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Tamás Kovalcsik is a PhD Candidate in the Department of Economic and Social Geography at the University of Szeged, Hungary. His doctoral thesis is focusing on the spatiality of voting behaviour in an urban environment. His research interests lie in the area of geoinformatic solutions in economic and social geography, therefore he has collaborated actively with researchers in several other topics, e.g., sharing economy; P2P accommodation services; mobile cell technology and social media in mobility patterns and urban development; real estate market etc.
Despite the growing importance of mobile tracking technology in urban planning and traffic forecasting, its utilization in the understanding of the basic laws governing tourist flows remains limited. Knowledge regarding the motivations and spatial behavior of tourists has great potential in sustainable tourism studies. In this paper, we combine social media (Twitter) and mobile positioning data (MPD) in the analysis of international tourism flows in Szeged, a secondary urban center in Hungary. First, the content of geotagged and non-geotagged Twitter messages referring to Szeged in a six-month period of 2018 was analyzed. In this way specific events attracting foreign tourists were identified. Then, using MPD data of foreign SIM cards, visitor peaks in the investigated period were defined. With the joint application of the social media and mobile positioning analytical tools, we were able to identify those attractions (festivals, sport and cultural events, etc.) that generated significant tourism arrivals in the city. Furthermore, using the mixed-method approach we were also able to analyze the movements of foreign visitors during one large-scale tourism event and evaluate its hinterland. Overall, this study supports the idea that social media data should be combined with other real-time data sources, such as MPD, in order to gain a more precise understanding of the behavior of tourists. The proposed analytical tool can contribute to methodological and conceptual development in the field, and information gained by its application can positively influence not only tourism management and planning but also tourism marketing and placemaking.
Zoltán Kovács; György Vida; Ábel Elekes; Tamás Kovalcsik. Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary. Sustainability 2021, 13, 2926 .
AMA StyleZoltán Kovács, György Vida, Ábel Elekes, Tamás Kovalcsik. Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary. Sustainability. 2021; 13 (5):2926.
Chicago/Turabian StyleZoltán Kovács; György Vida; Ábel Elekes; Tamás Kovalcsik. 2021. "Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary." Sustainability 13, no. 5: 2926.
Tamás Kovalcsik; Balázs Szabó; György Vida; Lajos Boros. AREA-BASED AND DASYMETRIC POINT ALLOCATION INTERPOLATION METHOD FOR SPATIAL MODELLING MICRO-SCALE VOTER TURNOUT IN BUDAPEST. Geographia Technica 2021, 16, 67 -77.
AMA StyleTamás Kovalcsik, Balázs Szabó, György Vida, Lajos Boros. AREA-BASED AND DASYMETRIC POINT ALLOCATION INTERPOLATION METHOD FOR SPATIAL MODELLING MICRO-SCALE VOTER TURNOUT IN BUDAPEST. Geographia Technica. 2021; 16 (1):67-77.
Chicago/Turabian StyleTamás Kovalcsik; Balázs Szabó; György Vida; Lajos Boros. 2021. "AREA-BASED AND DASYMETRIC POINT ALLOCATION INTERPOLATION METHOD FOR SPATIAL MODELLING MICRO-SCALE VOTER TURNOUT IN BUDAPEST." Geographia Technica 16, no. 1: 67-77.
COVID-19 pandemic starting at the end of 2019, hit hard tourism and hospitality industries throughout the world. As a part of the processes, the most popular P2P accommodation service, the Airbnb also faced a rapid drop in bookings. This study explores and compares the effects of the first wave of the pandemic on the Airbnb markets of 15 cities. The analysis is based on the data retrieved from Insideairbnb.com. Booking trends are compared between 2019 and 2020 and a day-to-day analysis of occupancy rates during the first months of 2020 is also performed. Special attention was paid to the effects of pandemic on different price categories of listings. The results show that the evolution of local pandemic situation had the most significant impact on bookings and occupancy rates in the investigated cities. The characteristics of local markets and the pandemic and economic situation of sending countries had also great influence on the bookings and cancellations. In addition, in some cases the cancellations did not affect the reservations made for the later periods, meaning that tourists hoped for a quick recovery. The effect on price categories was also different from one location to another. The study provides empirical insights to the effects of the disease on P2P accommodations. Furthermore, the future of short-term rentals is also discussed briefly.
Lajos Boros; Gábor Dudás; Tamás Kovalcsik. The effects of COVID-19 on Airbnb. Hungarian Geographical Bulletin 2020, 69, 363 -381.
AMA StyleLajos Boros, Gábor Dudás, Tamás Kovalcsik. The effects of COVID-19 on Airbnb. Hungarian Geographical Bulletin. 2020; 69 (4):363-381.
Chicago/Turabian StyleLajos Boros; Gábor Dudás; Tamás Kovalcsik. 2020. "The effects of COVID-19 on Airbnb." Hungarian Geographical Bulletin 69, no. 4: 363-381.
Tamás Kovalcsik; Ntombifuthi Precious Nzimande. Theories of the voting behaviour in the context of electoral and urban geography. Belvedere Meridionale 2019, 31, 207 -220.
AMA StyleTamás Kovalcsik, Ntombifuthi Precious Nzimande. Theories of the voting behaviour in the context of electoral and urban geography. Belvedere Meridionale. 2019; 31 (4):207-220.
Chicago/Turabian StyleTamás Kovalcsik; Ntombifuthi Precious Nzimande. 2019. "Theories of the voting behaviour in the context of electoral and urban geography." Belvedere Meridionale 31, no. 4: 207-220.
Tamás Kovalcsik; György Vida; Gábor Dudás. Az országgyűlési választókerületek kompaktságának elemzése Magyarországon. Területi Statisztika 2019, 59, 188 -218.
AMA StyleTamás Kovalcsik, György Vida, Gábor Dudás. Az országgyűlési választókerületek kompaktságának elemzése Magyarországon. Területi Statisztika. 2019; 59 (2):188-218.
Chicago/Turabian StyleTamás Kovalcsik; György Vida; Gábor Dudás. 2019. "Az országgyűlési választókerületek kompaktságának elemzése Magyarországon." Területi Statisztika 59, no. 2: 188-218.
Gábor Dudás; Lajos Boros; Tamás Kovalcsik; Balázs Kovalcsik. The visualization of the spatiality of Airbnb in Budapest using 3-band raster representation. Geographia Technica 2017, 12, 23 -30.
AMA StyleGábor Dudás, Lajos Boros, Tamás Kovalcsik, Balázs Kovalcsik. The visualization of the spatiality of Airbnb in Budapest using 3-band raster representation. Geographia Technica. 2017; 12 (1):23-30.
Chicago/Turabian StyleGábor Dudás; Lajos Boros; Tamás Kovalcsik; Balázs Kovalcsik. 2017. "The visualization of the spatiality of Airbnb in Budapest using 3-band raster representation." Geographia Technica 12, no. 1: 23-30.
Gábor Dudás; György Vida; Tamás Kovalcsik; Lajos Boros. A socio-economic analysis of Airbnb in New York City. Regional Statistics 2017, 7, 135 -151.
AMA StyleGábor Dudás, György Vida, Tamás Kovalcsik, Lajos Boros. A socio-economic analysis of Airbnb in New York City. Regional Statistics. 2017; 7 (1):135-151.
Chicago/Turabian StyleGábor Dudás; György Vida; Tamás Kovalcsik; Lajos Boros. 2017. "A socio-economic analysis of Airbnb in New York City." Regional Statistics 7, no. 1: 135-151.