3 research outputs found

    Determining the Climate Calendar of Tourism in Sistan-Baluchestan Province, Iran

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    Sistan and Baluchestan Province spans five degrees latitude, with variations in natural phenomena, with cultural and historical resources and beautiful beaches in the south that have a great potential in attracting tourists. To investigate the relationship between climate and tourism, the climate index has been developed so that data are presented showing the individuals’ reactions to climate. The current study chose the tourist major cities of Iran and meteorological data was used to calculate the 20-year period up to 2012. In order to calculate the three climate indices (Predict Mean Vote - PMV, the Physiological Equivalent Temperature - PET and the Standard Effective Temperature - SET), RayMan software was used. These indices were then discussed and the spatial distribution of climatic comfort was represented in GIS environment. The most important national, religious, historical, and natural places in the province were presented and the climate calendar of tourism was identified. The results showed that tourism is concentrated in two periods, hot and cold. The cold period in southern cities such as Chabahar, Konarak and Sarbaz makes them tourist destinations, while the cities of Zahedan, Khash, Zabol, located at higher latitudes, are chosen tourist destination in spring and autumn. Summer has the highest thermal stress in the province

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    The excessive growth of cities and unbalanced growth of them which is resulted from immigrations and IJSER population growth are the main problems of Iran urban network. These problems lead to the excessive population density, the increase of construction activities, physical development of urban centers, and destruction of the natural ecosystem. The present paper intends to study the role of population change in spatial development of Zahedan between 2001 and 2011 in Iran. According to the research studies, the residents’ information is processed in SPSS environment and via T-test, one-sample test, and Phi and Cramer’s V test. The results indicate that the mean of effective economic and political factors in Zahedan, the mean of the number of organizations, and the mean of population equals 3.47 and it is higher than the theoretical mean equal to 3. The level of significance of the test is less than 0.05 (sig = 0.000). In other words, economic and political factors influence Zahedan population development and it indicates that 61.4 percent of immigrant
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