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Aliakbar Anabestani, Mahdi Masoumi,
Volume 21, Issue 63 (2-2022)

In the last decade, the lake tourism as one of the newest branches of natural tourism has been under attention of scientific societies. So that this type of tourism has grown significantly and many economic benefits for host communities has brought. The aim of this study is evaluating the factors affecting lake tourism development in Iran. In this regard, a wide variety of indicators in the dimensions of attractions, infrastructure, cultural acceptance, economic, social and environmental In the form of a questionnaire tourism experts and field studies were examined. For binary comparison and a final weight criteria and options, of AHP fuzzy, ANP and GRA techniques in the form of questionnaires and 20 teachers and experts from organizations linked to tourism have been used. The results confirms that: Based on the results of the paired comparison of factors affecting lake tourism of the development using multiple fuzzy AHP and ANP in terms of tourism experts, Criteria attractions by weight of 0.247 in fuzzy AHP and 0.246  in the ANP model and The criteria infrastructural factors weighing 0.229 in fuzzy AHP and 0.234 in the ANP model Has the greatest impact on the lake tourism of development. Finally, with the objective of ranking factors affecting the lake tourism of development in the villages surrounding the lake, using techniques GRA, found that conditions Dowbaneh and dasht Arjan villages are better than other villages and Qashm qavi and Arab Famour villages at the lowest level of lake tourism of  the development have been.

Zahra Alizadeh -, Dr Mohammad Taghi Masoumi, Dr Hossein Nazmfar, Dr Akbar Abravesh,
Volume 24, Issue 73 (8-2024)

Today, with the expansion of urbanization and the increase in the population of cities, urban poverty is one of the important problems that it seems necessary to fight. In the 21st century, one of the indicators of urban progress is the issue of low urban poverty (Lemanski and Marx, 2015). In order to analyze and evaluate the indicators of urban poverty in Rasht city in different blocks and to cluster social poverty in this city (very poor, poor, average, wealthy, very wealthy), to analyze social poverty and extract spatial hot spots from Arc software. Gis was used. And the extraction of different areas of the city was calculated from the R software and by the multi-indicator Prometheus decision-making method, where the weight of the indicators was obtained by the ANP method from the raw data of the statistical blocks of Rasht city in the census of 2015. The findings of the research showed that comparatively, the central parts of the city are covered by medium blocks, and in the outer and peripheral parts of the city center, two hot spot areas are observed, which contain very prosperous blocks. Cold spots are also clearly visible on the outer edge of the city and they cover very poor and poor blocks, and except for the hot and cold spots, the city is mostly in the form of mild spots and most of the blocks are in poor condition. They are placed in average social poverty. Also, based on the findings of the research, most of the deprived areas in terms of social poverty in Rasht city are located in the north-west and north-east parts of the city.


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