Determinants of tourists’ length of stay at various tourist attractions based on cellular data

Chiou, Yu Chiun; Hsieh, Chih Wei

doi:10.1080/23249935.2020.1722288

Cited by 2 publications

(1 citation statement)

References 30 publications

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“…Alegre et al (2011) concluded that the frequency of previous visits to the destination determines tourists' duration. Chiou and Hsieh (2020) also highlighted that the sequence of visitation is a significant driver of tourists' LOS. First-timers are more likely to stay for a shorter period, whereas repeaters stay longer at the destination.…”

Section: Length Of Stay In Tourismmentioning

confidence: 99%

Determinants of tourists' length of stay in cultural destination: one-night vs longer stays

Atsız

Leoni

Akova

2020

JHTI

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PurposeThis paper aims to empirically analyze tourists' length of stay in Istanbul, an important cultural destination. The objective of the study is twofold: (1) uncovering the qualitative difference between one-night visitors and longer stay visitors and (2) for those visitors staying longer at the tourism destination, investigating the key determinants of length of stay.Design/methodology/approachThis research was carried out using a self-administered questionnaire distributed to international tourists who were about to leave the destination. To perform the analysis, we applied a two-step approach: first, we opted for classical binary logit to investigate the tourists' group membership (one-night vs longer stays); second, we applied a zero-truncated Poisson model for uncovering the drivers of length of stay for longer stay visitors.FindingsThe results confirmed the structural difference between the two visitor subgroups. Moreover, we found a positive impact of cultural attributes on tourists' length of stay.Practical implicationsThe findings provide useful information for destination managers and planners, highlighting the importance of designing different tourism policies in light of tourists' heterogeneity. Moreover, the results confirmed the importance of the preservation and promotion of cultural attributes, given that these are a key factor in determining the success of a destination.Originality/valueThe importance and originality of this study are that it explores the impact of cultural/heritage attributes of the destination on tourists' length of stay. Moreover, it sheds light on the qualitative difference between short- and long-stay visitors.

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Section: Length Of Stay In Tourismmentioning

confidence: 99%

Determinants of tourists' length of stay in cultural destination: one-night vs longer stays

Atsız

Leoni

Akova

2020

JHTI

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GPS data on tourists: a spatial analysis on road networks

D’Angelo,

Abbruzzo,

Ferrante

et al. 2023

AStA Adv Stat Anal

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This paper proposes a spatial point process model on a linear network to analyse cruise passengers’ stop activities. It identifies and models tourists’ stop intensity at the destination as a function of their main determinants. For this purpose, we consider data collected on cruise passengers through the integration of traditional questionnaire-based survey methods and GPS tracking data in two cities, namely Palermo (Italy) and Dubrovnik (Croatia). Firstly, the density-based spatial clustering of applications with noise algorithm is applied to identify stop locations from GPS tracking data. The influence of individual-related variables and itinerary-related characteristics is considered within a framework of a Gibbs point process model. The proposed model describes spatial stop intensity at the destination, accounting for the geometry of the underlying road network, individual-related variables, contextual-level information, and the spatial interaction amongst stop points. The analysis succeeds in quantifying the influence of both individual-related variables and trip-related characteristics on stop intensity. An interaction parameter allows for measuring the degree of dependence amongst cruise passengers in stop location decisions.

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Determinants of tourists’ length of stay at various tourist attractions based on cellular data

Cited by 2 publications

References 30 publications

Determinants of tourists' length of stay in cultural destination: one-night vs longer stays

Determinants of tourists' length of stay in cultural destination: one-night vs longer stays

GPS data on tourists: a spatial analysis on road networks

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