Proximity to Hotels and Airbnb Home Sharing Accommodations

Akhtari, Mitra

doi:10.1007/978-3-030-61274-0_9

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…For example, accommodations found on platforms such as Airbnb (instead of hotel websites) are typically spread out further into rural areas, combating the lack of affordable and accessible accommodations available in these areas. In urban spaces, Airbnbs are also abundant, rivaling the locations and sometimes even the benefits and amenities of hotel accommodations (Akhtari, 2021). However, lodging accommodations may be more expensive in urban areas where proximity to a notable or large‐scale attraction will typically increase the cost of hotel accommodations, as hotel guests are not only paying for their accommodations, but also for ease of access to attractions (Conroy et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…This new factor in the market should elicit new approaches in analysis. In competing industries and platforms such as Airbnb, geolocation data plays a larger role, as its distribution of accommodations and proximity to the average consumer rivals and often exceeds traditional hotels across the contiguous United States (Akhtari, 2021). Our research proposes the use of distance‐based measures, which we believe can lead to more universal, generalizable research findings on spatial competition effects.…”

Section: Introductionmentioning

confidence: 99%

“…Basic economic location analysis often relies on the spatial competition model, which states that firms locate themselves further away from one another in order to benefit from localized monopolies: close proximity is competition (Chung & Kalnins, 2001; Rezvani & Rojas, 2020). There is much evidence to suggest that firms can benefit from agglomeration: creating larger, denser markets with a greater range of options, decreased consumer search costs, and intra‐industry benefits (Akhtari, 2021; Chung & Kalnins, 2001; Lall et al, 2004; Weidenfeld et al, 2016; Yang, 2016). The tension between spatial competition effects and agglomeration has been a long‐standing issue for researchers (Chamberlin, 1933; Chung & Kalnins, 2001; Rezvani & Rojas, 2020; Varian, 1980).…”

Section: Introductionmentioning

confidence: 99%

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Keeping the competition close: The impact of competitor distance in the lodging industry

Park

Kim

Frye³

2022

Journal of Tourism Research

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This study applies a distance-based measurement outlining market boundaries for competition in the lodging industry and investigates the effects of competition across a range of distances. Predetermined administrative boundaries have been the conventional metric used when estimating competition effects in a given geographical area in the lodging industry. For this study, distances are calculated using the location information of 45,623 hotels in the United States extracted from the Smith Travel Research Hotel Census. Our findings suggest a U-shaped relationship: hotel room prices fall as relative distance increases, due to increasing negative price pressure, until a threshold distance is reached (a radius of 20 km), after which price pressure falls and prices begin to increase. These research findings have implications for hotel managers with respect to competitor management and for hotel investors interested in locating and developing future accommodation establishments.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Keeping the competition close: The impact of competitor distance in the lodging industry

Park

Kim

Frye³

2022

Journal of Tourism Research

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Geht Tourismus alle an? Teilnahme der deutschen Gemeinden am Übernachtungstourismus

Schmücker¹,

Reif

2023

Zeitschrift Für Tourismuswissenschaft

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Zusammenfassung Die Interaktion von Tourist:innen und Einheimischen und damit die Akzeptanz von Tourismus ist verstärkt in den Blick von Tourismusforschung und Destinationspraxis geraten. Studien zeigen, dass fehlende Tourismusakzeptanz ein punktuelles Problem ist und dass die Übernachtungsintensität einen Einfluss auf die Reaktion von Einheimischen hat. Bislang fehlen jedoch flächendeckende Daten zur Übernachtungsintensität und -konzentration der Gemeinden in Deutschland. In dieser Studie werden erstmals die statistisch erfassten Übernachtungsangebote und zusätzlich die Angebote in den Buchungssystemen von Airbnb und Fewo-direkt mit dem Ziel zusammengeführt, eine gemeindescharfe Abbildung der Übernachtungskonzentration und -intensität zu erarbeiten. Die Ergebnisse zeigen zum einen, dass 81 % der Gemeinden in Deutschland übernachtungstouristische Angebote vorhalten. In diesen Gemeinden leben 98 % der Einwohnerinnen und Einwohner. Tourismus geht also fast alle an. Die Ergebnisse zeigen außerdem, dass Privatvermietungen nicht zu einer Entzerrung der räumlichen Konzentration führen, das Konzentrationsmaß ist bei Privatvermietungen höher als bei statistisch meldepflichtigen Betrieben.

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Proximity to Hotels and Airbnb Home Sharing Accommodations

Cited by 2 publications

References 6 publications

Keeping the competition close: The impact of competitor distance in the lodging industry

Keeping the competition close: The impact of competitor distance in the lodging industry

Geht Tourismus alle an? Teilnahme der deutschen Gemeinden am Übernachtungstourismus

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