WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Citation - WoS: 1Citation - Scopus: 3Effects of External Shocks on the AirBNB Market - Modeling Business Survival Using Geocoded Open Data(Routledge Journals, Taylor & Francis Ltd, 2024-12-11) Turk, Umut; Osth, John; Kourtit, Karima; Nijkamp, PeterThis paper seeks to trace the determinants of business survival in the Airbnb market during the latest pandemic. The paper starts with an examination of the key factors determining survival rates of accommodation listings in the Airbnb market during the early shock phase of the pandemic. The analysis is carried out for 10 metropolitan cities all over the world in both 2019 and 2020, so as to investigate the differences in survival probabilities between the pre- and early-pandemic period. We also study the dynamics of the Airbnb market in the late pandemic period using a multinomial logistic regression model. The results show similar patterns as the pre- and early-pandemic periods, indicating a tendency to return to a pre-pandemic state. In particular, in the pandemic time analyses, distance to nature appeared to be positively associated with firm survival, suggesting the importance of a healthy environment for attracting guests during this period. The findings contribute to our understanding of the effects of the pandemic on short-term rental and highlight the role of various critical background factors.Article Citation - WoS: 5Citation - Scopus: 5Cyclists as Intelligent Carriers of Space-Time Environmental Information: Crowd-Sourced Sensor Data for Local Air Quality Measurement and Mobility Analysis in the Netherlands(Routledge Journals, Taylor & Francis Ltd, 2023-03-30) Kourtit, Karima; Nijkamp, Peter; Osth, John; Turk, UmutIn recent years, slow travel modes (walking, cycling) have gained much interest in the context of urban air quality management. This article presents the findings from a novel air quality measurement experiment in the Netherlands, by regarding cyclists as carriers and transmitters of real-world information on fine-grained air quality conditions. Using individual sensors on bicycles-connected to a GPS positioning system-online local pollution information originating from cyclists' detailed spatial mobility patterns is obtained. Such air quality surface maps and cyclists' mobility maps are then used to identify whether there are significant differences between the actual route choice and the cyclists' shortest route choice, so as to identify the implications of poor air quality conditions for their mobility choices. Thus, the article seeks to present both a detailed pollution surface map and the complex space-time mobility patterns of cyclists in a region, on the basis of online quantitative data-at any point in time and space-from bicycle users in a given locality. In addition, the article estimates their response-in terms of route choice-to detailed air-quality information through the use of a novel geoscience-inspired analysis of space-time "big data." The empirical test of our quantitative modeling approach was carried out for the Greater Utrecht area in the Netherlands. Our findings confirm that spatial concentration of air pollutants have great consequences for bike users' route choice patterns, especially in the case of non-commuting trips. We also find that cyclists make longer trips on weekends and in the evenings, especially towards parks and natural amenities.