tourism is a key but poorly understood issue in the context of the tourism industry. Furthermore, theoretical and conceptual developments regarding seasonality in tourism remain limited. This conceptual study aims to integrate approach–avoidance and regulatory focus theories as frameworks for understanding seasonality in tourism. The study’s purpose is threefold. First, it evaluates current research on seasonality in tourism. Second, it outlines the features of approach–avoidance and regulatory focus theories and their underutilization in the tourism setting. Third, it illustrates the potential of the above theories and frameworks in understanding seasonality in tourism. Also important is our development of a dualistic model to augment policymakers’ understanding of how certain factors, such as fruition-based factors, structural factors, unforeseen factors, and climate-based factors, can influence seasonality in tourism. Implications and suggestions for future research are also discussed.

show abstract

“…Divisekera (2016) indicates significant interdependencies between transport and tourism demand in Australia, New Zealand, the United States, and the United Kingdom. (c) Activities are also attractive to tourists, and tourists choose interesting destinations with more recreational activities (Heagney et al, 2018; Reintinger et al, 2016). (d) Moreover, some researchers consider that shopping is the crucial factor of tourism demand (Divisekera, 2009; Gunadhi & Boey, 1986) or at least identify it as an important part of tourism (Divisekera, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

A Study On The Influencing Factors Of Tourism Demand From Mainland China To Hong Kong

Liu¹,

Liu

Yong-lian

2020

Journal of Hospitality & Tourism Research

View full text Add to dashboard Cite

Tourism research increasingly uses search query data to forecast demand, but the literature rarely explores the mechanisms of the factors influencing demand. A time-varying parameter factor vector auto-regression model is constructed based on Baidu Index on six aspects (dining, shopping, transportation, tours, attractions, and lodging) of tourism demand from January 2011 to March 2019. The model can quantitatively and comprehensively analyze the mechanisms of tourism demand and its six important influencing factors, and can provide suggestions for subsequent planning, construction, and services in the tourism industry. The empirical results show that the relationship between the six factors and domestic tourism demand is time-varying. Dining, attractions, and shopping have a driving effect on tourism demand, and are thus stimulative factors; transportation, tours, and lodging hinder the growth of tourism demand, and are thus baffle factors.

show abstract

Simulating changes in tourism demand: a case study of two German regions

Cited by 14 publications

References 70 publications

Behavioural change or “business as usual”? Characterising the reaction behaviour of winter (sport) tourists to climate change in two German destinations

Behavioural change or “business as usual”? Characterising the reaction behaviour of winter (sport) tourists to climate change in two German destinations

A Dualistic Model of Tourism Seasonality: Approach–Avoidance and Regulatory Focus Theories

A Study On The Influencing Factors Of Tourism Demand From Mainland China To Hong Kong

Contact Info

Product

Resources

About