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.Book Part The Geography of Daily Urban Spatial Mobility During COVID: The Example of Stockholm in 2020 and 2021(Springer Nature Switzerland Ag, 2023) Shuttleworth, Ian; Toger, Marina; Turk, Umut; Osth, JohnArticle Citation - WoS: 9Citation - Scopus: 13Student Performance Under Asynchronous and Synchronous Methods in Distance Education: A Quasi-Field Experiment(Elsevier Sci Ltd, 2022-11) Demirtas, Burak Kagan; Turk, UmutThis study examines student performance under asynchronous and synchronous methods in a microeconomics course during COVID-19 pandemic. We conduct a quasi-field experiment in a state university in Turkey. In the experiment, students were divided into synchronous and asynchronous groups and were taught the same weekly material of microeconomics by the methods respective to their group. At the end of the week, both groups took the same multiple question test. Our results showed that asynchronous group performed significantly better than the synchronous group. While showing the comparative advantage of the asynchronous method, our study also underlines the importance of interaction between instructors and students. We discuss our findings from a socioeconomic perspective, where we argue that the flexibility that the asynchronous method offers might have compensated for the accessibility issues (internet and/or computer) during the COVID-19 outbreak. As a policy recommendation, universities can offer lectures with a recorded option to allow students to interact with the course material multiple times.Article Citation - WoS: 26Citation - Scopus: 27Socio-Economic Determinants of Student Mobility and Inequality of Access to Higher Education in Italy(Springer, 2019-02-12) Turk, UmutThis paper introduces a modified version of the Hansen-gravity model as a framework to estimate the accessibility of higher education (HE) institutions in Italy from equal opportunities perspective. The fundamental assumption underlying gravity models is that accessibility decreases with spatial distance from opportunities. The paper extends the gravity equation to include socio-economic factors influencing the access to HE. The findings reveal differences in response to quality and other institutional characteristics by parental background and gender. Finally, decomposition of overall inequality into spatial and aspatial components reveals both the physical and social distance between groups of students seeking higher education opportunities in the country.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.Editorial Modelling Place Attractiveness in the Era of Big and Open Data Introduction(Wiley, 2022-08) Osth, John; Turk, Umut; Huang, JieArticle Citation - WoS: 6Citation - Scopus: 8Introducing a Spatially Explicit Gini Measure for Spatial Segregation(Springer Heidelberg, 2023-06-14) Turk, Umut; Osth, JohnThis paper proposes an alternative measure of economic segregation by income that utilizes the Gini index as the basis of measurement. The Gini Index of Spatial Segregation (GSS) is a ratio of two Gini indices that compares the inequality between neighbourhoods to the inequality between individuals at the macro-level where neighbourhoods are nested. Unlike earlier measures of segregation found in the literature, the GSS uses individualized neighbourhoods, which can be defined as an area constituted within a radius or as a population count method around an individual geo-location, depending on the population density and proximity among individuals in the study area. The GSS can measure residential segregation by any continuous variable for both radii and k-nearest neighbours (knn with and without a decay factor) approaches to bespoke neighbourhoods. Therefore, it is sensitive to the spatial configuration of the area, easy to compute and interpret, and suitable for comparative studies of segregation over time and across different contexts. An empirical application of the index is illustrated using data from Sweden that covers the entire population for 1994, 2004, and 2014. We demonstrate how the definition and scale of the neighbourhood influence the measures of economic segregation. Overall, the GSS offers a flexible and robust framework for measuring segregation that can be used to inform policy decisions and research on inequality.Article Citation - WoS: 14Citation - Scopus: 18How Much Does Geography Contribute? Measuring Inequality of Opportunities Using a Bespoke Neighbourhood Approach(Springer Heidelberg, 2019-03-30) Turk, Umut; Osth, JohnTo what extent an individual is successful in a variety of outcomes is the result of multiple factors such as (but not limited to) parental background, level of education, discrimination and business cycles. Factors like these also indicate that the success in life can be attributable to factors that both take individual-level merits into account but also to structural factors such as discrimination and contextual effects. Over the last decades, a growing interest in decomposing and categorising factors that affect the life chances of individuals has led to the formation of inequality of opportunity as a research field. This paper builds upon this growing literature, which amounts to quantify the contribution of factors that lie beyond the control of individuals to the total inequality observed in different spheres of life. Using rich Swedish longitudinal register data, we are able to follow individuals over time and their educational attainment during upbringing and later labour market outcomes. In difference from other inequality of opportunity studies, we make use of an egocentric neighbourhood approach to integrate the socio-economic composition of the parental neighbourhood in an inequality model and illustrate its contribution to the total inequality in both outcomes quantitatively. Using multilevel regression analyses, we show that the parental neighbourhood is highly influential in educational attainment and remains so for market outcomes even years after exposure.Article Citation - WoS: 10Citation - Scopus: 11Cities as Drivers of Social Mobility(Elsevier Sci Ltd, 2021-01) Michelangeli, Alessandra; Turk, UmutThe paper studies the role of cities in enhancing intergenerational social mobility. Cities, where children grew up, can provide resources and opportunities able to increase the chance of employment and status attainment. We assess intergenerational mobility in Italy, the most immobile country in Europe together with Greece and Portugal. We use a data survey providing information on the individual-level track of Italian students' life path from high school to occupation. We merge the data survey with city-level information on socio-economic conditions. We distinguish between students who attended university in the same city where they grew up and those who migrated to another city for higher education. Upward mobility turns out to be higher in: (i) larger cities by population size; (ii) more accessible cities; (iii) cities with low income inequality and high education levels. Also social values and cultural traits play a role in enhancing upward mobility. More generally, if we look at the bundle of factors identifying the urban context, we find that the effect of factors with a positive impact on upward mobility prevails in the Northern cities while the opposite occurs in the Southern cities.