Journal articles on the topic 'Short-term rental platforms'

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1

Li, Yingna, and Pengfei Ma. "Optimal Pricing and Service Investment of Home-Sharing Platforms in a Duopoly Market." Mathematical Problems in Engineering 2021 (December 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/3104478.

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In this paper, we construct a fully covered duopoly market model. In this market, two home-sharing platforms provide differentiated rental services to consumers, respectively, and each platform has two strategies: short-term rental strategy and long-term rental strategy. This paper studies the pricing decisions and service investment of home-sharing platforms in a competitive market. The results show that, in the market equilibrium, how the platform chooses the strategy largely depends on the service quality of competitors. Specifically, when the difference in service quality is small, it is better for the two platforms to adopt the short-term rental strategy; otherwise, the two platforms are more inclined to adopt the long-term rental strategy. We also find that the commission rate and service cost will also affect the profitability of the platform. Finally, we extend the model to the uncovered market.
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Shokoohyar, Sina, Ahmad Sobhani, and Anae Sobhani. "Determinants of rental strategy: short-term vs long-term rental strategy." International Journal of Contemporary Hospitality Management 13, no. 12 (November 2, 2020): 3873–94. http://dx.doi.org/10.1108/ijchm-03-2020-0185.

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Purpose Short-term rental option enabled via accommodation sharing platforms is an attractive alternative to conventional long-term rental. The purpose of this study is to compare rental strategies (short-term vs long-term) and explore the main determinants for strategy selection. Design/methodology/approach Using logistic regression, this study predicts the rental strategy with the highest rate of return for a given property in the City of Philadelphia. The modeling result is then compared with the applied machine learning methods, including random forest, k-nearest neighbor, support vector machine, naïve Bayes and neural networks. The best model is finally selected based on different performance metrics that determine the prediction strength of underlying models. Findings By analyzing 2,163 properties, the results show that properties with more bedrooms, closer to the historic attractions, in neighborhoods with lower minority rates and higher nightlife vibe are more likely to have a higher return if they are rented out through short-term rental contract. Additionally, the property location is found out to have a significant impact on the selection of the rental strategy, which emphasizes the widely known term of “location, location, location” in the real estate market. Originality/value The findings of this study contribute to the literature by determining the neighborhood and property characteristics that make a property more suitable for the short-term rental vs the long-term one. This contribution is extremely important as it facilitates differentiating the short-term rentals from the long-term rentals and would help better understanding the supply-side in the sharing economy-based accommodation market.
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Wu, Jiang, Panhao Ma, and Karen L. Xie. "In sharing economy we trust: the effects of host attributes on short-term rental purchases." International Journal of Contemporary Hospitality Management 29, no. 11 (November 13, 2017): 2962–76. http://dx.doi.org/10.1108/ijchm-08-2016-0480.

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Purpose Trust has been widely recognized as the crucial factor of consumer purchase intention when shopping on peer-to-peer short-term rental platforms where hosts and renters are strangers. However, the specific attributes of hosts that help build trust with potential renters and drive their purchase of short-term rentals remain unknown. This study aims to explore the effects of host attributes on renter purchases made on Xiaozhu.com, one of the top short-term rental platforms in China, while controlling for short-term rental characteristics. Design/methodology/approach A crawler program was developed by Python to collect the host attributes and their short-term rental characteristics of 935 hosts in Beijing from November 18, 2015 to February 14, 2016. The authors use Poisson regression models to estimate the effects of host attributes on renter reservations. They also conduct a series of robustness checks for the estimated results. Findings The authors found that host attributes such as the time of reservation confirmation, the acceptance rate of renter reservations, the number of listings owned, whether a personal profile page is disclosed and gender of the host significantly affect renter reservations, whereas the response rate of the host does not influence renters when purchasing short-term rentals online. Originality/value This study identifies which host attributes are perceived as trustworthy and affect renters’ purchase decisions, a topic of both theoretical and practical importance but currently less researched. The findings add to emerging literature by providing insights on trust-building in the peer-to-peer economy. Useful suggestions are also provided on strengthening the trust mechanism on short-term rental platforms to facilitate peer-to-peer transactions. Notably, the study is the first attempt to examine the perception of Chinese users toward short-term rentals despite its global prevalence. The analytical insights revealed from large scale but granular online observations data of host attributes and actual renter reservations greatly supplement findings of extant literature using survey and experiment approaches.
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Zhao, Jie, and Zhixiang Peng. "Shared Short-Term Rentals for Sustainable Tourism in the Social-Network Age: The Impact of Online Reviews on Users’ Purchase Decisions." Sustainability 11, no. 15 (July 28, 2019): 4064. http://dx.doi.org/10.3390/su11154064.

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With the development of social networks and the Internet-based sharing economy, shared short-term rentals are emerging as a new kind of service that provides a convenient way for people to buy short-term rental services in cities through social-network-enabled platforms. However, like other social-network-based services, shared short-term rental is also likely to be impacted by online reviews. This paper aims to investigate the impact of online reviews on users’ purchase decisions toward shared short-term rentals, and further to provide optimization suggestions for the future advance of shared short-term rentals. The contributions of this paper are many-fold. First, we introduce the Stimuli-Organism-Response (SOR) model into the study and propose new variables for the model, including stimulus variables, organism variables, response variable, and moderating variables. Second, we propose eight hypotheses to evaluate the impact of online reviews on users’ purchase decisions toward shared short-term rentals. Finally, we collect data through a questionnaire survey and present comprehensive results on many aspects. Based on the data analysis, we find out that the quality of online reviews impacts users’ perceived value and perceived risk, which in turn impacts users’ purchase decisions toward shared short-term rentals. In addition, the cognitive needs of users can adjust the impact of online reviews on the perceived risk of users but have no explicit adjusting effect for users’ perceived value. Further, we present some research implications as well as suggestions for rental platforms to advance shared short-term rentals in the Internet age.
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5

Ardura Urquiaga, Alvaro, Iñigo Lorente-Riverola, and Javier Ruiz Sanchez. "Platform-mediated short-term rentals and gentrification in Madrid." Urban Studies 57, no. 15 (June 10, 2020): 3095–115. http://dx.doi.org/10.1177/0042098020918154.

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Gentrification demands updated frameworks to assess the impact of some major global trends on the local populations’ access to housing. Short-term accommodation using digital platforms in previously gentrified central urban areas is playing a significant role in outlining a new wave of ‘transnational gentrification’ in a number of global cities. Having undergone classical patterns of gentrification over the last two decades, the central district of Madrid and its surroundings are showing patterns of a new wave of gentrification in a context of economic crisis, planetary rent gaps, increasing global tourism and an increase in rental prices in central areas that may be related to the emergence of short-term rentals – making Madrid a relevant case for depicting transnational gentrification in the Southern European capitals. Based on empirical data, this work explores the holiday rental supply in Madrid over three years (2015–2018), verifying a strong association between the growth in tourist arrivals, the settlement of new residents from wealthy economic backgrounds and increasing rental prices. Since this process is accompanied by deregulation of local rental contracts and the growth of transnational Real Estate Investment Trusts (REITs), even in some of the most vulnerable areas located beyond the M-30 ring road, this wave of gentrification has the potential to produce displacement and substitution of residents.
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6

Brotman, Billie Ann. "San Francisco: rental restrictions and pre-restriction host listing motivation." Journal of Property Investment & Finance 38, no. 2 (March 21, 2020): 147–55. http://dx.doi.org/10.1108/jpif-09-2019-0128.

