Search results for " destinations"
showing 10 items of 35 documents
Segmentation of low-cost flights users at secondary airports
2010
Abstract Low-cost carrier services are important for many tourist destinations. However, there is little information about the characteristics of travellers using low-cost airlines, and their flight preferences. The typical segmentation of air travellers is business versus leisure travellers; and business versus tourist fares. We use segmentation analysis focusing on low-cost travellers’ valuations of various flight attributes and trip-related characteristics, most notably those related to destinations, based on a sample of foreign travellers who used Girona Airport, Spain.
Why do People Attend Sport Events at Mature Tourist Destinations? An Analysis of Visitors’ Motivation to Attend the Windsurf World Cup on Sylt
2016
Abstract Introduction. Sport events have become a popular tool for the marketing of tourist destinations. In this regard, it has to be kept in mind that the effects events can generate for destinations largely depend on the motivation of the attendees. Building on this insight, the aim of this paper is to compare the motivational structures of two types of visitors (primary purpose event visitors and casual visitors) to the German island of Sylt during a Windsurf World Cup. This event-destination combination was chosen because it represents the tendency for popular tourist resorts to use small-scale sport events in their marketing efforts. Material and methods. The research was conducted us…
@DMOs Promote Hotel Occupancy in Tourist Destinations: An Abstract
2017
Destination marketing organizations (DMOs) are aware of Twitter’s relevance, and they have now integrated Twitter into their own websites (Luna-Nevarez and Hyman 2012). Because of their growing practical importance, social media have become strong allies for tourism destinations. Social media are used by both tourists and providers (Leung et al. 2013), so research is needed to show social media’s direct contribution to the tourism sector. To improve our knowledge of the effect of social media in tourism, this study examines how DMOs’ use of Twitter affects hotel occupancy in tourist destinations. Our conceptual framework presents a model of the links between predictors of tourist occupancy …
The affective impact of sightseeing bus tour experiences:using Affective Events Theory (AET) to examine length-of-stay and electronic word-of-mouth
2022
This study investigates the key components and influences of positive affect and electronic word-of-mouth (eWOM) on tourist visits at two developing urban destinations, namely Birmingham, United Kingdom and Valencia, Spain. These two data collection sites yielded evidence gathered from 627 and 615 sightseeing bus tourists, respectively. Through the analytic lens of Affective Events Theory (AET), data was examined, and results verify the significant mediating role of affect in two regards: (1) tourists’ decision to extend their visits, and (2) eWOM of sightseeing bus tour experiences. The moderating role of past sightseeing experiences in these relationships was also supported by the data an…
Evaluating the Regional Impact of a New Road on Tourism
2004
Ferri J. (2004) Evaluating the regional impact of a new road on tourism, Reg. Studies 38, 409–418. The aim of this work is to establish whether the opening of a motorway that extends along the east coast of Spain has significantly contributed to expanding hotel tourism in the Valencia region. Some of the most important tourist destinations in Spain, both domestic and international, are located in this region, such as Benidorm, Peniscola and Gandia. The A-7 motorway, also part of the E-15 road network, is not only a faster and safer means of road communication for tourists but also provides a new gate to Europe, connecting with other motorways. Using monthly data on nights spent in hotels by…
Is the tourism–economic growth nexus time-varying? Bootstrap rolling-window causality analysis for the top 10 tourist destinations
2017
This article explores the time-varying causal nexus between tourism development and economic growth for the top 10 tourist destinations in the world, namely China, France, Germany, Italy, Mexico, t...
Sentiment Analysis of Twitter in Tourism Destinations
2020
[EN] Given the importance of electronic word of mouth (eWOM), this paper analyses the content of messages generated by users related to a tourist destination and shared through Twitter. We propose three research questions regarding eWOM behaviour in Twitter focused on the expertise of the reviewer, sentiment analysis of a tweet and its content.In order to address those research questions we carry out text mining analysis by retrieving existing information on Twitter (over 1500 tweets) regarding to Venice as a tourist destination.
The atractiveness and competitiveness of tourist destinations: A study on Southern Italian regions
2009
The present paper aims to assess the relative attractiveness of competing tourist destinations on the basis of individual visitors' perceptions regarding a holiday destination. Using the feeling of tourist well-being achieved by individual tourists we evaluate indirectly the competitive ability of the tourist area to offer a compound tourist site attractiveness. The methodology employed here uses individual survey questionnaires on the tourists' evaluation of the quality of tourist facilities and attributes in a given area (the 'regional tourist profile') as the basis for constructing an aggregate expression for the relative attractiveness of that area. Using various multidimensional statis…
Efficiency and Productivity of Italian Tourist Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquidt Method
2006
This paper aims to provide a statistical analysis of the relative economic performance of Italian tourist areas. It uses two modelling approaches to estimate the competitiveness of these regions, viz. data envelopment analysis (DEA) and the Malmquist method. Our results show that the competitiveness position of several Italian regions has not improved over the years under consideration.
Efficiency and Productivity of Italian Touris Destinations: A Quantitative Estimation Based on Data Envelopment Analysis and the Malmquist Method
2007
This paper aims to provide a statistical analysis of the relative economic performance of Italian tourist areas. It uses two modelling approaches to estimate the competitiveness of these regions, viz. data envelopment analysis (DEA) and the Malmquist method. Our results show that the competitiveness position of several Italian regions has not improved over the years under consideration.