An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz city
The present study has been performed to assess the urban tourism sustainable drivers in Ahvaz city using the descriptive-analytical methodology. Regarding the main object of the study, two secondary objectives of recognizing the priority of using tourism sustainability drivers and recognizing the im...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2020-03-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Gardishgarī |
| Subjects: | |
| Online Access: | https://tms.atu.ac.ir/article_11050_b61c374e30a2486319ead0d467c152ef.pdf |
| _version_ | 1797377341110878208 |
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| author | Saeed Maleki Hadi Alizadeh Mohammad Javad Kamelifar |
| author_facet | Saeed Maleki Hadi Alizadeh Mohammad Javad Kamelifar |
| author_sort | Saeed Maleki |
| collection | DOAJ |
| description | The present study has been performed to assess the urban tourism sustainable drivers in Ahvaz city using the descriptive-analytical methodology. Regarding the main object of the study, two secondary objectives of recognizing the priority of using tourism sustainability drivers and recognizing the impact of drivers on the sustainability of urban tourism in Ahvaz have been followed in the research process. For data collection by surveying methods, the opinions of 30 experts related to the field of research have been gathered using a questionnaire. To analyze the priority of drivers, Multilayer Perceptron Neural Network (MPNN) approach, and to analyze the effects of drivers on the sustainability process of urban tourism in Ahvaz, linear regression analysis (R-Linear), logarithmic (R-Logarithmic) and logistics (R-Logistic) has been used. The results show that according to the results of regression models, except for economic and social sustainability drivers, other drivers do not affect the sustainability process of Ahvaz urban tourism. On the other hand, the results of the neural network approach indicate that political sustainability driver, based on the opinion of experts with a significance of 0.235, has a higher priority to improve conditions and create conditions for sustainability in urban tourism in Ahvaz. |
| first_indexed | 2024-03-08T19:51:11Z |
| format | Article |
| id | doaj.art-59e378e19bb14840a7e3485a400651cd |
| institution | Directory Open Access Journal |
| issn | 2322-3294 2476-597X |
| language | fas |
| last_indexed | 2024-03-08T19:51:11Z |
| publishDate | 2020-03-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Gardishgarī |
| spelling | doaj.art-59e378e19bb14840a7e3485a400651cd2023-12-24T07:42:41ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Gardishgarī2322-32942476-597X2020-03-01154918120110.22054/tms.2020.1105011050An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz citySaeed Maleki0Hadi Alizadeh1Mohammad Javad Kamelifar2Professor of Geography and Urban planning, Shahid Chamran University of Ahvaz, Ahvaz, Iran.Ph.D. In Geography and Urban planning, Shahid Chamran University of Ahvaz, Ahvaz, IranPh.D. In Geography and Urban planning, Shahid Chamran University of Ahvaz, Ahvaz IranThe present study has been performed to assess the urban tourism sustainable drivers in Ahvaz city using the descriptive-analytical methodology. Regarding the main object of the study, two secondary objectives of recognizing the priority of using tourism sustainability drivers and recognizing the impact of drivers on the sustainability of urban tourism in Ahvaz have been followed in the research process. For data collection by surveying methods, the opinions of 30 experts related to the field of research have been gathered using a questionnaire. To analyze the priority of drivers, Multilayer Perceptron Neural Network (MPNN) approach, and to analyze the effects of drivers on the sustainability process of urban tourism in Ahvaz, linear regression analysis (R-Linear), logarithmic (R-Logarithmic) and logistics (R-Logistic) has been used. The results show that according to the results of regression models, except for economic and social sustainability drivers, other drivers do not affect the sustainability process of Ahvaz urban tourism. On the other hand, the results of the neural network approach indicate that political sustainability driver, based on the opinion of experts with a significance of 0.235, has a higher priority to improve conditions and create conditions for sustainability in urban tourism in Ahvaz.https://tms.atu.ac.ir/article_11050_b61c374e30a2486319ead0d467c152ef.pdfsustainabilityurban tourismneural networksregression analysisahvaz |
| spellingShingle | Saeed Maleki Hadi Alizadeh Mohammad Javad Kamelifar An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz city Muṭāli̒āt-i Mudīriyyat-i Gardishgarī sustainability urban tourism neural networks regression analysis ahvaz |
| title | An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz city |
| title_full | An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz city |
| title_fullStr | An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz city |
| title_full_unstemmed | An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz city |
| title_short | An Analysis of the Urban Tourism Sustainability Patterns in Ahvaz city |
| title_sort | analysis of the urban tourism sustainability patterns in ahvaz city |
| topic | sustainability urban tourism neural networks regression analysis ahvaz |
| url | https://tms.atu.ac.ir/article_11050_b61c374e30a2486319ead0d467c152ef.pdf |
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