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PurposeSan Francisco started regulating short-term vacation rentals on rooms/apartments/houses located within city limits in September 2019. The objectives of this conceptual-scenario and regression study are to calculate the present value of the net earnings for a short-term residential rental property located in San Francisco pre-regulation and post-regulation, and consider a financial reason motivating households to list properties as short-term rentals.Design/methodology/approachA present value approach is used to estimate the value of rental space to tourists prior to the passage of San Francisco's short-term rental regulations compared to post-rental rules. Table 2 shows pre- and post-income scenarios. Price increases of +20, +40 and +60 percent over the initial base rate failed to restore host earnings to pre-registration levels. The present value model calculates the net revenue less net cost associated with listing a property. The regression model uses the number of listings as the dependent variable, and housing prices divided by weekly wages as independent variables.FindingsThe short-term rental regulations significantly reduce the profitability associated with short-term tourist stays offered by hosts and listed by online platforms. A host earns pre-regulation income when average daily rents increase by approximately 71.5 percent. It will likely limit income earned by hosts and Airbnb and other shared housing website platforms due to the reduced number of rental days allowed for shared housing caused by ordinances and host enrollment restrictions. The regression model results suggest that homeowners were listing properties for rent to help cover higher priced property purchases.Research limitations/implicationsAirbnb, VRBO, Booking.com, and HomeAway are all private companies; this means that financial information is not publicly available. HomeAway, VRBO, and Booking.com are companies owned by Expedia. FlipKey is owned by TripAdvisor. Due to limited public information regarding income statements and property listing trends, regression analysis and descriptive statistics cannot be generated using audited financial statements.Practical implicationsRent control restriction frequently sets the maximum price below the market-clearing price, which results in limited supply but increase in demand for housing. The San Francisco regulations outlaw second-home rentals and seriously limit the availability of other rentals to tourists. FlipKey and HomeAway tend to rent second homes, which San Francisco now bars from being rented for short-term.Social implicationsThe San Francisco restrictions were enacted with the goal of increasing the supply of rental housing available to permanent residents by restricting short-term rentals. This may have limited short-term benefits to permanent residents, but in the long term lowers income associated with single-family housing which will encourage housing arrangements that would avoid leasing restrictions and lower the number of new houses built. Other cities also have a history of rent controls, and are experiencing housing shortages and at the same time attracting large numbers of tourists. These cities may be motivated to enact similar rental restrictions as those approved in San Francisco.Originality/valueThese short-term rental restrictions just started being implemented and enforced. A court decision upheld them. There were media reports outlining the restrictions, but enforcement has just started, so no research papers have been written about San Francisco. Prior research studies have not used net present value analysis to calculate the loss to the host by enacted ordinances restricting tourists’ length of stay and have neither tried to explain why homeowners are listing properties for short-term rentals.
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Gurran, Nicole, and Pranita Shrestha. "Airbnb, Platform Capitalism and the Globalised Home." Critical Housing Analysis 8, no. 1 (June 2021): 107–18. http://dx.doi.org/10.13060/23362839.2021.8.1.527.

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Airbnb, the most ubiquitous of the many online short-term rental platforms offering residential homes to tourists, has infiltrated local neighbourhoods and housing markets throughout the world. It has also divided policy-makers and communities over whether tourism in residential homes is a benign example of the so-called ‘sharing’ economy or a malignant practice which destroys neighbourhoods. These differing positions reflect alternative and changing notions of ‘home’ within wider processes of financialisation and platform capitalism. This paper examines these themes with reference to stakeholder statements solicited in response to government inquiries on how to regulate short-term rental housing in Australia.
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Schaub, Martien, and Dion Kramer. "EU Law and the Public Regulation of the Platform Economy: The Case of the Short-Term Rental Market." Common Market Law Review 59, Issue 6 (December 1, 2022): 1633–68. http://dx.doi.org/10.54648/cola2022114.

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The platform economy undoubtedly brings advantages, but also generates significant challenges for (local) government. National and local regulators seeking to address such challenges are confronted with limits imposed by EU law, which seemingly grants online platforms a wide degree of freedom to provide their services within the Union’s internal market. This article evaluates the room for national and local authorities to regulate platform-mediated services under the E-Commerce Directive and Services Directive after the “Airbnb cases” (Airbnb Ireland and Cali Apartments). Taking the short-term rental market as a case study, the article concludes that there is in fact considerable room to target both the intermediary services provided by the platforms (upstream), as well as the underlying services (downstream). A combination of upstream and downstream regulation is recommended for local enforcement to be effective, avoid further fragmentation from city to city and halt the trend towards ever-stricter regulation of the underlying services. E-Commerce, Services, EU Law, Platform Economy, Airbnb, Regulation, Short-Term Rental. Digital Services Act
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Crowe, Adam. "Short-Term Rentals and the Residential Housing System: Lessons from Berlin." Critical Housing Analysis 8, no. 1 (June 2021): 129–40. http://dx.doi.org/10.13060/23362839.2021.8.1.529.

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The increasing professionalisation of Airbnb-style short-term rentals has emerged within a grey space between residential housing and hotel accommodation. Subsequently, an array of contestations have arisen, due in no small part to the intangibility of online short-term rental platforms as well as the absence of clear regulation at the municipal level. In urban settings already confronted with housing issues such as supply shortages and reduced affordability, recent studies show how the proliferation of short-term rentals can amplify housing market pressure while feeding into the broader urban processes of gentrification, touristification, and displacement. Using Berlin, Germany, as a site of analysis, this paper explores the expansion of short-term rentals in relation to various policy interventions designed to regulate the conversion of residential housing into tourist accommodation.
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Bootvong, Parichart, and Than Dendoung. "Review Article: The Review of Legal Issues Related to the Impacts of Online Vacation Rental Platforms (OVRPs) on Vacation Condominium Rentals and the Hotel Industry in Thailand." Journal of Architectural/Planning Research and Studies (JARS) 15, no. 1 (September 3, 2018): 1–16. http://dx.doi.org/10.56261/jars.v15i1.154189.

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This article reviews the impact of Online Vacation Rental Platforms (OVRPs) on vacation condominium rentals and the hotel industry in Thailand and discusses the legal implications of the OVRP use. The literature reviews are providing explanations of Thailand’s laws involving OVRPs and exploring current connections between hotels, vacation condominiums and online rental platforms, using case studies and examples. We find that OVRPs provide short-term rentals in most vacation condominiums at popular tourist destinations in Thailand. According to the Thai Civil and Commercial Code, B.E. 2551, the owners of such properties have the right to lease their property, but rentals of less than 30 days constitute an infringement of the Hotel Act, B.E. 2547. Case studies from other countries suggest that OVRPs may have positive as well as negative impacts on the hotel industry, and may also generate indirect benefits for other industries such as tourism and real estate development. Increasingly, vacation condominiums in Thailand are attracting individual investors, many of them foreigners, for the short-term rental market via OVRPs. This development not only undermines the Hotel Act, B.E. 2547 but also poses various risks for hosts, guests, co-owners and potential condominium buyers – risks which are not currently addressed by applicable Thai law. Areas identified as requiring further research regarding the impacts and legal implications of OVRPs in Thailand include: (i) balance of positive and negative impacts of OVRPs on Thai economy and society; (ii) impacts of OVRPs on the vacation condominium market in Thailand; and (iii) merits of amending the legal issues to cover the OVRPs rentals.
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Monahan, Torin. "Recoding the city: cultural mediation of short-term rental platforms in the US." Cultural Studies 35, no. 4-5 (March 4, 2021): 946–67. http://dx.doi.org/10.1080/09502386.2021.1895258.

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Garcia-López, Miquel-Àngel, Jordi Jofre-Monseny, Rodrigo Martínez-Mazza, and Mariona Segú. "Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona." Journal of Urban Economics 119 (September 2020): 103278. http://dx.doi.org/10.1016/j.jue.2020.103278.

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13

van Doorn, Niels, Eva Mos, and Jelke Bosma. "Actually Existing Platformization." South Atlantic Quarterly 120, no. 4 (October 1, 2021): 715–31. http://dx.doi.org/10.1215/00382876-9443280.

