| Title |
Evaluating the climate capabilities of the coastal areas of southeastern Iran for tourism: a case study on port of Chabahar
|
|---|---|
| Published in |
International Journal of Biometeorology, March 2018
|
| DOI | 10.1007/s00484-018-1516-4 |
| Pubmed ID | |
| Authors |
Azadeh Arbabi Sabzevari, Morteza Miri, Tayeb Raziei, Hassan Oroji, Mojtaba Rahimi |
| Abstract |
The present study aims to evaluate the influence of climate conditions on tourism in the port of Chabahar, southeastern Iran, using the climate comfort indices (CIT, PMV, and TCI) and the field data relative to the tourist satisfaction. According to the computed TCI, the autumn-winter season (October-April) is climatically favorable for tourism in Chabahar, but it is ideal during January to March. Based on the computed PMV index, the studied region is in the range of climate comfort in most parts of the year. However, when the PMV thermal comfort limits (- 0.5 < PMV < 0.5) and the PPD limits (0 < PPD < 10) are considered, only the March and November are included in the thermal comfort range. The CIT index also indicates that all months of the year are acceptable for tourism that does not coincide with the reality of the region. However, by blending the PMV and the tourist's degree of satisfaction, a slight modification was made to the CIT index to better represent the reality of the region regarding the climate comfort. The modified CIT gave a different result, reflecting the importance of tourists' perceptions in defining the climate comfort rather than merely relying on the climate variables. The modified CIT also suggests November-March as a period with favorable to ideal climate condition for tourism in Chabahar which is a more realistic assessment of climate condition of the region as perceived by the tourists interviewed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 27% |
| Student > Ph. D. Student | 2 | 18% |
| Researcher | 1 | 9% |
| Librarian | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 2 | 18% |
| Earth and Planetary Sciences | 1 | 9% |
| Energy | 1 | 9% |
| Materials Science | 1 | 9% |
| Design | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 March 2018.
All research outputs
#2,596,484
of 23,026,672 outputs
Outputs from International Journal of Biometeorology
#258
of 1,299 outputs
Outputs of similar age
#56,917
of 333,763 outputs
Outputs of similar age from International Journal of Biometeorology
#15
of 30 outputs
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