Evidence map›Paper›PMID 27025495›Full record

ArticleInternational journal of biometeorology2016

Weather sensitivity for zoo visitation in Toronto, Canada: a quantitative analysis of historical data.

Micah J Hewer, William A Gough

Abstract readHistorical Article
PubMed Publisher
In one paragraph

Article in International journal of biometeorology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Scoping review of adult-oriented outdoor play publications in Canada.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2023
    Article
  2. Article
  3. Article
  4. Weather influences on zoo visitation (Cabárceno, Northern Spain).International journal of biometeorology · 2021
    Article
  5. Article
  6. Article
  7. Feeding Enrichment in a Captive Pack of European Wolves (Animals : an open access journal from MDPI · 2019
    Article
  8. Article
  9. Biometeorology for cities.International journal of biometeorology · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Micah J HewerUniversity of Toronto, Toronto, ON, Canada. micah.hewer@mail.utoronto.ca.
William A GoughUniversity of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on a case study of the Toronto Zoo (Canada), multivariate regression analysis, involving both climatic and social variables, was employed to assess the relationship between daily weather and visitation. Zoo visitation was most sensitive to weather variability during the shoulder season, followed by the off-season and, then, the peak season. Temperature was the most influential weather variable in relation to zoo visitation, followed by precipitation and, then, wind speed. The intensity and direction of the social and climatic variables varied between seasons. Temperatures exceeding 26 °C during the shoulder season and 28 °C during the peak season suggested a behavioural threshold associated with zoo visitation, with conditions becoming too warm for certain segments of the zoo visitor market, causing visitor numbers to decline. Even light amounts of precipitation caused average visitor numbers to decline by nearly 50 %. Increasing wind speeds also demonstrated a negative influence on zoo visitation.

Indexed as

WeatherHistory, 20th CenturyHistory, 21st CenturyHumansOntarioRecreationRegression AnalysisSports and Recreational FacilitiesBehavioural thresholdsTourism climatologyUrban outdoor tourismWeather sensitivityZoo visitation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.