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In this article we examine the partnership as a heterogeneous boundary resource that enables platforms to generate dependencies, become locally embedded, and gain power in urban settings. Pushing back against narratives of platform-driven disruption, which tend to universalize and totalize platform power, we discuss three cases of what we term “actually existing platformization”—a path-dependent and locally situated process in which platform companies engage in various forms of “boundary work” with other actors seeking to retain and/or gain power. Each case focuses on a distinct industry: food delivery, short-term housing rental, and the social/voluntary sector. In each of these domains, we show how asset-light platforms initiate and develop partnerships as a frequently nebulous boundary resource that opens up potential avenues for (1) market consolidation, (2) logistical integration, (3) social mobilization, and/or (4) institutional legitimation. Such strategic moves, we argue, have become particularly pertinent following the COVID-19 pandemic, which has hit urban areas particularly hard and is intensifying certain social dependencies and institutional shortcomings that platforms are seeking to exploit.
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Kljucnikov, Aleksandr, Mehmet Civelek, Vladimír Krajcík, and Lubomír Kmeco. "Innovations in Tourism Marketing: Sharing Economy Platform." Marketing and Management of Innovations, no. 1 (2020): 11–25. http://dx.doi.org/10.21272/mmi.2020.1-01.

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This research summarizes the arguments and counterarguments within the scientific discussion on the issue of potential tax evasions and increased rental rates that one of innovative home-sharing platforms might causes. The study aims to find possible tax evasion that each property and each host can cause by considering creative activities in tourism marketing and a sharing economy platform, Airbnb in Prague. Besides, the authors identified the potential problems in the rental accommodation market. Systematization literary sources and approaches for solving the problem of sharing economy platforms indicate that although these platforms benefit for some economic, social and environmental issues, they pose some troubles in various markets. Regarding methodological tools of the research method, this paper used a web scraping technique to gain data from the Airbnb website. The authors analysed 13918 accommodations that were rented by 6768 Airbnb users between April 2016 and March 2017. In the study, the authors used the Microsoft Excel 2016 program and a model created by researchers to make calculations. The paper presented the results of an empirical analysis showing that in case the sensitive regulation of the number of nights will apply the potential tax incomes will lower only on 0.98% when considering accommodations and on 6.40% when considering users. In this case, 16832 rental units will appear in the long-term housing market. Moreover, tax evasion becomes more when considering each dwelling instead of each host because some users rented more than one rental accommodation. The research also empirically confirms and theoretically proves that that extended limits for overnight stays yield benefits for costs, supply and demand of rental housing. Those findings can be useful for governments, academicians that are interested in tourism marketing, firms in the accommodation industry that look for new marketing innovations and short or long-term housing market participants such as lessor and lessees. Keywords: accommodation, tourism, marketing, Airbnb, innovation, home-sharing, Prague, sharing economy, taxation.
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Ferreira, Karolina Matias, and Mirian Picinini Méxas. "ANALYSIS ON THE PERCEPTION OF THE MANAGERS OF LODGING BUSINESSES TOWARD ONLINE SHORT-TERM RENTAL PLATFORMS." Revista Produção e Desenvolvimento 3, no. 3 (December 1, 2017): 74–85. http://dx.doi.org/10.32358/rpd.2017.v3.255.

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When connecting travelers and property owners directly, the online short-term rental platforms have become stronger over the past years and, as they represent a type of innovation in the tourism sector, they may affect traditional lodging businesses directly. The present article aimed at investigating, according to the perception of the managers of lodging businesses in five cities of the State of Rio de Janeiro, how this type of collaborative consumption affects the competitiveness in their businesses. The qualitative research, of exploratory nature, was performed by applying an electronic questionnaire. The results indicated two possible situations: the managers have limited knowledge of such themes and/or only part of what is reported in the literature was realized by them in their businesses. Taking into consideration how actual the approached theme is, the academic relevance of the present article stands out and it is expected that this article may contribute to a better understanding of the effects of such phenomena on the tourism sector.
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Li, J., and F. Biljecki. "THE IMPLEMENTATION OF BIG DATA ANALYSIS IN REGULATING ONLINE SHORT-TERM RENTAL BUSINESS: A CASE OF AIRBNB IN BEIJING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W9 (September 30, 2019): 79–86. http://dx.doi.org/10.5194/isprs-annals-iv-4-w9-79-2019.

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Abstract. With the fast expansion and controversial impacts of short-term rental platforms such as Airbnb, many cities have called for regulating this new business model. This research aims to establish an approach to understand the impact of Airbnb (and similar services) through big data analysis and provide insights potentially useful for its regulation. The paper reveals how Airbnb is influencing Beijing’s neighbourhood housing prices through machine learning and GIS. Machine learning models are developed to analyse the relationship between Airbnb activities in a neighbourhood and prevailing housing prices. The model of the best fit is then used to analyse the neighbourhood price sensitivity in view of increasing Airbnb activities. The results show that the sensitivity is variable: there are neighbourhoods that are likely to be more price sensitive to Airbnb activities, but also neighbourhoods that are likely to be price robust. Finally, the paper gives policy recommendations for regulating short-term rental businesses based on neighbourhood’s price sensitivity.
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Jiang, Weiwei, and Bin Liu. "Intelligent Hotel Resource Sharing System Based on Data Fusion." Wireless Communications and Mobile Computing 2022 (July 19, 2022): 1–8. http://dx.doi.org/10.1155/2022/7439903.

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In order to further develop cross-platform hotel resource sharing, a cross-platform comparative study of user review text of intelligent hotel resource sharing system based on data fusion is proposed. X hotel reservation platform and Z short-term rental platform were selected as the experimental objects, and 86,635 user comment texts of relevant housing sources in a city were collected. Cross-platform comparative analysis of user text comments was conducted by combining the LDA model-themed social network and the theme sentiment analysis method. The experiment result shows the following: Based on the emotional score of each theme, the positive, negative, and neutral emotional intensity values of hotel platform reviews were 0.76, 0.06, and 0.18, respectively, and the emotional intensity values of shared accommodation platform were 0.82, 0.05, and 0.11, respectively. The research finds the similarities and differences between the two platforms in the social network and emotion of the topic and explains the substitutability and complementarity of the two platforms in products and services from the perspective of microuser comments. Conclusion. This study provides an important practical reference for platform managers to develop and improve accommodation products and services.
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Buckle, Caitlin, and Peter Phibbs. "Challenging the Discourse around the Impacts of Airbnb through Suburbs Not Cities: Lessons from Australia and COVID-19." Critical Housing Analysis 8, no. 1 (June 2021): 141–49. http://dx.doi.org/10.13060/23362839.2021.8.1.530.

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Supporters of short-term rental (STR) platforms state that STRs represent a small fraction of the housing market of major cities and therefore have little impact on rents. However, there is emerging evidence that suggests that STRs have highly localised impacts. In this article, we use the natural experiment of the pause in tourism caused by the COVID-19 pandemic to highlight the impact of a decrease in STR listings on rental markets in the case study city of Hobart, Australia. We find that rental affordability has improved in Hobart’s STR-dense suburbs with the increased vacancies from the underutilised STR properties. These results provide evidence of the impact of STRs on local housing markets when analysed on a finer scale than the whole-of-city approach. The focus on local housing markets helps local communities and city governments build an argument for the impact of STRs on tight housing markets.
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Kowalczyk-Anioł, Joanna, Karolina Kacprzak, and Ewa Szafrańska. "How the COVID-19 Pandemic Affected the Functioning of Tourist Short-Term Rental Platforms (Airbnb and Vrbo) in Polish Cities." International Journal of Environmental Research and Public Health 19, no. 14 (July 18, 2022): 8730. http://dx.doi.org/10.3390/ijerph19148730.

