WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394

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Access Right: Closed AccessSubject: search.filters.subject.Multilevel Models

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  • Article
    Citation - WoS: 22
    Citation - Scopus: 31
    The Path of Least Resistance Explaining Tourist Mobility Patterns in Destination Areas Using AirBNB Data
    (Elsevier Sci Ltd, 2021-06) Turk, Umut; Osth, John; Kourtit, Karima; Nijkamp, Peter
    Destination attractiveness research has become an important research domain in leisure and tourism economics. But the mobility behaviour of visitors in relation to local public transport access in tourist places is not yet well understood. The present paper seeks to fill this research gap by studying the attractiveness profile of 25 major tourist destination places in the world by means of a 'big data' analysis of the drivers of visitors' mobility behaviour and the use of public transport in these tourist places. We introduce the principle of 'the path of least resistance' to explain and model the spatial behaviour of visitors in these 25 global destination cities. We combine a spatial hedonic price model with geoscience techniques to better understand the place-based drivers of mobility patterns of tourists. In our empirical analysis, we use an extensive and rich database combining millions of Airbnb listings originating from the Airbnb platform, and complemented with TripAdvisor platform data and OpenStreetMap data. We first estimate the effect of the quality of the Airbnb listings, the surrounding tourist amenities, and the distance to specific urban amenities on the listed Airbnb prices. In a second step of the multilevel modelling procedure, we estimate the differential impact of accessibility to public transport on the quoted Airbnb prices of the tourist accommodations. The findings confirm the validity of our conceptual framework on 'the path of least resistance' for the spatial behaviour of tourists in destination places.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 3
    Social Mobility and Pro-Government Mobilization: The Case of July 15th Pro-Government Mobilization in Turkey
    (Routledge Journals, Taylor & Francis Ltd, 2021-12-23) Teke-Lloyd, Fatma Armagan; Turk, Umut; Ozgur Donmez, Rasim
    What are the economic determinants of pro-government mobilizations? While recent studies have contributed to our understanding of the relationship between a defined set of economic variables and political unrest - including revolts, riots, and uprisings against the status quo - there has been relatively little attempt to understand how these models might apply to demonstrations in support of the existing regime, which remain an understudied phenomenon within the literature. The coup attempt, which took place in Turkey on 15 July 2016 and was organized by a religious movement within the Turkish military, led to widespread public protests which ultimately succeeded in overcoming the threat. This case affords us a valuable opportunity to study the phenomenon of pro-government mobilization and its political and economic underpinnings. By applying the theoretical contributions of the already well-established literature on social mobility, we argue that higher earnings, economic equality and social mobility will foster a greater likelihood of mass mobilizations in support of the regime. Our study contributes to the literature theoretically by extending the scope of the existing theories on mass mobilization and empirically by examining a rare case of pro-government mobilization in Turkey by using individual and regional level datasets.