Bende Alexandra Barbara (2020) Comparing the impacts of overtourism in Barcelona and Venice. Kereskedelmi, Vendéglátóipari és Idegenforgalmi Kar.
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Comparing the impacts of overtourism in Barcelona and Venice.pdf Hozzáférés joga: Csak nyilvántartásba vett egyetemi IP címekről nyitható meg Download (7MB) |
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Comparing the impacts of overtourism in Barcelona and Venice.pdf Hozzáférés joga: Csak nyilvántartásba vett egyetemi IP címekről nyitható meg Download (7MB) |
Absztrakt (kivonat)
The dissertation - Comparing the impacts of overtourism in Barcelona and Venice - aims to create a complete overview on how Instagram influences tourism trends in the above mentioned cities. Over the last decade the globe has seen an unprecedented extension over the realms of internet. Social media became part of our everyday life and shapes it ever since. How we eat, dress, think, communicate, how we behave – all these are affected at least by one social media platform. In this dissertation, I intend to investigate how our traveling habits have been affected. The research paper begins with a short introduction, following by a reasoning towards the topic and establishes its actuality. It also creates the framework for our research questions and hypotheses: 1.! Instagram does have a visible effect on tourism. 2.! Instagram creates a clearly and scientifically researchable set of metadata. These hypotheses are accompanied by six research questions aimed to be answered. The second chapter will provide an overview of the methodology, including approach, philosophy, strategy, design, data as well as limits and opportunities. The methodology chapter is followed by the review of literature and related works in the subject. Here, I aim to create a short description on what other studies had been conducted in the topic and a high-level overview on what are their conclusions. The third chapter contains the dataset description where the core parts of the study takes place. The analysis of Barcelona and Venice will be performed separately using slightly different methodologies due to the inherent administrative differences, such as the word to vector equation (W2V) and the image classification framework (ICF), respectively. We grant the comparability via focusing the textual analysis on the most frequent words. As Barcelona is divided into districts, the analysis will be performed on the most frequently used words associated with each district. Venice on the other hand is not divided into districts, at least not on the level of tourism, therefore the focus will be kept on the most frequent words, a vectoral trend (word to vector equation just as what we use for Barcelona) and over-time trend. The visual analysis for both cities contains the most frequent image types as well as heatmaps on districts in Barcelona and the heatmap of Venice based on the most frequent words. Two case studies are present in the research as well. An overview on a very interesting movement and its presence on Instagram related to Barcelona: the so called ‘tourists go home’ trend. This case study does not wear the quantitative uniform and structure, but it is indeed interesting to study and is vastly related to the topic. In the case of Venice, the trending words and phrases during and after the Venice carnival will be studied, based on the metadata made publicly available following the 2015 Venice carnival. The summary draws line on answering the questions posed by the two hypotheses. It holistically creates an overview of the thesis, giving and opportunity to the researcher to create any professional opinion on the research.
Intézmény
Budapesti Gazdasági Egyetem
Kar
Kereskedelmi, Vendéglátóipari és Idegenforgalmi Kar
Tanszék
Turizmus Tanszék
Tudományterület/tudományág
NEM RÉSZLETEZETT
Szak
Turizmus-vendéglátás (angol nyelven)
Mű típusa: | diplomadolgozat (NEM RÉSZLETEZETT) |
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Kulcsszavak: | Barcelona, Social media, Tourism development, overtourism, tourism |
SWORD Depositor: | Archive User |
Felhasználói azonosító szám (ID): | Brakszatoriszné Jankó Tímea |
Rekord készítés dátuma: | 2020. Júl. 06. 13:27 |
Utolsó módosítás: | 2020. Szep. 22. 09:27 |
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