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The article presents the impact of the COVID-19 pandemic on urban tourism activity on short-term rental (STR) platforms in Central and Eastern Europe (CEE). It offers empirical evidence of how Airbnb and HomeAway (Vrbo) changed in Polish cities during the COVID-19 pandemic. A case study of Polish cities was also used to investigate what pandemic-induced scenarios of that impact are presented in the literature. In particular, the study identifies “loser” cities, in which the pandemic consolidated and deepened the decline in active STR volume, and “winner” cities, in which the volume and dynamics of the active STRs increased during the pandemic.
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Chen, Xiaoyi, Sarah Cheah, and Ao Shen. "Empirical Study on Behavioral Intentions of Short-Term Rental Tenants—The Moderating Role of Past Experience." Sustainability 11, no. 12 (June 20, 2019): 3404. http://dx.doi.org/10.3390/su11123404.

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Existing sharing economy (SE) studies tend to focus on the nature of SEs, their business models, and impact. However, there are limited in-depth studies on what motivates consumers’ participation in sustainable SE context, particularly in short-term rentals involving safety risks arising from face-to-face engagement with strangers while consuming the services. Applying the perceived value theory and extended theory of planned behavior, this study examines the relationships among consumers’ perceived value (gain versus loss), past experience, and behavioral intentions in sustainable consumption of short-term rentals offered on smart online matching platforms. Based on a survey of 421 Chinese consumers, our study has demonstrated that social appeal and economic appeal (gains) are positively related to behavioral intentions. Second, we establish that the relationship between perceived risk (loss) and behavioral intentions is inverted U-shaped, enriching the existing literature which has assumed a linear relationship. Finally, our study shows that past experience positively moderates the influence of social appeal on behavioral intentions. This suggests that, compared with consumers having little or no past experience, the positive relationship between social appeal and behavioral intentions is stronger for consumers having much past experience. On the other hand, past experience has no effect on the relationship between economic appeal and behavioral intentions.
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MELNIKOVA, T. E., A. D. ZVEREV, and YU V. STRETOVICH. "ISSUES OF ENSURING THE RIGHTS OF THE PARTIES AT CONCLUSION AND IMPLEMENTATION OF THE CONTRACT OF CARSHARING OF." World of transport and technological machines 77, no. 2 (2022): 100–106. http://dx.doi.org/10.33979/2073-7432-2022-77-2-100-106.

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The article is devoted to the analysis of services for short–term rental of a motor vehicle – carshar-ing, the carsharing contract of the Delimobil company is considered. Shortcomings, irregularities and gaps in the contract have been identified. Specific recommendations have been developed and given on changing the content of the carsharing agreement, in particular concerning the respon-sibility for the acceptance and delivery of the car. The problem of illegal access to car-sharing car management by persons who do not have the right to do so using fake electronic platforms has been identified. Proposals have been developed to combat these offenses.
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Górriz, Carlos. "Incumbent Strategies against Collaborative Platforms." Law in Context. A Socio-legal Journal 36, no. 2 (May 19, 2020): 1–17. http://dx.doi.org/10.26826/law-in-context.v36i2.97.

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The purpose of this article is to analyse the strategies that incumbent market participants are using to fight collaborative platforms. I essentially focus on the battle between taxi drivers and Uber in Spain, because it is a very complete scenario. Traditional operators feel threatened by collaborative platforms due to the greater attractiveness of their business model. Therefore, they implemented t the two classic defence measures: imitation and confrontation. Nonetheless, some references are made to other examples of sharing economy, as “short-term rental market” and other countries. The first strategy is imitation. Established operators try to copy technological advances to increase competitiveness. Others team up with collaborative platforms to take advantage of their power of attraction and gain market share. We believe that it is the most desirable strategy, from a systematic point of view, because it improves competition and encourages innovation. Nonetheless, there are economic, social and legal obstacles that hinder imitation and collaboration. Traditional operators have faced collaborative platforms through different channels. The two most important are judicial and legislative. Regarding the first one, incumbents have grounded the lawsuits on unfair competition. They argued that collaborative platforms took advantage of breaking the laws, misled, sold at a loss and, in general, did not act in good faith. The Spanish experience shows that this strategy is not efficient. Multiple uncertainties condition the result; for instance, the lack of precise knowledge of disruptive technologies. Even when the result is favourable to the plaintiff, winning does not mean necessarily success. The third strategy is regulatory capture. Traditional operators put pressure on Parliaments, Governments and all kinds of administrations to forbid or restrict the activities of collaborative platforms. The Spanish experience is that this strategy can work. Success is not guaranteed as it full of difficulties and uncertainties. The outcome relies heavily on the political conjuncture, that uses to be fluctuating. Besides, it is very detrimental to the economic and legal system.
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Li, Liwei, and Wei Wang. "The Effects of Online Trust-Building Mechanisms on Trust in the Sharing Economy: The Perspective of Providers." Sustainability 12, no. 5 (February 25, 2020): 1717. http://dx.doi.org/10.3390/su12051717.

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Trust is considered to be one of the key factors influencing the sustainable development of the sharing economy. In this paper, we focus on the trust issue of peer-to-peer accommodation models like Airbnb and Xiaozhu, which are among the most common examples of a sharing economy. This research divides trust into two types from the perspective of an accommodation provider in the context of peer-to-peer accommodation sharing: trust in the sharing platform and trust in consumers. The purpose of this paper is to provide a comprehensive view of how the three types of online trust-building mechanisms affect providers’ trust in the sharing platform and trust in consumers. The structural equation modelling with partial least square method was used to empirically test the influence of the online trust-building mechanisms of a sharing economy platform on provider’s trust in the platform and provider’s trust in consumers, based on a sample of 209 providers on online short-term rental platforms in China. The empirical results show that perceived personal safety mechanisms, perceived property safety mechanisms, and perceived review mechanisms are positively related to a provider’s trust in the platform. Provider’s trust in the platform has a positive effect on trust in consumers, while perceived personal safety and review mechanisms have a positive effect on provider’s trust in consumers by the mediation of trust in the platform. This study has theoretical and practical significance for the promotion of the research and development of trust mechanisms in the sharing economy.
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Sarkar, Avijit, Mehrdad Koohikamali, and James B. Pick. "Spatial and socioeconomic analysis of host participation in the sharing economy." Information Technology & People 33, no. 3 (August 23, 2019): 983–1009. http://dx.doi.org/10.1108/itp-10-2018-0481.

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Purpose In recent years, short-term sharing accommodation platforms such as Airbnb have made rapid forays in populous cities worldwide, impacting neighborhoods profoundly. Emerging work has focused on demand-side motivations to engage in the sharing economy. The purpose of this paper is to analyze rarely examined supply-side motivations of providers. Design/methodology/approach To address this gap and to illuminate understanding of how Airbnb supply is configured and influenced, this study examines spatial patterns and socioeconomic influences on participation in the sharing accommodation economy by Airbnb hosts in New York City (NYC). An exploratory conceptual model of host participation is induced, which posits associations of demographic, economic, employment, social capital attributes, and attitudes toward trust and sustainability with host participation, measured by Airbnb property density in neighborhoods. Methods employed include ordinary least squares (OLS) regression, k-means cluster analysis and spatial analytics. Findings Spatially, clusters of high host densities are in Manhattan and northern Brooklyn and there is little proportionate change longitudinally. OLS regression findings reveal that gender ratio, black race/ethnicity, median household income, and professional, scientific, and technical occupation, and attitudes toward sustainability for property types are dominant correlates of property density, while host trust in customers is not supported. Research limitations/implications These results along with differences between Queens and Manhattan boroughs have implications for hosts sharing their homes and for city managers to formulate policies and regulate short-term rental markets in impacted neighborhoods. Originality/value The study is novel in conceptualizing and analyzing the supply-side provider motivations of the sharing accommodation economy. Geostatistical analysis of property densities to gauge host participation is novel. Value stems from new insights on NYC’s short-term homesharing market.
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Chiny, Mohamed, Omar Bencharef, Moulay Youssef Hadi, and Younes Chihab. "A Client-Centric Evaluation System to Evaluate Guest’s Satisfaction on Airbnb Using Machine Learning and NLP." Applied Computational Intelligence and Soft Computing 2021 (February 20, 2021): 1–14. http://dx.doi.org/10.1155/2021/6675790.

