Search results

This study aims to characterize remote workers’ Airbnb experiences through the cognitive outcomes of their experiences and to consider the differences between long and short stays.

The structural topic model methodology was used to identify relevant topics. Data were collected from InsideAirbnb for Lisbon, Portugal and Austin, Texas, USA, for 2022 and early 2023, focusing on reviews that mentioned remote work.

The Airbnb experiences of remote workers and digital nomads are characterized as professionals who express mostly affective outcomes, but also have behavioral and nonaffective outcomes during their stay. In addition, the findings support the moderating role of length of stay and city.

This paper contributes to the literature by exploring how length of stay affects the priorities of remote workers on Airbnb, highlighting the different needs of long-term and short-term stays, and helping to consolidate and clarify the scattered research on customers’ long-term experiences in tourism and hospitality.

The Airbnb experience of remote workers is the highly valued as evidenced by the high rate of commending reviews indicating a willingness to stay there again. It is suggested that Airbnb hosts continue their helpful role and ensuring the functionality and availability of essential facilities and emphasizing neighborhood amenities specific to long and short stays. ChatGPT4 was found to be valuable for extracting data and assigning topic labels.

This study uses a novel structural topic model, augmented with ChatGPT4, to analyze Airbnb customer reviews that mention remote work, thereby improving inferences about the characterization of remote workers.

This study aims to investigate the relationship between Airbnb and long-term residential rents, using Santa Monica, California, as a case study. In 2015, Santa Monica adopted the home sharing ordinance (HSO), a stringent regulation aimed at restricting short-term rentals (STR). This research examines the implications of this ordinance on the local housing market.

The synthetic control method (SCM) is applied to a panel data set comprising Airbnb listings and residential rents from multiple cities in Los Angeles County. This approach is used to estimate the causal effects of Santa Monica’s HSO on two outcomes: Airbnb listings and residential rents.

The empirical results show a 60% reduction in Airbnb listings in Santa Monica within two years of implementing the ordinance. Despite this significant decrease, the effect of the regulation on rents was not significant. Suggestive evidence indicates that the ordinance’s ineffectiveness in increasing the number of houses allocated to long-term tenants may have contributed to its negligible impact on rental rates.

To the best of the author’s knowledge, this research is the first to use the SCM for evaluating the impact of STR regulations. It offers crucial insights to policymakers on regulating platforms like Airbnb. The study reveals a scenario where a marked decrease in Airbnb activity did not lower residential rents, highlighting the need for context-specific evaluations in understanding the housing market’s dynamics. Additionally, these findings are valuable for investors considering the implications of regulatory changes in the STR sector.

Short-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.

This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.

The findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.

Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.

In this chapter, the authors present a theoretical framework to not only better understand the wicked nature of the Airbnb phenomenon but also, using case examples from around the world, to illustrate how governments have attempted to mitigate Airbnb’s negative impacts.

Analysing the sharing economy, specifically the Airbnb platform, through the lens of Karl Polanyi’s Double Movement Theory, brings growing tension between markets and society into sharp relief. In the ensuing sections of this chapter, the authors will then adopt a ‘wicked problem’ perspective to provide some analytical insights into how governments across the world have attempted to respond to this wicked policy problem and explore different policy responses and regulatory frameworks in greater depth. Through the review of exemplary cases from around the world, considerable variation in governance and policy responses could be identified.

The purpose of this paper is to investigate how the pandemic affects tenants’ response to their lease obligations. This paper commences with examining the adopted tenant selection criteria during the COVID-19 pandemic. Then, this paper statistically tests if there is a relationship between selection criteria and response on whether the pandemic has effects or not. Then, this paper investigates the specific areas of impact on tenants’ ability to adequately keep to lease agreements in the Nigerian rental market. Finally, this paper proceeds to confirm if there is a relationship between selection criteria and the aspects of tenants’ deficiencies in rental obligations because of COVID-19.

Survey data, backed with interviews, is elicited from practicing estate surveyors and valuers and licensed property managers in Lagos, the largest property market in Nigeria and sub-Sahara Africa. Policy solutions and implications were solicited from personnel at the ministry of housing and senior professionals in the property sector. Data were analyzed using descriptive statistics, factor analysis and computer-aided qualitative data analysis, Atlas.ti.

Tenant’s health status is now accorded a priority together with others. Numbers of tenants are challenged with keeping to the prompt-rent-payment rule. Other areas of slight breaches included livestock rearing, subletting, alteration and repair covenants. Except for tenant reputation and tenant family size, there was no significant relationship between tenant’s health status consideration and the COVID-19 effect on tenant non-compliance with lease obligation. Tenants’ non-compliance with tenancy obligations has a connection with the tenants’ affordability, reputation, ability to sign an undertaking and health conditions during the pandemic. This paper recommends rental housing policy review.

It is recommended that the rental policy should be reviewed to give room for rental allowance or palliatives, private rental market regulation, exploration of the national housing fund and, if possible, social housing adoption policy in Nigeria.

