This research was conducted by Harold E. Cuffe at Victoria University Wellington, New Zealand
Summary
This study analysed the effect of rain on museum attendance. Morning rain increases visitor numbers in the mornings to a significant degree, while afternoon rain has less of an impact on visitors. By using data collected throughout the day (rather than simply day data), this research provides a more accurate picture of how visitor numbers vary as a result of weather conditions.
Weather is a major factor in how people choose indoor and outdoor activities
Attendance
data was collected for the Te Papa Museum in New Zealand (chosen for its
similarity with many other prestigious museums in the world) where rain occurs
one in four days in a year, offering ample opportunity for the data to be generalised
beyond just this museum. The
weather forecast has less of an impact than one would believe, as this research found that most decisions
are made in the moment, and so driven by current or imminent weather conditions. During
the weekend and holiday period, when visitors are already willing to spend time
on cultural activities, all-day rainfall positively impacts museum attendance.
Precipitation impacts how
much people spend
Rain increases the ticket sales for temporary, pay-to-visit exhibitions throughout the day, driving up revenue by 8-13 per cent, with mornings remaining the most profitable time of day. The cost of paying for an exhibition also encourages longer stays and this influences foreign visitors in particular. In response to weather conditions, institutions should staff the museum accordingly and distribute tasks among its employees to respond to the number of attendees. Museums could buy time-specific targeted adverts, for instance timed for the mornings when attendance is at its highest on rainy days.
This summary is by Adina Stroia, King’s Knowledge Exchange Associate
Title | Rain and museum attendance: Are daily data fine enough? |
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Author(s) | Cuffe, H. E. |
Publication date | 2018 |
Source | Journal of Cultural Economics, Vol 42, Iss 2, pp 213–241 |
Link | https://link.springer.com/article/10.1007/s10824-017-9298-9 |
Author email | Harold.Cuffe@vuw.ac.nz |