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Understanding the determinants of satisfaction in P2P hosting is crucial, especially with the emergence of platforms such as Airbnb, which has become the largest platform for short-term rental accommodation. Although many studies have been carried out in this direction, there are still gaps to be filled, particularly with regard to the apprehension of customers taking into account their category. In this study, we took a machine learning-based approach to examine 100,000 customer reviews left on the Airbnb platform to identify different dimensions that shape customer satisfaction according to each category studied (individuals, couples, and families). However, the data collected do not give any information on the category to which the customer belongs to. So, we applied natural language processing (NLP) algorithms to the reviews in order to find clues that could help us segment them, and then we trained two regression models, multiple linear regression and support vector regression, in order to calculate the coefficients acting on each of the 6 elementary scores (precision, cleanliness, check-in, communication, location, and value) noted on Airbnb, taking into account the category of customers who evaluated the performance of their accommodation. The results suggest that customers are not equally interested in satisfaction metrics. In addition, disparities were noted for the same indicator depending on the category to which the client belongs to. In light of these results, we suggest that improvements be made to the rating system adopted by Airbnb to make it suitable for each category to which the client belongs to.
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Stern, Stephanie M. "Rent Control Sharing." Law & Ethics of Human Rights 13, no. 2 (November 18, 2019): 141–78. http://dx.doi.org/10.1515/lehr-2019-2004.

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Abstract Rent-control laws limiting the rents private landlords can charge tenants are controversial in the United States. Critics have condemned rent control’s mandated wealth transfer from landlords to tenants, and economists have decried its negative effects on rental supply and quality. With the advent of the sharing economy, rent-controlled tenants can rent out their below-market units for short durations at market-level or premium prices, a practice I term “rent control sharing.” The reaction to rent-controlled tenants pocketing money from Airbnb and other homesharing sites at the expense of their hapless landlords has been negative. Yet, the sharing economy has not changed an essential feature of rent control: the redistribution of wealth from landlord to tenant. Instead, Airbnb and similar platforms have altered the form of the redistribution and the legal relations between landlord and tenant, and increased the salience of the wealth transfer from landlord to tenant. As a result, rent control sharing collides with public preferences for in-kind redistribution and stronger legal protections for property used personally or intimately. This Article explores how rent control sharing accentuates some of the flaws of rent control and fuels the debate over rent control’s future.
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Wu, Xiaojun, and Jiabin Shen. "A Study on Airbnb’s Trust Mechanism and the Effects of Cultural Values—Based on a Survey of Chinese Consumers." Sustainability 10, no. 9 (August 27, 2018): 3041. http://dx.doi.org/10.3390/su10093041.

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A sharing economy is developing rapidly worldwide, especially in China. Trust has been considered as a crucial factor in facilitating the practice of the short-term rental business, where hosts and renters are strangers. However, not only has the inherent trust-building mechanism of this newly emerged business model not been fully explored, but how cultural values affect the trust-building path also remains unknown. This study proposes a model of the trust-building mechanism in the sharing economy platforms, with three central modes—institutional trust, product trust, and interpersonal trust—and introduces national cultural values dimensions at the individual level as moderators to explore the impact on the inherent mechanism of trust-building on Airbnb. The data collected from 210 Chinese Airbnb consumers by survey provides support for the proposed structural equation model. The results show that institutional trust has a positive influence on product trust and interpersonal trust, and that product trust has a positive influence on interpersonal trust as well. For the moderating effect of cultural values, the relationship between the institutional trust and product trust is regulated by power distance (PDI), individualism (IDV), uncertainty avoidance (UAI), and long-term orientation (LTO), while the relationship between product trust and interpersonal trust is regulated by PDI, IDV, and UAI. This paper indicates that in order to foster trust in the sharing economy, practitioners should enhance institutional trust, product trust, and interpersonal trust synchronously, as these three modes of trust are positively inter-related; they must also be sensitive to local cultural value dispositions when conduct sharing business internationally.
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DUMYN, Iryna, and Tamara SEMYCH. "FEATURES OF DESIGNING ONLINE SERVICE FOR SHORT-TERM RENTAL OF HOUSING FOR TOURISTS." Herald of Khmelnytskyi National University. Technical sciences 311, no. 4 (August 2022): 227–31. http://dx.doi.org/10.31891/2307-5732-2022-311-4-227-231.

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The aim of this work is to create requirements for the search engine housing system for tourists, easy to use and with a pleasant design, adapted to different users with the possibility of intercultural exchange. The main task is to create an online service that combines the features of Booking.com as a structured rental system and the Couchsurfing.com platform as a service for sharing hospitality and finding new friends worldwide. During the work, a detailed review and study of the development process of tourism and the impact of the Internet on the promotion of online services for finding and renting housing. Existing analogues of rental housing systems were described. The main task of developed online service is to provide tourists with the opportunity to search for and rent apartments for the duration of their travels. The traveler, being on the site’s main page, should be able to specify the search criteria, namely to enter the details of the destination, the desired rental dates, the number of inhabitants and special requirements for apartments. The online service, in turn, must immediately sort the proposals based on the specified characteristics and display options to the user. According to the research, functional requirements for the future service were formed and described, the architecture of client-server software development was chosen for implementation, steps of software product implementation were described, data warehouse creation was created, and the image of ready online service was presented.
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De la Osada Saurí, David, and María Dolores Pitarch-Garrido. "Análisis del efecto Airbnb en la ciudad de Valencia. Situación actual (2020) y perspectivas de futuro / / / \ \ \ Analysis of the Airbnb effect in the city of Valencia. Current situation (2020) and future prospects." TERRA: Revista de Desarrollo Local, no. 8 (July 27, 2021): 98. http://dx.doi.org/10.7203/terra.8.19092.

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Resumen: Las ciudades experimentan cambios rápidos. Uno de estos tiene como elemento disruptivo el crecimiento del turismo, es decir, de la atractividad de determinados espacios urbanos que ha dado lugar a un aumento de la oferta para los visitantes, tanto de recursos como, sobre todo, de alojamiento. Un elemento clave para explicar este aumento de la oferta es el alquiler turístico o alquiler de corta duración a través de plataformas digitales, entre las que destaca Airbnb. En la ciudad de Valencia, este fenómeno ha experimentado un crecimiento espectacular durante el segundo decenio del presente siglo. A partir de un análisis detallado de la oferta turística en los barrios de Valencia, se detecta una concentración en aquellos espacios con cierto atractivo turístico. En la presente investigación se realiza una aproximación a la relación existente entre el proceso de turistificación, medido a través de la oferta presente en la plataforma digital Airbnb en la ciudad de Valencia, y otros fenómenos como el aumento del precio del alquiler en algunos barrios, el impacto de los proyectos urbanísticos y de protección del patrimonio, etc. En conclusión, parece demostrado que Airbnb ha encontrado acomodo aumentando la presión turística en los barrios centrales y el frente marítimo, sin embargo, aún no se ha llegado a los límites de saturación que existen en otras ciudades, al menos así se desprende del análisis de la opinión de los residentes. El parón turístico originado por la pandemia del Covid-19 puede ser una oportunidad para replantear el modelo turístico de la ciudad. Palabras clave: Turistificación; Valencia; Airbnb; alquiler vacacional. Abstract: Cities are undergoing rapid change. One of these transformations has as its disruptive element the growth of tourism, that is, the attractiveness of certain urban spaces which has led to an increase in the supply for visitors, both of resources and, above all, of accommodation. A key element in explaining this increase in short-term rental flats through platforms, among which Airbnb stands out. In the city of Valencia, this phenomenon has experienced spectacular growth during the second decade of this century. Based on a detailed analysis of the tourist offer in the neighbourhoods of Valencia, a concentration has been detected in those areas with a certain tourist attraction. This research do an approximation to the relationship between the process of tourism, measured through the offer in the Airbnb platform in the city of Valencia and other phenomena such as the increase in rent in some neighbourhoods, the impact of urban planning and heritage protection projects, etc. In conclusion, it seems to be demonstrated that Airbnb has found accommodation by increasing the tourist pressure in the central districts and the waterfront, however, the saturation limits which exist in other cities have not yet been reached, at least this is clear from the analysis of the residents' opinion. The tourist stoppage caused by the Covid-19 pandemic may be an opportunity to rethink the city's tourism model. Key words: Tourist Board; Valencia; Airbnb; holiday rental.
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Cocola-Gant, Agustin, Angela Hof, Christian Smigiel, and Ismael Yrigoy. "Short-term rentals as a new urban frontier – evidence from European cities." Environment and Planning A: Economy and Space 53, no. 7 (October 2021): 1601–8. http://dx.doi.org/10.1177/0308518x211042634.