This paper draws policymakers’ attention to the need to prepare for the future safety net that caters to citizenry welfare in challenging times.

This study aims to provide insights into Airbnb’s exit from the China market, specifically from the perspective of platform competition.

Based on the understanding of the evolution and competition of peer-to-peer (P2P) accommodation market in China and the double-edged network effects, this viewpoint article provides an in-depth discussion on Airbnb’s withdrawal from the China market.

This viewpoint paper contends that Airbnb faced increasing challenges in establishing unique competitive advantages against local rivals, who demonstrate a capacity for innovation and maintaining loyal customers in adapting to the market evolution. Consequently, this may inhibit Airbnb from attracting the mainstream market and lead Airbnb into a negative spiral, exacerbated by indirect network effects.

This study offers insights into the failure of an internationalisation process, drawing from an analysis of the competitive environment and the competition strategies of P2P accommodation platforms in China. These findings have practical implications for the implementation of international business strategies in P2P accommodation.

本观点文章旨在基于平台竞争的视角对爱彼迎退出中国的现象进行阐释

基于对中国共享住宿/民宿市场的演变和竞争、双边网络效应的理解, 本文对爱彼迎退出中国进行了深入探讨。

本文提出, 爱彼迎在建立独特竞争优势以应对本地竞争对手方面面临日益严峻的挑战, 因为本地竞争者在适应市场变化方面展现出突出的创新和留客的能力。这可能会阻碍爱彼迎吸引主流市场, 并导致其跌入由间接网络效应加剧的恶性循环中。

基于对中国共享住宿平台的竞争环境和策略的分析, 本文洞悉了一个国际化失败的案例。本文的发现对于共享住宿的国际化策略实施具有实践意义。

Este artículo de opinión pretende aportar ideas sobre la salida de Airbnb del mercado chino, concretamente desde la perspectiva de la competencia entre plataformas.

Basándonos en la comprensión de la evolución y la competencia del mercado de alojamientos P2P en China, así como en los “efectos de red de doble filo”, este artículo de opinión ofrece una discusión en profundidad sobre la retirada de Airbnb del mercado chino.

Este documento sostiene que Airbnb enfrentó desafíos crecientes para establecer ventajas competitivas únicas frente a sus rivales locales, demostrando estos últimos una capacidad de innovación y del mantenimiento de la lealtad de sus clientes al adaptarse a la evolución del mercado. En consecuencia, esto puede inhibir a Airbnb para atraer al mercado principal y llevar a la empresa a una espiral negativa, exacerbada por efectos de red indirectos.

Este estudio ofrece una visión del fracaso de un proceso de internacionalización, a partir de un análisis del entorno competitivo y de las estrategias de competencia de las plataformas de alojamiento P2P en China. Estos resultados tienen implicaciones prácticas para la aplicación de estrategias empresariales internacionales en los alojamientos P2P.

There is an ongoing discussion on tools that can lead to sustainable tourism, as well as attempts to implement them. In the selection of tools, the attitudes of residents – local stakeholders and their degree of acceptance of such tools should be analysed and taken into account. Some cause conflicts, and hence, the purpose of this study is the comparative analysis of three cities (Prague, Krakow and Braga).

Analysis of the basic types of conflicts was conducted using the division proposed by Moore. The research was conducted among residents – experts representing the tourism sector. Based on the literature review, three hypotheses were formulated. Statistical tests were used to analyse the results.

The results showed a strong impact of the conflict of information and the interests of those dependent on the degree of development of the city’s tourist function. It was established that in the process of achieving sustainable tourism, to minimize conflicts, the following are necessary: paying attention to communication and the involvement of local communities, creating attractions that benefit both residents and visitors, measuring and monitoring tourist traffic, supporting initiatives for new tourist offers and initiating discussions on development problems, and setting common goals for all residents.

The research was conducted during the pandemic and is based on the opinions of experts indicated by the city authorities. While the attitudes of the inhabitants towards the development of tourism were recognized in earlier studies, the awareness of tourists and their readiness to accept limitations related to respecting the needs of the inhabitants were not examined. This aspect may be an interesting direction for further research. A limitation of this research is the small scope of the study, caused both by the restrictions in force during the research period (related to the COVID-19 pandemic) and also by the inability to conduct in-depth interviews with experts. It should also be noted that among the experts participating in the research were tourist entrepreneurs directly interested in rebuilding tourism after the pandemic. Due to this, their opinions may have been biased, but there is no way to prove or disprove this. However, the answers gathered were considered collectively; therefore, the opinions obtained were considered to be objective. Attempts to balance tourism so far have focused mainly on limiting the access of tourists to attractions and tourist areas and introducing (or increasing) admission fees. It is still too early to assess the effectiveness of such tools, hence the lack of scientific analyses of implemented tourism policies.

