Evidence map›Paper›PMID 30969374›Full record

ArticleInternational journal of biometeorology2019

Effects of weather factors on recreation participation in a humid subtropical region.

Ramesh Paudyal, Taylor V Stein, Birendra Kc, Damian C Adams

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
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

5 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Article
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

4 authors at 2 institutions in 1 country.

Ramesh PaudyalUniversity of Florida, Gainesville, FL, USA. rpaudyal@ufl.edu.ORCID http://orcid.org/0000-0002-9082-7583
Taylor V SteinUniversity of Florida, Gainesville, FL, USA.
Birendra KcUniversity of North Texas, Denton, TX, USA.
Damian C AdamsUniversity of Florida, Gainesville, FL, USA.
University of Florida · USUniversity of North Texas · US

Funding

USDA Forest Service National Forests in Florida N/A
6 · The paper itself

Abstract

This study examines effects of weather, temporal factors, and gasoline price on outdoor recreation participation by using a time series model. We obtained more than 5 years of daily outdoor recreation visitation data by using infrared mechanical counters on a section of the Florida National Scenic Trail (FNST). Results showed that days with daily maximum temperatures of 16-22 °C brought the largest number of visitors, which suggests this is the most comfortable range of daily maximum temperatures to recreate on the FNST. Daily maximum temperatures below 6 °C and above 31 °C and heat index values above 38 °C brought significantly lower visitor numbers, suggesting these values are temperature thresholds for this region in a recreation context. A seasonal autoregressive integrated moving average model showed significant negative effects of temperature, relative humidity, cold snaps, and gasoline price and a positive effect of weekends and public holidays on recreational visitations to this trail. Days with heavy rainfall (> 2.54 cm) or a high heat index (≥ 35 °C) were likely to negatively affect recreation participation not only on the same day, but also on the next normal weather day. These findings imply that managers of facilities that need staffing and other resources should expect to receive fewer visitors on days following adverse weather conditions, even if that day has normal weather conditions.

Indexed as

Hot TemperatureWeatherFloridaRecreationTemperatureDecision-makingLag effectNature-based tourismTourism climatologyWeather preferencesWeather thresholds

Identifiers

PMID30969374
OpenAlexW2937006337

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.