جستجوی مقالات مرتبط با کلیدواژه "roudbar" در نشریات گروه "جغرافیا"

The population of Rudbar in northern Iran, is due to Steep slopes of topography, Sloping Loose Materials, active tectonic phases, Construction of roads and railways, from areas prone to landslide events .In this reaserch, in the first phase, based on ground surveys, a geologic map of 1: 25,000, satellite images and  other data of Rudbar region, range and status of landslides of the region were identified. Structural and weight factors (Slope loading) had the greatest impact on the occurrence of this incident, and the main motive for most of them is the structural factor. This important requirement of the determination of how tectonic activities are necessary to predict and control the phenomenon of landslide in the substructure of Developmental and environment in Rudbar region. therefore, in the second phase of the study, the geomorphic indicators of the mountain front sinuosity (Smf), ratio of valley floor width-valley height (Vf),  stream Length (SL), basin shape (Bs) and asymmetric factor (Af) were used. Then, the results of the indices, as an indicator of the relative tectonic activity (LAT), showed that most sub-basins have high and moderate tectonic activity.  In terms of  width, the high class with an area of 195.55 square kilometers (67.21%) covers total of the area. The spatial integration of the identified landslide zones in the first part of the research with the tectonic zones extracted in the second part shows the adaptation of this zone in the two class. Occurrences zone The landslides of the Fatalak, Lavie, Rudbar, Filde are located in zones with intense tectonic activity, and the landslides of Dashtegan, Talabar, Taklim, Nesfi, Dolatabad, Herzvil are located in moderate tectonic active zones. Detailed studies on engineering and geological in larger scales should be undertaken to prevent future landslides and more detailed reports for any developmental and environmental activities in the Rudbar region.

Tourism development in rural areas as the development of any other activity entails different components. Existence of interaction between the local community and tourism are the factors effective on the tourism development. In this regard, Cultural intelligence is of effective factors influencing on the interaction of host community and tourists and its high level can provide the intent of host community and its support for tourism. On this basis, in the present study, the cultural intelligence and its effects on the support and tendency of the host community from tourism development in the villages of Roudbar-e Gasran district has been studied. The present study is an applied one and has been done using analytical descriptive methodology and in a survey manner. Our statistical society is the population of local households resident at our under-study villages, in which 276 villages have been selected as the sample and classified by random sampling method. The obtained results indicate that the cultural intelligence of statistical sample is at a desireable level and among the different aspects, strategy aspect is placed at the highest priority. Also, based on the results, it was revealed that cultural intelligence affects on the inclination and support of the host community toward tourism development which is due to the two aspects of motivation and behavior of cultural intelligence.

Like other tourism models, second-home tourism leads to various consequences in rural areas. Due to the nature and development of this model, a lot of physical-environmental changes have been brought about in rural areas. For persistent development of second-home tourism, understanding both the impacts and the consequences of this model seem to be necessary. In Iran, one of those rural areas in which this model has been expanded and incorporated into inhabitants’ lives, is the rural area of Rudbar Qasran. Accordingly, this study aims at exploring the environmental-physical impacts of second-home tourism development in this geographical area. This applied study benefitted from the descriptive/analytic methods of data analysis. Library and field data collection methods were employed to collect the data. In the field method, a questionnaire was utilized in which the Cochran formula was used; 238 households were selected as the statistical sample. Moreover, descriptive/inferential statistical methods were employed to interpret the collected data. The findings showed that the model of second-home tourism had the greatest impact on the index of environmental changes and the least effect on the infrastructural services improvements. It was also found that none of the changes was statistically significant. The results also revealed that there were significant differences in views of people whose jobs were dependent on tourism compared with those who had other jobs regarding the effects of second-home tourism development.