The role and tasks of institutions managing tourism in cities will probably also change, in particular, so-called destination management organizations. The current declarations indicate the need to respect inhabitants and take measures to limit conflicts arising in the context of the development of the tourist function. However, there is no empirical evidence of the positive results achieved.

The results will allow the implementation of tourism balancing tools that are accepted by the local community.

The selection of the historical cities and the posing of a research problem based on the same tool allowed for comparative inference. The results can help shape tourism management in cities and the choice of tools for their sustainable development.

关于实现可持续旅游的工具以及运用这些工具的尝试始终是学界热议的话题。 在选择工具时, 应当分析和考虑居民和当地利益相关者的态度以及他们对工具的接受程度, 因为有些会引起冲突。基于此, 本文的目的是对三个城市（布拉格、克拉科夫、布拉加）的居民-当地利益相关者冲突进行比较分析。

本文采用摩尔提出的划分方法对冲突的基本类型进行了分析。 该研究是在居民——代表旅游部门的专家中进行的。文章基于文献综述提出了三个假设, 并 使用统计测试来分析结果。

结果表明, 信息冲突和利益冲突的强烈影响取决于城市旅游功能的发展程度。在实现可持续旅游的过程中, 为了尽量减少冲突, 有必要采取以下措施：注重当地社区的参与和沟通, 创造有利于居民和游客双方的景点, 测量和监测旅游流量, 支持旅游产品创新并发起针对发展问题的讨论, 同时为所有居民设定共同目标。

本文选择历史名城作为案例地, 加之基于同一工具提出的研究问题, 使得本研究具备用于比较推断的条件。 研究结果有助于塑造城市的旅游管理以及引导可持续发展工具的选择。

Hay un debate en curso sobre las herramientas que pueden conducir al turismo sostenible, así como los intentos de implementarlas. En la selección de herramientas, se deben analizar y tener en cuenta las actitudes de los residentes – agentes interesados locales y su grado de aceptación de dichas herramientas. Algunas provocan conflictos, de ahí que el objetivo de este artículo sea el análisis comparativo de tres ciudades (Praga, Cracovia, Braga).

El análisis de los tipos básicos de conflictos se realizó utilizando la división propuesta por Moore. La investigación se llevó a cabo entre residentes, expertos que representan el sector turístico. A partir de la revisión de la literatura se formularon tres hipótesis. Se utilizaron pruebas estadísticas para analizar los resultados.

Los resultados mostraron un fuerte impacto del conflicto de información y los intereses de quienes dependen del grado de desarrollo de la función turística de la ciudad. Se estableció que en el proceso de lograr un turismo sostenible, para minimizar los conflictos es necesario: prestar atención a la comunicación y a la implicación de las comunidades locales, crear atractivos que beneficien tanto a los residentes como a los visitantes, medir y monitorear el tráfico turístico, apoyar iniciativas de nuevas ofertas turísticas e iniciar debates sobre los problemas de desarrollo, y establecer objetivos comunes para todos los residentes.

La selección de las ciudades históricas y el planteamiento de un problema de investigación basado en la misma herramienta permitieron realizar una inferencia comparativa. Los resultados pueden ayudar a configurar la gestión del turismo en las ciudades y la elección de herramientas para su desarrollo sostenible.

This paper aims to explore the intricate relationship among urban tourism, sustainability and the contributions of natural environments to the quality of life and convivial atmospheres in urban destinations. The purpose is to provide a comprehensive synthesis of existing knowledge, exploring the nuances of how natural environments impact the well-being of diverse demographic groups, both locals and visitors.

The study systematically reviews the literature using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) technique and uses the Scopus database. The search strategy incorporates key terms related to urban tourism, sustainability, quality of life and natural environments.

The findings of the systematic literature review provide insights into the current landscape of urban tourism, sustainability and the role of natural environments. The paper synthesizes existing knowledge, identifying trends, challenges and opportunities in leveraging natural environments for sustainable urban tourism.

Despite offering a thorough synthesis, this study has certain limitations. The scope is limited to articles published in English and available in the Scopus database, following the PRISMA guidelines. The implications of this research are significant, informing future studies and guiding urban tourism planning and policy development.

This research contributes to the existing literature by unraveling complexities in the interplay between natural environments, quality of life and convivial atmospheres in urban tourism. The emphasis on cross-cultural perspectives and the post-COVID-19 era adds originality, providing insights that can guide future research and practical applications in the field.

Climate change has been universally recognized as a major threat to human well-being, necessitating a comprehensive transformation of people's activities. Various measures have been proposed to contain climate change among which the green transformation grabs special attention, thanks to its desirable properties. Within the green transformation process, green tourism comes to prominence with huge potential. As one of the largest carbon emitters, the transition towards green tourism may offer substantial benefits not only for tourism companies but also for the whole economy. Yet, most studies tend to focus on the adverse effects of tourism on climate change while overlooking the potential impact of climate change on tourism. This chapter clarifies the feedback relationship between climate change and tourism and makes some recommendations.