WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Citation - WoS: 22Citation - Scopus: 31The 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, PeterDestination 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: 4Citation - Scopus: 3Social 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, RasimWhat 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.Article Citation - WoS: 3Citation - Scopus: 3Intergenerational Income Mobility in Sweden: A Look at the Spatial Disparities Across Municipalities(Wiley, 2022-08) Michelangeli, Alessandra; Osth, John; Turk, UmutThis paper provides a comprehensive overview of intergenerational income mobility in Sweden. Intergenerational income mobility is considered in both relative and absolute terms, and the analysis is carried out at the individual and municipality level. We use multilevel models to explore the correlation between upward mobility and social, economic and demographic characteristics of cities. We account for a wider set of local characteristics, such as the spatial distribution of income inequality within city and housing affordability that have not been considered by previous studies analysing social mobility in the United States or other European countries. The analyses are carried out on three subpopulations: off-spring who live in a different municipality than their parents (spatial mobile population); offspring who live in the municipality where they grew up (spatial immobile population); off-spring belonging to visible minority groups. Our results show substantial differences across municipalities, meaning that the particular combination of municipality attributes contributes to shaping the chance of status attainment among young generations. Highly mobile municipalities have more significant human capital, more residential segregation by income, more local levels of income inequality, and greater accessibility to jobs. The results indicate that dependence on parents' support and network for upward mobility is of less importance, and that spatial mobility (regardless of background) especially to larger urban areas is associated with upward mobility for the children.Article Citation - WoS: 3Citation - Scopus: 4A Multilevel Analysis of the Contextual Effects in Distance Education Outcomes During COVID-19(Univ Alexandru Ioan Cuza, Centrul Studii Europene, 2021) Turk, UmutThe COVID-19 outbreak has forced countries to take extensive measures aimed at minimizing human contact. In this crisis period, distance education has played a crucial role in ensuring continuous learning. However, not all locations have had the same maturity level regarding infrastructure availability, and the city-level heterogeneity in socioeconomic structures might have impeded equal access to distance education. This paper focuses on the contextual dimension of distance education by a comparative approach between in person and distance education outcomes in Turkey. By a multilevel modelling approach, student outcomes are examined against a set of student-level and city-level determinants of academic success during the COVID-19 period compared to the same academic semester in the previous year. The findings support previous studies, discussing the long-term contextual effects on student outcomes and show that the digital divide between the rural and urban areas and income inequality are the main drivers of city-level variation in students' success during the pandemic.