Can Location-Based Social Media and Online Reservation Services Tell More about Local Accommodation Industries than Open Governmental Data?

Csaba Sidor, Branislav Kršák, Ľubomír Štrba, Michal Cehlár, Samer Khouri, Michal Stričík, Jaroslav Dugas, Ján Gajdoš and Barbora Bolechová
Additional contact information
Csaba Sidor: Department of Geo and Mining Tourism, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Kosice, Slovakia
Branislav Kršák: Department of Geo and Mining Tourism, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Kosice, Slovakia
Ľubomír Štrba: Department of Geo and Mining Tourism, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Kosice, Slovakia
Michal Cehlár: Institute of Earth Resources, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Kosice, Slovakia
Samer Khouri: Institute of Earth Resources, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Kosice, Slovakia
Michal Stričík: Department of Economics, Faculty of Business Economy with Seat in Košice, University of Economics in Bratislava, Tajovského 13, 041 30 Kosice, Slovakia
Jaroslav Dugas: Department of Information and Language Communication, Faculty of Business Economy with Seat in Košice, University of Economics in Bratislava, Tajovského 13, 041 30 Kosice, Slovakia
Ján Gajdoš: Department of Geo and Mining Tourism, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Kosice, Slovakia
Barbora Bolechová: Department of Geo and Mining Tourism, Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Kosice, Slovakia

Sustainability, 2019, vol. 11, issue 21, 1-21

Abstract: The paper follows-up ongoing research focusing on the potential of machine-readable data as additional knowledge in the governance of local tourism and destination management organizations (DMOs) in Slovakia. The current focus is on one classic social media (Facebook), one location-based social media (Foursquare), two hybrid travel-related platforms with partial attributes of reservation services (Google Places, TripAdvisor), and two online reservation services (Booking, Airbnb). The global aim is the usage of extracted data for the identification of additional entities with the obligation of local occupancy taxation, which is the financial backbone of Slovak (DMOs). A set of simple and globally reusable scripts constructed in Python and PostgreSQL were used to extract data on lodging providers from the Google Places application programming interface (API), the Facebook Place Search API and the Foursquare Venue API over grid overlays of districts’ spatial representation. For pure scientific purposes in the case of Tripadvisor, Booking, and Airbnb, with no suitable access to open APIs, web scraping methods were used for data extraction. The pilot case was applied in the boundaries of Kosice city (Slovakia), and the aggregations of processed data were compared with official open statistics. Results indicate that the automated continuous monitoring of online platforms could help local public administrations in decreasing occupancy tax evasions and even widen knowledge about online audiences and visitors’ satisfaction.

Keywords: destination management; Facebook place search API; google places API; foursquare venue API; booking; TripAdvisor; Airbnb; machine readable data (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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