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Papers in this special issue offer a wide range of political economy and sociological perspectives to explain the development and impacts of short-term rentals (STRs) in European cities. Empirically, they provide insights regarding STR providers, socio-spatial impacts, and regulation. Authors reveal the professionalization of the sector vis-à-vis the connection between STRs and the wider financialization of housing. STRs are predominantly supplied by professional property managers as well as by middle-class individuals for which renting on digital platforms is their main professional activity. Furthermore, the increasing professionalization of hosts and the intrinsic competition among them is largely stimulated by the business model of digital platforms which has progressively favoured professional operators. Understanding how STRs are shaped by platform capitalism helps to explain the socio-spatial impacts of this market as well as why current regulations have not mitigated such impacts. In terms of impacts, contributions to this special issue document processes of displacement, gentrification, and how the penetration of visitors in neighbourhoods is experienced by residents as a process of loss and dispossession. However, due to the lobbying campaigns of professional operators and industry players, regulation has led to the legitimization of this new market rather than to the limitation of the activity. Therefore, the special issue challenges the use of a ‘sharing economy' and ‘peer-to-peer platforms’ as analytical categories, and, instead, provides evidence of why the STR market should be seen as part of the wider expansion of platform capitalism, consolidating the neoliberal and financialized urban paradigm.
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Braje, Ivana Načinović, Anna Pechurina, Nilay Bıçakcıoğlu-Peynirci, Cristina Miguel, María del Mar Alonso-Almeida, and Carlo Giglio. "The changing determinants of tourists’ repurchase intention: the case of short-term rentals during the COVID-19 pandemic." International Journal of Contemporary Hospitality Management 34, no. 1 (October 25, 2021): 159–83. http://dx.doi.org/10.1108/ijchm-04-2021-0438.

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Purpose Adopting Ajzen’s theory of planned behaviour theoretical framework, this paper aims to explore repurchase intentions among short-term rental users and changes in determinants of repurchase intention in the context of the COVID-19 pandemic. Design/methodology/approach Data for the research was collected via a cross-country quantitative survey (N = 1,433) in five European countries: Croatia, Italy, Spain, Turkey and the UK during 2020. Trust, perceived value, authenticity and perceived risk were incorporated into the structural equation model as part of an integrated analysis of antecedents of repurchase intention. Findings Perceived value and authenticity are the key drivers of a positive attitude to repurchase of short-term rentals even after the pandemic. The pandemic modified the role of perceived risk in determining attitude towards short-term rentals as perceived risks could negatively affect attitude and repurchase intention after COVID-19. Trust in the platform and the host became a significant determinant of repurchase intentions after the spread of COVID-19. Research limitations/implications The analysis has shown the link between attitude, subjective norms, perceived behavioural control and repurchase intention, and has thus demonstrated a successful application of the theory of planned behaviour to short-term rental users. Originality/value The results of this study suggest a possible reconceptualisation of repurchase determinants due to the pandemic. The study offers a timely contribution to the research on the impact of the pandemic on the determinants of tourists’ repurchase intentions.
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Bobrovskaya, Ekaterina, and Andrey Polbin. "Determinants of short-term rental prices in the sharing economy: The case of Airbnb in Moscow." Applied Econometrics 65, no. 1 (2022): 5–28. http://dx.doi.org/10.22394/1993-7601-2022-65-5-28.

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In this paper we analyze pricing on a large online platform for short‐term rental housing Airbnb based on Moscow dataset in January 2021. We build a multiple regression model based on a hedonic price function. We identify the main price determinants and the features typical for the specified market. In addition, the results demonstrate the importance of applying quantile regression and geographically weighted regression for more detailed analysis of the determinants of short‐term rental prices.
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Boros, Lajos, Gábor Dudás, and Gyula Nagy. "The emergence of peer-to-peer accommodations." Belvedere Meridionale 31, no. 4 (2019): 178–90. http://dx.doi.org/10.14232/belv.2019.4.13.

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Due to the development of information and communication technologies (ICTs), the so-called sharing economy spread rapidly to new sectors. The principle of sharing economy is that users can share their idle resources with each other. One of the most well-known manifestation of sharing economy is Airbnb, which is an online platform for short-term rentals. Nowadays, Airbnb offers more accommodation than some of the largest “traditional” hotel chains, and its estimated market value is 38 billion dollars. Airbnb gained a significant share within tourism accommodation services and has influence on urban property and rental markets, thus its diffusion led to conflicts between various actors. Our aim to present the characteristics of Airbnb; how does it work and what kinds of dilemmas and conflicts emerge in relation to the proliferation of short-term rentals? Furthermore, we aim to understand, to what extent could Airbnb interpreted as a part of sharing economy; is it genuinely sharing of idle resources, or is it a new form of capitalist enterprise? In addition, we also briefly present the spatiality of Airbnb in Hungary
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Liying, Chen, Yang Ziwei, and Tao Tingfang. "Consumption Choice in Choosing Online Short-term House Rental Platform in Sharing Economy." Frontiers of Management 2, no. 2 (2020): 79–110. http://dx.doi.org/10.35534/fm.0202010.

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Smigiel, Christian. "Why did it not work? Reflections on regulating Airbnb and the complexity and agency of platform capitalism." Geographica Helvetica 75, no. 3 (August 19, 2020): 253–57. http://dx.doi.org/10.5194/gh-75-253-2020.

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Abstract. This article deals with one of the most controversial topics in urban studies related to mobile capital and mobile people. At first glance this seems to be contradictory since numbers of short-term rentals have decreased dramatically due to the coronavirus (SARS-CoV-2) pandemic. However, this paper is not about numbers and statistics. Instead it discusses structural issues regarding governance and power relations which remain important topics (especially) in times of crisis. It provides insights regarding the following issues: firstly, it deconstructs different “myths” that still surround short-term rentals and Airbnb and secondly, it delineates the structural power of Airbnb as a new urban institution. This helps us to understand some of the conflicts over Airbnb and the pitfalls with current forms of regulation on the one side as well as showing the complexity and agency of short-term rentals on the other.
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陈, 丽英. "Online Short Term Rental Houses Platform Hosts Operational Motivation in the Tourism Sharing Economy." Modern Management 11, no. 05 (2021): 471–89. http://dx.doi.org/10.12677/mm.2021.115062.

