Exploring length of stay: International tourism in south-western Norway

Jacobsen, Jens Kr. Steen; Gößling, Stefan; Dybedal, Petter; Skogheim, Thea Steen

doi:10.1016/j.jhtm.2018.02.003

Cited by 31 publications

(30 citation statements)

References 32 publications

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“…If LOS is reduced, more visitors will be required to maintain revenue, which will mean a greater use of transportation and, therefore, an increase in greenhouse gas emissions. Conversely, an increase in LOS will increase economic benefits without increasing environmental damage [31,38,45]. At the same time, an increase in LOS will allow tourists to abandon the usual circuits in the destination, thereby benefiting more peripheral locations [33].…”

Section: Length Of Stay: Importance and Determinantsmentioning

confidence: 99%

“…He used the ordinary least squares model, the zero-truncated negative binomial model, and the Weibull survival model. In a project focused on international tourism in south-west Norway, Reference [31] explored the aspects influencing planning LOS using a binary logistic regression, finding that perceptions of the time 'needed' for desired activities, limited holiday leave, and budgets were the most important aspects. Finally, Reference [30] analyzed the factors influencing LOS in the city of Santiago de Compostela (Spain) using five alternative Heckman selection models.…”

Section: Length Of Stay: Importance and Determinantsmentioning

confidence: 99%

“…It is clear that same-day visitors spend less than tourists and exert more pressure on the resources of natural areas. Firstly, accommodation is one of the most important expenditures of tourists in the destination, and secondly, non-overnight visitors tend to stay in central locations and visit major tourism attractions, putting pressure on resources [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

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Length of Stay and Sustainability: Evidence from the Schist Villages Network (SVN) in Portugal

2020

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There is evidence that increasing the Length of Stay (LOS) contributes to the sustainability of destinations. This paper analyzes LOS determinants in the Schist Villages Network (SVN) in Portugal, where almost half of the visitors are same-day visitors. Given that these visitors generate more environmental impacts, an increase in LOS would help guide tourism towards more sustainable standards. The analysis was performed using several Heckman selection models. Unlike the findings of previous studies, LOS depended mainly on the characteristics of the trip and the destination—not on visitor profile—and can therefore be considered a highly specific form of tourism. Comparatively, motivations associated with rest, residents’ hospitality, and local produce consumption encourage visitors to extend their stay, thereby boosting tourism sustainability. The SVN is also shown to have various cultural and heritage resources that are currently highly valued. However, the leisure offer is insufficient to increase LOS. Furthermore, conventional advertising was not shown to be effective in raising LOS compared with word-of-mouth (WOM). The paper concludes that measures should be adopted to increase the local produce offer, retain population, maintain traditional village activities, and attract visitors from nearby regions. These actions could increase overnight stays and LOS, contributing to more sustainable development.

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Section: Length Of Stay: Importance and Determinantsmentioning

confidence: 99%

Section: Length Of Stay: Importance and Determinantsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Length of Stay and Sustainability: Evidence from the Schist Villages Network (SVN) in Portugal

2020

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“…Selection of explanatory variables differ considerably across tourist trip duration models (Aguilar & Dıaz, 2019;Bhat, 2005;Jacobsen et al, 2018;LaMondia et al, 2008;Santos et al, 2015;Thrane, 2016;Van Nostrand et al, 2013;Wu et al, 2011;Yang et al, 2019;Zhang et al, 2012). Building on previous literature, and considering data availability, the following variables were included: age, household income, occupation status, trip purpose, travel party composition, Table 1.…”

Section: Explanatory Variables Selectionmentioning

confidence: 99%

Exploring the temporal travel choices: a joint modelling of how long to travel and when

Rashidi

Koo

2020

Current Issues in Tourism

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Many tourism travel decisions are interrelated. From modelling viewpoint incorporating these interrelations is important for understanding the consequences of exogenous shocks, as well as the intended and unintended consequences of policy. This paper addresses two tourist choices in the temporal dimension that were previously only handled as if they were mutually exclusive. The paper adopts a discrete-continuous model framework to simulate tourists' behaviours in selecting travel seasons (choice model) and associated trip duration (accelerated failure time model) and estimates the correlation between these two tourism decisions conditional on the covariates. The empirical analysis is based on Australian domestic tourism data and reveal the factors influencing both decisions as well as those that influence only one or the other. The model results, which is tested with data from select years between 1999-2018, including years of significant exogenous shocks, show mixed evidence of stability and changes in the parameters. Building on this evidence, the paper concludes with underlying temporal choice behaviours of tourists that may be of relevance during-and post-COVID19 environment.

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“…Analysis of publications on this topic revealed several main lines of the research. One of them is dedicated to the duration of tourists stay in Norway [12]. The other relates to the research of an image of the country by international visitors [10].…”

mentioning

confidence: 99%

Structure and geography of the inbound tourist flow distribution in Norway

Ivanov¹

2020

Pskov Region Studies Journal

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Exploring length of stay: International tourism in south-western Norway

Cited by 31 publications

References 32 publications

Length of Stay and Sustainability: Evidence from the Schist Villages Network (SVN) in Portugal

Length of Stay and Sustainability: Evidence from the Schist Villages Network (SVN) in Portugal

Exploring the temporal travel choices: a joint modelling of how long to travel and when

Structure and geography of the inbound tourist flow distribution in Norway

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