Understanding how Amsterdam City tourism marketing addresses cruise tourists’ motivations regarding culture

Dai, Tianchen; Hein, Carola; Zhang, Tong

doi:10.1016/j.tmp.2018.12.001

Cited by 49 publications

(29 citation statements)

References 56 publications

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“…This is likely because cruise research, as well as tourism studies overall, lack an overarching theme and a clear hypothetical outline [28]. Furthermore, works in relation to cruise tourism have paid attention to different topics-for instance, tourist satisfaction [29] and port experiences [30] as well as their motivations [31][32][33], antecedents of visitors' experience at a cruise destination [34], the service supply chain [35], the undesirable environmental effects of cruise tourism in different regions [36,37], host countries' perceptions of the cruise industry [38] and security concerns [37]. Much of the previous literature on cruises' perceived service quality is based on traditional pen and pencil questionnaires that measure perceived service quality.…”

Section: Service Quality In the Cruise Industrymentioning

confidence: 99%

Cruise Travelers’ Service Perceptions: A Critical Content Analysis

2020

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This paper examines the main elements of online reviews left by popular cruise ships’ travelers. The eight most popular cruise ships were selected. We aimed to pinpoint the service quality experiential perceptions of cruise travelers regarding their higher or lower value for money ratings. Leximancer 4.5 software was used to derive the linkage and co-occurrence between service concepts in the online narratives of 2000 guests from Cruisecritic.com. The evaluation showed 10 areas addressed by the descriptions of the cruise’s perceived quality. These are “ship,” “staff,” “food,” “entertainment,” “room,” “area,” “embarkation,” “excursion” “disembarkation,” and “port.” Furthermore, the results highlight themes like “ship,” “staff,” “food,” “entertainment,” “room,” and “area” as belonging to the high-satisfaction group (excellent/very good), while “embarkation,” “disembarkation,” “excursion,” and “port” belong to the low-satisfaction group (poor/terrible). The study offers useful insights into cruise travelers’ general perceived experience according to user-generated content, and enables the identification of the main themes associated with different satisfaction groups.

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Section: Service Quality In the Cruise Industrymentioning

confidence: 99%

Cruise Travelers’ Service Perceptions: A Critical Content Analysis

2020

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“…Winter [29] also analyzed the influence of motivations and concluded, for example, that tourists who stated an interest in culture were more likely to enjoy the cultural resources of a destination. In addition, Dai, Hein, and Zhang [30] also pointed to tourists being interested in local culture as a key element to explain tourists' behavior, as these type of tourists have particular and different interests.…”

Section: Literature Reviewmentioning

confidence: 99%

Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions

Padrón‐Ávila

Martín

2019

Sustainability

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Popular tourism destinations based on specific attractions along with coastal and island destinations have been considered potential candidates to suffer from overtourism. In this context, in-depth knowledge of the determinants of tourists’ choices of attractions can be used to improve policies against crowding. This paper analyzes why tourists decide to visit certain attractions instead of others in the context of an island destination with sustainability concerns. To do so, discrete choice models are used to determine if a set of 96 variables can explain why 11 attractions are visited on the island of Lanzarote. The results show that 86 variables are significant to explain visits to at least one of the attractions. The analysis also identifies both similarities and differences on the effects these variables have on the probability of visiting each of the 11 attractions. These results are useful to cluster attractions depending on the profile of those tourists most likely to visit them and to cluster variables regarding their effect on visiting attractions. Furthermore, the results provide useful information for public and private managers involved in evenly reallocating tourist flows in time and space to avoid the negative impacts of overtourism.

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“…Museums are regarded as potential drivers for attraction in urban tourism [1] and urban economy [2]. As a culturally rich city, Amsterdam has more than 70 museums within its inner-city ring, attracting millions of tourists each year [3].…”

Section: Introductionmentioning

confidence: 99%

Employing waterborne autonomous vehicles for museum visits: a case study in Amsterdam

Rong

Duarte

et al. 2020

Eur. Transp. Res. Rev.

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Amsterdam is a culturally rich city attracting millions of tourists. Popular activities in Amsterdam consist of museum visits and boat tours. By strategically combining them, this paper presents an innovative approach using waterborne autonomous vehicles (WAVs) to improve the museum visitation in Amsterdam. Multi-source urban data including I Amsterdam card data and Instagram hashtags are used to reveal museum characteristics such as offline and online popularity of museums and visitation patterns. A multi-objective model is proposed to optimize WAV routes by considering museum characteristics and travel experiences. An experiment in the Amsterdam Central area was conducted to evaluate the viability of employing WAVs. By comparing WAVs with land transportation, the results demonstrate that WAVs can enhance travel experience to cultural destinations. The presented innovative WAVs can be extended to a larger variety of points of interest in cities. These findings provide useful insights on embracing artificial intelligence in urban tourism.

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Understanding how Amsterdam City tourism marketing addresses cruise tourists’ motivations regarding culture

Cited by 49 publications

References 56 publications

Cruise Travelers’ Service Perceptions: A Critical Content Analysis

Cruise Travelers’ Service Perceptions: A Critical Content Analysis

Preventing Overtourism by Identifying the Determinants of Tourists’ Choice of Attractions

Employing waterborne autonomous vehicles for museum visits: a case study in Amsterdam

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