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Rausch, Magdalena, Léa Blanc, Olga De Souza Silva, Olivier Dormond, Arjan W. Griffioen, and Patrycja Nowak-Sliwinska. "Characterization of Renal Cell Carcinoma Heterotypic 3D Co-Cultures with Immune Cell Subsets." Cancers 13, no. 11 (May 22, 2021): 2551. http://dx.doi.org/10.3390/cancers13112551.

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Two-dimensional cell culture-based platforms are easy and reproducible, however, they do not resemble the heterotypic cell-cell interactions or the complex tumor microenvironment. These parameters influence the treatment response and the cancer cell fate. Platforms to study the efficacy of anti-cancer treatments and their impact on the tumor microenvironment are currently being developed. In this study, we established robust, reproducible, and easy-to-use short-term spheroid cultures to mimic clear cell renal cell carcinoma (ccRCC). These 3D co-cultures included human endothelial cells, fibroblasts, immune cell subsets, and ccRCC cell lines, both parental and sunitinib-resistant. During spheroid formation, cells induce the production and secretion of the extracellular matrix. We monitored immune cell infiltration, surface protein expression, and the response to a treatment showing that the immune cells infiltrated the spheroid co-cultures within 6 h. Treatment with an optimized drug combination or the small molecule-based targeted drug sunitinib increased immune cell infiltration significantly. Assessing the therapeutic potential of this drug combination in this platform, we revealed that the expression of PD-L1 increased in 3D co-cultures. The cost- and time-effective establishment of our 3D co-culture model and its application as a pre-clinical drug screening platform can facilitate the treatment validation and clinical translation.
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Li, Ying Kui. "QoS-Aware Dynamic Virtual Resource Management in the Cloud." Applied Mechanics and Materials 556-562 (May 2014): 5809–12. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5809.

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Virtual resource management is a key issue in cloud computing paradigm. This paper focuses on the long term/short term virtual machine rental problem. A learning algorithm based on statistical learning techniques for resource requirement is proposed, and a dynamic virtual machine rental algorithm is given. These algorithms minimized the operational cost while preserving predetermined Quality-of-Service (QoS) specification. A simulation platform is constructed, and end users’ arrivals are generated according to a Markov Modulated Poisson Process (MMPP) to simulate the load in the real world. The effectiveness of the proposed algorithms are tested via extensive numerical studies.
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Ibrahim, Mohd Syahril, and Azlina Mohd Hussian. "APPLICATION OF LAW TO SHORT-TERM RESIDENTIAL ACCOMMODATION SERVICES IN MALAYSIA." International Journal of Law, Government and Communication 6, no. 25 (September 19, 2021): 85–93. http://dx.doi.org/10.35631//ijlgc.625008.

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Short Term Residential Accommodation (STRA) service is a business and activity where the owners of residential premises or his agents is handling short term rentals and list their residences on digital platforms such as Airbnb, Agoda, Booking.com and others. This service has successfully created business opportunities and provided options to tourists when booking accommodation while on holiday in Malaysia. However, the STRA service has raised some legal issues including licensing, business registration, security issues and nuisance to the neighborhood. The qualitative method was used in this study using document analysis especially the related laws in Malaysia. This study will identify the law in general that apply to STRA especially on strata management. A special legislation is needed to regulate STRA service, and it will help in supporting the economic growth of the tourism industry in Malaysia.
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ZHOU, Kai, Linyi HE, and Yiwen ZHANG. "A review of literature on the concept, impacts, and spatial interactions of sharing short-term rental platform." Progress in Geography 39, no. 11 (2020): 1934–43. http://dx.doi.org/10.18306/dlkxjz.2020.11.013.

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Guo, Yuanyuan, Yanqing Wang, and Chaoyou Wang. "Exploring the Salient Attributes of Short-Term Rental Experience: An Analysis of Online Reviews from Chinese Guests." Sustainability 11, no. 16 (August 8, 2019): 4290. http://dx.doi.org/10.3390/su11164290.

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Although China has become an emerging market in the peer-to-peer (P2P) accommodation industry, no research has been conducted to examine Chinese guests’ experience with short-term rentals. This study aims to investigate major service attributes that influence Chinese guests’ experiences and satisfaction with P2P accommodations by analyzing online reviews on the Xiaozhu sharing economy platform in China. Using text mining and content analysis method, the study found that Chinese guests who stayed in entire houses/apartments and private rooms frequently mentioned “host service,” “cleanliness,” “location and transportation,” and “living environment.” In addition, the guests who stayed in private rooms cared more about “security and privacy” and “value for money.” Those who stayed in entire houses cared more about the facilities, with a particular focus on the aspects of the kitchen. Finally, the guests who stayed in private rooms valued social interaction with the host more and left a lower proportion of negative reviews related to “host service” than those who stayed in entire houses. This study provides a comprehensive understanding of the Chinese guests’ experience.
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Alexandridis, Georgios, Yorghos Voutos, Phivos Mylonas, and George Caridakis. "A Geolocation Analytics-Driven Ontology for Short-Term Leases: Inferring Current Sharing Economy Trends." Algorithms 13, no. 3 (March 4, 2020): 59. http://dx.doi.org/10.3390/a13030059.

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Short-term property rentals are perhaps one of the most common traits of present day shared economy. Moreover, they are acknowledged as a major driving force behind changes in urban landscapes, ranging from established metropolises to developing townships, as well as a facilitator of geographical mobility. A geolocation ontology is a high level inference tool, typically represented as a labeled graph, for discovering latent patterns from a plethora of unstructured and multimodal data. In this work, a two-step methodological framework is proposed, where the results of various geolocation analyses, important in their own respect, such as ghost hotel discovery, form intermediate building blocks towards an enriched knowledge graph. The outlined methodology is validated upon data crawled from the Airbnb website and more specifically, on keywords extracted from comments made by users of the said platform. A rather solid case-study, based on the aforementioned type of data regarding Athens, Greece, is addressed in detail, studying the different degrees of expansion & prevalence of the phenomenon among the city’s various neighborhoods.
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van Doorn, Niels. "A new institution on the block: On platform urbanism and Airbnb citizenship." New Media & Society 22, no. 10 (October 29, 2019): 1808–26. http://dx.doi.org/10.1177/1461444819884377.

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This article argues that Airbnb should be understood as a new urban institution that is transforming relations between market, state, and civil society actors. Taking the Airbnb Citizen advocacy initiative as my case, I examine how this transnational “home sharing” platform achieves such transformations, which in turn requires an investigation into the specific nature of Airbnb as an institutional form. Assuming the agenda-setting role of the urban “regulatory entrepreneur,” Airbnb aims to co-shape the terms of current and future policy debates pertaining not just to home sharing/short-term rental but also to the very fabric of city life. It pursues this mode of “platform urbanism” by mobilizing its user base, which it frames as a community of entrepreneurial middle-class citizens looking to supplement their income in a climate of economic insecurity and tech-enabled opportunity. Yet, who is the “Airbnb Citizen” and what are the opportunities and risks associated with platform-mediated citizenship?
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Celata, Filippo, Cristina Capineri, and Antonello Romano. "A room with a (re)view. Short-term rentals, digital reputation and the uneven spatiality of platform-mediated tourism." Geoforum 112 (June 2020): 129–38. http://dx.doi.org/10.1016/j.geoforum.2020.04.007.

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Rubino, Irene, Cristina Coscia, and Rocco Curto. "Identifying Spatial Relationships between Built Heritage Resources and Short-Term Rentals before the Covid-19 Pandemic: Exploratory Perspectives on Sustainability Issues." Sustainability 12, no. 11 (June 3, 2020): 4533. http://dx.doi.org/10.3390/su12114533.

