Synchronisation among short-term rental markets, co-movements and cycles in 39 European cities

Paz, Paloma Taltavull de La; Sánchez, Raul Pérez; Tárraga, Francisco Juárez; Mora, Eloisa Norman; Su, Zhenyu

doi:10.1016/j.cities.2022.104148

Cited by 3 publications

(1 citation statement)

References 58 publications

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“…Shared accommodation is also an illustration of the sharing economy within the tourism sector [12]. It exhibits a clear festival effect on key performance indicators such as "occupancy rate" and "room rate" [13]. This sector is distinctly affected by peak times, such as major festivals and regular weekends, which we define in our study to examine their impacts on pricing strategies.…”

Section: Introductionmentioning

confidence: 99%

Peak-Season Price Adjustments in Shared Accommodation: The Role of Platform-Certified Signals and User-Generated Signals

Wang,

Liu,

et al. 2024

JTAER

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This study investigates the factors influencing landlords’ price adjustments during peak seasons on accommodation-sharing platforms, focusing on the role of platform-certified and user-generated signals. Utilizing a comprehensive dataset of 11,795 observations from a leading Chinese accommodation-sharing platform, we employ binary logit models to investigate how these signals affect landlords’ pricing strategies during “festival” and “weekend” peak times. Our analysis reveals that both platform-certified signals (such as “Preferred House” badges) and user-generated signals (such as customer satisfaction ratings) significantly increase the probability and magnitude of price adjustments during both festival and weekend peak seasons. Specifically, houses with a “Preferred” status are up to 28 times more likely to have price hikes during weekends compared to non-preferred ones. Further analysis reveals that higher levels of landlord professionalism, measured by the number of properties managed, amplifies the impact of user-generated signals on both the probability and magnitude of price adjustments. However, as the level of professionalism increases, this effect diminishes, indicating that highly professional landlords may have less flexibility to adjust prices due to already-high baseline rates. Interestingly, landlord professionalism did not significantly influence the impact of platform-certified signals on price adjustments, suggesting that the influence of such signals remains consistent across different levels of landlord professionalism. These results underscore the significant roles that both types of signals and landlord professionalism play in shaping pricing strategies, offering valuable insights for platform management and policy formulation aimed at enhancing consumer trust and competitive dynamics in the sharing economy.

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Section: Introductionmentioning

confidence: 99%

Peak-Season Price Adjustments in Shared Accommodation: The Role of Platform-Certified Signals and User-Generated Signals

Wang,

Liu,

et al. 2024

JTAER

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Spatial Correlation between Urban Planning Patterns and Vulnerability to Flooding Risk: A Case Study in Murcia (Spain)

García-Ayllón

Franco

2023

Land

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Cities in the Spanish Mediterranean regions have undergone an extensive process of urban growth in recent decades. This urban transformation has often failed to consider the variable of flooding in its planning. Such a situation, combined with the current meteorological changes derived from climate change phenomena that increasingly cause less frequent but more extreme rainfall events in this part of the planet, has caused a sharp increase in the vulnerability of many urban areas against flooding. This research aims to analyze, from a spatiotemporal approach, in the case study of Murcia, a Mediterranean city in southeastern Spain, the existing spatial statistical correlation between urban planning patterns of growth of the city and the increase in risk due to its current vulnerability to flooding. Using GIS-based multivariate indicators and geostatistical analysis, the behavior patterns of said correlation will be numerically evaluated, and possible future trends and scenarios for this problem will be raised.

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Short-Term Rentals in the Tourism Sector

Renda,

de Almeida

2024

Advances in Hospitality, Tourism, and the Services Industry

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This chapter presents a comprehensive analysis of short-term rentals (STRs) in the context of tourism, based on a systematic literature review (SLR) of the past six years. The review, conducted using the PRISMA tool and focusing on European studies, offers a deep understanding of the topic and instils confidence in the research findings. The review of 98 articles from 67 journals published between 2018 and the end of 2023 reveals a significant increase in the number of papers, covering a wide range of theories, practices, methods, and results. The study categorises the significant topics identified, such as economic and socio-cultural impacts, competitiveness, and resilience of destinations, across various dimensions of the subject areas. It also underscores the need for further analysis and explores direct linkages between STRs and tourism, providing new future directions aligned with emerging travel trends on tourism demand, which could significantly shape the future of the tourism sector.

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Synchronisation among short-term rental markets, co-movements and cycles in 39 European cities

Cited by 3 publications

References 58 publications

Peak-Season Price Adjustments in Shared Accommodation: The Role of Platform-Certified Signals and User-Generated Signals

Peak-Season Price Adjustments in Shared Accommodation: The Role of Platform-Certified Signals and User-Generated Signals

Spatial Correlation between Urban Planning Patterns and Vulnerability to Flooding Risk: A Case Study in Murcia (Spain)

Short-Term Rentals in the Tourism Sector

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