Estimating the spatial and time decay impacts of a local event

Short Abstract

This paper studies the spatial and temporal decay impacts of a local event on tourism accommodation in a region. The results show that the day of the event, the number of occupied rooms, ADR and revenue reach a marked peak. Moreover, it shows the presence of a time decay impact on revenue, which is asymmetric in favour of the days before the event. A spatial panel data regression method has been employed. The case study concerns Ironman Triathlon event and its impact on the Airbnb listings in the Spanish region of Vitoria-Gasteiz in 2019.

Type of Submission

Paper Presentation

Location

Gran Canaria

Extended abstract Ironman.pdf (111 kB)
Revised Submission

Participation

Attend the conference at Gran Canaria in person.

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Estimating the spatial and time decay impacts of a local event

Gran Canaria

This paper studies the spatial and temporal decay impacts of a local event on tourism accommodation in a region. The results show that the day of the event, the number of occupied rooms, ADR and revenue reach a marked peak. Moreover, it shows the presence of a time decay impact on revenue, which is asymmetric in favour of the days before the event. A spatial panel data regression method has been employed. The case study concerns Ironman Triathlon event and its impact on the Airbnb listings in the Spanish region of Vitoria-Gasteiz in 2019.

https://docs.lib.purdue.edu/itsa/ITSA2022/ITSA2022/39