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Built heritage resources (BHRs) are multidimensional assets that need to be conceived under a sustainability and circular economy framework. Whereas it is essential that their conservation, management, and enjoyment are sustainable, it is also necessary that the environmental, cultural, and socio-economic contexts in which they are integrated are sustainable too. Like other amenities, BHRs can improve the quality of the urban environment and generate externalities; additionally, they may influence sectors such as real estate, hospitality, and tourism. In this framework, this contribution aims to identify spatial relationships occurring between BHRs and short-term rentals (STRs), i.e., a recent economic phenomenon facilitated by platforms such as Airbnb. Through the application of Exploratory Spatial Data Analysis techniques and taking Turin (Italy) as a case study, this article provides evidence that spatial correlation patterns between BHRs and STRs exist, and that the areas most affected by STRs are the residential neighborhoods located in the proximity of the historic center of the city. Relations with other sets of socio-economic variables are highlighted too, and conclusions suggest that future studies are essential not only to monitor sustainability issues and reflect on new housing models and sustainable uses of buildings, but also to understand the evolution of the phenomenon in light of the pandemic Covid-19.
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Turoń, Katarzyna, and Grzegorz Sierpiński. "Electric-Car-Sharing in Urban Logistics – The Analysis of Implementation and Maintenance." Logistics and Transport 40, no. 4 (2018): 129–36. http://dx.doi.org/10.26411/83-1734-2015-4-40-17-18.

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The implementation of the sustainable transport policy in cities aims at finding various solutions that support the use of ‘clean energy’ in urban logistics. One of current global sustainable transport trends involves various measures related to electromobility. An example of electromobility in urban logistics is the e-car-sharing, or a short-term electric car rental. Since electric car-sharing is rather new to the transport market, operators and cities and metropolises may face various difficulties while implementing such services. Based on still operating and discontinued e-car-sharing systems, the authors analysed strengths and weaknesses of those systems with the focus on implementation and maintenance issues. The goal of the article is to determine strengths and challenges for e-car-sharing in urban logistics. The article is designed to assist stakeholders interested in the implementation of e-car-sharing. The analysis was provided under the international research project of ‘Electric travelling platform to support the implementation of electromobility in Smart Cities based on ICT applications’ funded from the National Research and Development Centre as a part of the ERA-NET CoFund Electric Mobility Europe Programme.
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Bachimon, Philippe, Patrick Eveno, and César Gélvez Espinel. "Primary and secondary place of residence, the digital link and the rise of presence." Worldwide Hospitality and Tourism Themes 12, no. 4 (July 4, 2020): 369–85. http://dx.doi.org/10.1108/whatt-05-2020-0033.

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Purpose This paper aims to explore the gradual commercialisation of second homes in non-urban locations and identifie a spectrum that ranges from lending to rentals to home exchange. Design/methodology/approach This paper is a conceptual one based on a review of literature relating to the acquisiting and use of secondary residences or “second homes”. Findings This paper observes that the secondary residence is often the object of a material over-investment that is symbolic and mental. The owners never quite leave their main place of residence when in the secondary one. The result is not two complementary spaces, but a hybrid space made up of the interlocking of the two. This paper also concludes that digitalization has made it easier to rent a secondary residence for a short period of time, using for instance the Airbnb platform, thus making it more an object of trade than a second home. From a sustainability perspective, the COVID-19 pandemic is likely to bring to the relatively rapid growth of short-term renting a halt. Further, it may encourage owners to be more psychologically and physically invested in their secondary residence, thereby contributing more to the local economy. Originality/value Few authors have considered the way digital tools can alter the relation with the secondary place of residence.
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48

Santos, Georgina. "Sustainability and Shared Mobility Models." Sustainability 10, no. 9 (September 7, 2018): 3194. http://dx.doi.org/10.3390/su10093194.

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Shared mobility or mobility in the sharing economy is characterised by the sharing of a vehicle instead of ownership, and the use of technology to connect users and providers. Based on a literature review, the following four emerging models are identified: (1) peer to peer provision with a company as a broker, providing a platform where individuals can rent their cars when not in use; (2) short term rental of vehicles managed and owned by a provider; (3) companies that own no cars themselves but sign up ordinary car owners as drivers; and (4) on demand private cars, vans, or buses, and other vehicles, such as big taxis, shared by passengers going in the same direction. The first three models can yield profits to private parties, but they do not seem to have potential to reduce congestion and CO2 emissions substantially. The fourth model, which entails individuals not only sharing a vehicle, but actually travelling together at the same time, is promising in terms of congestion and CO2 emissions reductions. It is also the least attractive to individuals, given the disbenefits in terms of waiting time, travel time, comfort, and convenience, in comparison with the private car. Potential incentives to encourage shared mobility are also discussed, and research needs are outlined.
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49

Kami, Daisuke, Masashi Yamanami, Takahiro Tsukimura, Hideki Maeda, Tadayasu Togawa, Hitoshi Sakuraba, and Satoshi Gojo. "Cell Transplantation Combined with Recombinant Collagen Peptides for the Treatment of Fabry Disease." Cell Transplantation 29 (January 1, 2020): 096368972097636. http://dx.doi.org/10.1177/0963689720976362.

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Fabry disease is caused by a decrease in or loss of the activity of alpha-galactosidase, which causes its substrates globotriaosylceramide (Gb3) and globotriaosylsphingosine (lyso-Gb3) to accumulate in cells throughout the body. This accumulation results in progressive kidney injury due to glomerulosclerosis and in heart failure due to hypertrophy. Enzyme replacement therapy (ERT) has been used as the standard therapy for Fabry disease, but it causes a significant financial burden, and regular administration is inconvenient for patients. Because of the short half-life of alpha-galactosidase in vivo, therapeutic methods that can supplement or replace ERT are expected to involve continuous release of alpha-galactosidase, even at low doses. Cell transplantation therapy is one of these methods; however, its use has been hindered by the short-term survival of transplanted cells. CellSaic technology, which utilizes cell spheroids that form after cells are seeded simultaneously with a recombinant collagen peptide scaffold called a μ-piece, has been used to improve cell survival upon implantation. In this study, syngeneic murine embryonic fibroblasts were used to generate CellSaic that were transplanted into Fabry mice. These spheroids survived for 28 days in the renal subcapsular space with forming blood vessels. These results indicate CellSaic technology could be a platform to promote cellular graft survival and may facilitate the development of cell transplantation methods for lysosomal diseases.
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50

Munasinghe, Lasika Madhawa, Terans Gunawardhana, Nishani Champika Wickramaarachchi, and Ranthilaka Gedara Ariyawansa. "Regulation of peer-to-peer tourist accommodation services: lessons from Asia pacific countries for Sri Lanka." Revista Produção e Desenvolvimento 8, no. 1 (July 7, 2022): e593. http://dx.doi.org/10.32358/rpd.2022.v8.593.

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Purpose: The peer-to-peer accommodation industry has expanded tremendously in the previous decade. The purpose of the study is to evaluate the adequacy of existing guidelines and policies in regulating peer-to-peer tourist accommodations driven by Airbnb in Sri Lanka by examining the policies of 16 Asia Pacific cities and countries to see how countries manage differential impacts of Airbnb. Methodology/Approach: A qualitative content analysis of the documents was conducted through Leximancer 5.0 to identify patterns, themes and meanings. Findings: The results revealed nine significant themes that emerged from the content analysis of documents and 18 priority areas were identified to be focused on in introducing regulations and guidelines for peer-to-peer tourist accommodations driven by sharing accommodation platforms. Research Limitation/implication: The findings can contribute to the ongoing regulatory discussion over short-term rentals and have immediate implications for state legislators attempting to regulate the business. In addition, the results will help understand policy trends in the sharing economy and develop the necessary robust policy and legal framework to support and strengthen the sharing economy. Originality/Value of paper: This is the first article investigating the adequacy of existing guidelines and policies in regulating peer-to-peer tourist accommodations driven by Airbnb in Sri Lanka.
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