2006
DOI: 10.3354/cr032075
|View full text |Cite
|
Sign up to set email alerts
|

Climate potential and tourist demand in Catalonia (Spain) during the summer season

Abstract: This article shows how the study of climate-preference demand (through surveys, interviews, behavior observation, etc.) is a key factor in the development of a catalog of types of weather suitable for tourism, which can then be applied to present or future climatic scenarios with the goal of evaluating climate-tourism potential. The proposal utilizes the weather-types method of Besancenot, Mounier and de Lavenne, which incorporates 7 climate variables and comfort indexes relevant to general tourism activities,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
22
0
4

Year Published

2007
2007
2017
2017

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 59 publications
(29 citation statements)
references
References 9 publications
(11 reference statements)
3
22
0
4
Order By: Relevance
“…Stated preferences studies are used to derive perceived ideal, acceptable and unacceptable weather conditions and thresholds. Apart from general assessments [30], there are studies focusing on beach tourism (e.g., [10,29,[31][32][33]), urban tourism [10,29,34], mountain tourism [35,36] or camping tourism [37]. These studies show that tourists' weather preferences differ between tourism environments, such as beach, urban and mountain tourism.…”
Section: Introductionmentioning
confidence: 99%
“…Stated preferences studies are used to derive perceived ideal, acceptable and unacceptable weather conditions and thresholds. Apart from general assessments [30], there are studies focusing on beach tourism (e.g., [10,29,[31][32][33]), urban tourism [10,29,34], mountain tourism [35,36] or camping tourism [37]. These studies show that tourists' weather preferences differ between tourism environments, such as beach, urban and mountain tourism.…”
Section: Introductionmentioning
confidence: 99%
“…Statistical models, including multiple linear regressions, have examined the effect of weather on visitation numbers at tourist attractions [50][51][52][53][54][55][56][57][58][59] and econometric models have estimated tourism-climate demand functions based on international tourism arrivals data at both a regional [60][61][62] and global scale [63,64]. Researchers have also observed tourists' in situ behavioral response to weather conditions (e.g., via webcams) [65][66][67] and have surveyed tourists directly about their preferred climatic conditions [25,29,38,42,[68][69][70][71][72][73][74].…”
Section: Climate As a Resource For Tourismmentioning
confidence: 99%
“…A new generation of climate indices for tourism is now being developed that address this shortcoming by designing the index to integrate overriding effects ). An alternative is to classify weather according to a limited number of different "weather types" (Besancenot 1990;Gómez Martín 2006).…”
mentioning
confidence: 99%