Evidence map›Paper›PMID 38036707›Full record

ArticleInternational journal of biometeorology2024

Weather, weekday, and vacation effects on webcam recorded daily visitor numbers in the alpine winter season.

Simon Kloos, Carina Bigalke, Matthias Neumair, Annette Menzel

Open access · hybridAbstract read
In one paragraph

Article in International journal of biometeorology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 12% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Simon KloosTUM School of Life Sciences, Ecoclimatology, Technical University of Munich, 85354, Freising, Germany. simon.kloos@tum.de.ORCID http://orcid.org/0000-0002-9242-1456
Carina BigalkeTUM School of Life Sciences, Ecoclimatology, Technical University of Munich, 85354, Freising, Germany.
Matthias NeumairTUM School of Life Sciences, Life Science Systems, Technical University of Munich, 85354, Freising, Germany.
Annette MenzelTUM School of Life Sciences, Ecoclimatology, Technical University of Munich, 85354, Freising, Germany.
Technical University of Munich · DEInstitute for Advanced Study · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Winter tourism is an important economic factor in the European Alps, which could be exposed to severely changing meteorological conditions due to climate change in the future. The extent to which meteorology influences winter tourism figures has so far been analyzed mainly based on monthly or seasonal data and in relation to skier numbers. Therefore, we record for the first time daily visitor numbers at five Bavarian winter tourism destinations based on 1518 webcam images using object detection and link them to meteorological and time-related variables. Our results show that parameters such as temperature, cloud cover or sunshine duration, precipitation, snow depth, wind speed, and relative humidity play a role especially at locations that include other forms of winter tourism in addition to skiing. In the ski resorts studied, on the other hand, skiing is mostly independent of current weather conditions, which can be attributed mainly to artificial snowmaking. Moreover, at the webcam sites studied, weekends and vacation periods had an equal or even stronger influence on daily visitor numbers than the current weather conditions. The extent to which weather impacts the (future) visitor numbers of a winter tourism destination must therefore be investigated individually and with the inclusion of non-meteorological variables influencing human behavior.

Indexed as

RecreationWeatherHumansSeasonsSnowTemperatureMeteorologyObject detectionSkiingVacationWeekendWinter tourism

Identifiers

PMID38036707
PMCPMC10794479
OpenAlexW4389209987

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.