Quantitative assessment of the impact of climate change to the tourism of Tønsberg, Norway

A model is developed to assess the impact of a changing climate to the tourism of the town of Tønsberg, offering data suitable for evaluating the downstream implications to related business sectors. The methodology comprises downscaled data from EuroCORDEX scenarios, weather station observations, and records of visitors to museums of the municipality. To achieve this, correlation patterns are sought between the weather station observations and monthly/yearly visitor numbers. The highest correlation was found to be provided by the mean temperature over the weekends, which complies well with the nature of Tønsberg as a short (sub-daily) visit destination over weekends, without overnight stays. By developing a regression model and tying it to local weather predictions derived from EuroCORDEX, we are able to quantify the probabilistic distribution of yearly visitors and observe the potential effects of a changing climate. Assuming all else remains as is, this shows benefits for the tourism of Tønsberg, befitting its northern coastal (non-alpine) nature. The methodology presented is general enough to be applicable to other cities as long as sufficient data is available.

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Institutions

Publication Details

Journal
International Journal of Disaster Risk Reduction
Published
2025-02-26
DOI
https://doi.org/10.1016/j.ijdrr.2025.105351
Citations
2
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
8.40

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article

Quantitative assessment of the impact of climate change to the tourism of Tønsberg, Norway

Dimitrios Vamvatsikos, Akrivi Chatzidaki, Evdoxia Karaferi, Solstad Jørgen
2 citations
International Journal of Disaster Risk Reduction
Diverse Aspects of Tourism Research
8.40
article

Quantitative assessment of the impact of climate change to the tourism of Tønsberg, Norway

Dimitrios Vamvatsikos, Akrivi Chatzidaki, Evdoxia Karaferi, Solstad Jørgen
article en
2 citations

Abstract

A model is developed to assess the impact of a changing climate to the tourism of the town of Tønsberg, offering data suitable for evaluating the downstream implications to related business sectors. The methodology comprises downscaled data from EuroCORDEX scenarios, weather station observations, and records of visitors to museums of the municipality. To achieve this, correlation patterns are sought between the weather station observations and monthly/yearly visitor numbers. The highest correlation was found to be provided by the mean temperature over the weekends, which complies well with the nature of Tønsberg as a short (sub-daily) visit destination over weekends, without overnight stays. By developing a regression model and tying it to local weather predictions derived from EuroCORDEX, we are able to quantify the probabilistic distribution of yearly visitors and observe the potential effects of a changing climate. Assuming all else remains as is, this shows benefits for the tourism of Tønsberg, befitting its northern coastal (non-alpine) nature. The methodology presented is general enough to be applicable to other cities as long as sufficient data is available.

International Journal of Disaster Risk ReductionVol. 120
National Technical University of Athens (GR), Telemark Fylkeskommune (NO)
Hellenic Foundation for Research and Innovation, H2020 Excellent Science, H2020 Marie Skłodowska-Curie Actions
Decent work and economic growth
Openalex Percentile: Top 4%
Diverse Aspects of Tourism Research
8.40
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