Where is tourist housing actually located? New approaches and sources for detailed scale analysis

Naranjo, Juan Mariano Camarillo; Villalta, Ismael Vallejo; Tabales, Alfonso Fernández; Pavón, Enrique Luís Santos

doi:10.1080/09654313.2021.2002825

Cited by 4 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Airbnb is used as a distribution channel by hotels . Apartment providers and traditional hoteliers offer their services through Airbnb and other platforms (Brotman, 2021; Camarillo-Naranjo et al , 2022; Cerezo-Medina et al , 2022). The real values may be overestimated, for instance, Adamiak (2020) in his research eliminated 12% of all active listings that fall under this category.…”

Section: Discussionmentioning

confidence: 99%

“…To prevent opportunism (i.e. a situation in which guests contact hosts directly to avoid paying the Airbnb fee), Airbnb latitude-longitude coordinates represent only a random point within a 200 m radius of the listing’s actual location rather than the exact location (Deboosere et al , 2019) [according to different sources, it is 137 m (Campbell et al , 2019), 150 m (Camarillo-Naranjo et al , 2022) or 500 m (Kadi et al , 2019)]. According to García-Amaya et al (2021), before 2018 geographical coordinates had also been falsified by hosts operating in the grey economy to deceive local tourism authorities.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Addressing data quality in Airbnb research

Prentice

Pawlicz

2023

IJCHM

View full text Add to dashboard Cite

Purpose This paper aims to examine the primary supply data sources that have been used for research into the sharing economy, and the advantages and limitations of these sources in the literature. Design/methodology/approach To address the research aims, this study conducted a systematic literature review and content analysis of all relevant articles. Following the review, the methodological sections of the selected papers were examined to identify the characteristics and limitations of all data sources used in the papers. Findings This study revealed several limitations of the use of three major data sources, namely, web scraping with self-made bots, inside Airbnb and AirDNA, for sharing economy research. The review shows that the majority of the selected papers did not acknowledge any limitations, nor did they discuss the quality of the data sources. Research limitations/implications The findings of this paper can serve as guidelines for selecting appropriate data sources for research into the sharing economy and cautions researchers to address the limitations of the data sources used. Originality/value To the best of the authors’ knowledge, this is the first study that explores the advantages and limitations of data sources used in short-term rental market research.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Addressing data quality in Airbnb research

Prentice

Pawlicz

2023

IJCHM

View full text Add to dashboard Cite

show abstract

“…Esta intensificación de las actividades turísticas en la ciudad, y sus consiguientes efectos, ha generado un notable incremento en la producción científica relativa a la cuestión. Este incremento se percibe en aportaciones desde diferentes enfoques: el impacto demográfico y social (Mínguez et al, ; la geolocalización de las viviendas turísticas en alquiler y sus relaciones espaciales con otros hechos urbanos (Camarillo-Naranjo et al, 2021), o el análisis de los patrones de localización y el impacto de las viviendas turísticas en comparación con otras ciudades europeas (Serrano et al, 2020), entre otros.…”

Section: Sevilla Como áMbito De Estudio En La Geografía Turística Y C...unclassified

De ferretería a gastrobar: análisis de la turistificación comercial en centros históricos

Romera

Martı́n

Lama

et al. 2023

dag

View full text Add to dashboard Cite

La intensificación del turismo en los ámbitos urbanos y sus efectos sobre el tejido comercial tradicional representan dos líneas de investigación interconectadas en geografía. Este trabajo tiene como objetivo analizar la evolución de la actividad comercial en el centro histórico de Sevilla en el periodo de mayor crecimiento turístico de la ciudad (2010-2019). Para ello, se ha explotado el directorio de establecimientos con actividad económica de Andalucía para clasificarlos en función de su mayor o menor conexión con el consumo de los visitantes. Se observa una marcada basculación de la oferta comercial hacia las actividades más vinculadas al turismo y el ocio, en detrimento de las ligadas a la población residente. Para finalizar, se reflexiona sobre la incidencia del mantenimiento del tejido comercial tradicional en la identidad urbana y la calidad de vida del vecindario.

show abstract