Document Type : Research Paper

Authors

1 Postdoctoral student, Department of Environmental Science, Natural Resources Faculty, University of Tehran, ‎Karaj, Iran

2 Professor, Department of Environmental Science, Natural Resources Faculty, University of Tehran, Karaj, ‎Iran

Abstract

Improper recreational activity development can have destructive ecological and economic impacts. Identification and proportionality measurement for the principled and practical implementation of these activities is a suitable solution to reduce their negative impacts on tourism destinations and natural ecosystems. Accordingly, in the present study, the recreational activities demanded by tourists in the Hara protected area were identified, and then these activities were investigated according to a list of locational indicators. Spatial distribution of recreational activities in the Hara area demonstrated that due to the land and coastal-marine nature of the requested activities, as well as the topographical and climatic conditions of the area, most of these activities can be implemented in the coastal areas and waters. According to the results, 12 recreational activities from 43 identified activities were selected by tourists, and among these activities, "Visit the forest with a balloon" received the highest score, while the lowest score is assigned to "sunbathing on the coast". In addition, among the 14 spatial indicators, "precipitation intensity" and "suitable time for tourism" have been investigated and analyzed in most recreational activities, while other indicators such as "maximum height above sea level" affect a limited number of activities. On the other hand, the most important indicator in the implementation of these activities is the climate suitable for tourism and favorable weather conditions in this area. In general, the identification and investigation of recreational activities and spatial indicators in tourism destinations, especially in protected areas that have legal prohibitions and biological restrictions for human activities development, is essential and can help in the planning and proper management of these areas.
Introduction
Today, tourism activities can play an important role along with economic, social, cultural, and ‎political development to sustain human life. Recreational activities can be an important ‎economic activity, but in case of unsuitable development, it also has destructive ecological and ‎economic impacts. Correct planning for basic and practical implementation of these activities ‎can be effective in reducing their negative impacts. In this regard, one of the most important ‎topics discussed in the management and planning of tourism in natural areas is how to select ‎recreational activities that can be developed and demanded by tourists in these areas. To ‎achieve sustainable development, proportionality measurement and assessment of the ‎environment and recreational activities are necessary and essential before any planning.‎
Materials and Methods ‎
To identify recreational activities that can be developed in the Hara protected area based on ‎experts' viewpoints and available documents, a list of recreational activities was prepared. Then ‎‎43 recreational activities were identified and presented to tourists in the form of a visual ‎questionnaire to determine their selected activities and prioritize them in the numerical range of ‎‎1 to 10. According to Cochran's relationship, the sample size for tourists was determined to be ‎‎96. In this regard, by randomly distributing 100 questionnaires among tourists, their demand ‎related to the recreational activities available in this area was identified and surveyed. In the ‎next step, the requested activities were screened and selected. The basic selection of activities in ‎this study is based on more than 10% of the total priorities, which among leisure activities with ‎an average of more than 100 and based on the frequency of the first 3 selections (priorities 1 to ‎‎3) have the highest demand among tourists. It should be mentioned that the final score of the ‎activities is also standardized and reviewed according to the highest sum of the priority ‎coefficients. After examining the results of questioning by tourists and summarizing the types ‎of recreational activities in demand in the area, to examine recreational activities, a series of ‎location indicators were presented according to the nature of land and coastal-sea activities. ‎Accordingly, according to the relevant study documents, 14 indicators include; slope, maximum ‎height above sea level, coast type, wind intensity, precipitation intensity, water flow speed, ‎maximum wave height, minimum water depth, maximum water depth, suitable time ‎‎(comfortable climate), viewing angle, viewing direction, maximum viewing distance, and ‎landscape composition was used for spatial proportionality of leisure activities.‎
Discussion and Results ‎
As the results revealed, 12 recreational activities from 43 identified activities were selected by ‎tourists, and among these activities, "visit the forest with a balloon" received the highest score, ‎while the lowest score is assigned to "sunbathing on the coast". In addition, among the 14 spatial ‎indicators, "precipitation intensity" and "suitable time for tourism" have been investigated and ‎analyzed in most recreational activities, while other indicators such as "maximum height above ‎sea level" affect a limited number of activities. On the other hand, the most important indicator ‎in the implementation of these activities is the climate suitable for tourism and favorable ‎weather conditions in this area. Considering the land and coastal-sea nature of the selected ‎activities, as well as the topographical and climatic conditions of the area, the spatial distribution ‎of most recreational activities is usable in the coastal profile and in the coastal areas and waters.‎
Conclusions ‎
The results indicated that sustainable tourism development depends on the necessity of studying ‎the ability of recreational activities in demand in the tourist destination. Each recreational ‎activity is affected by a range of spatial indicators and also affects the environment.  In general, ‎the identification and investigation of recreational activities and spatial indicators in tourism ‎destinations, especially in protected areas that have legal prohibitions and biological restrictions ‎for human activities development, is essential and can help in the planning and proper ‎management of these areas.‎

Highlights

Introduction

Today, tourism activities can play an important role along with economic, social, cultural, and ‎political development to sustain human life. Recreational activities can be an important ‎economic activity, but in case of unsuitable development, it also has destructive ecological and ‎economic impacts. Correct planning for basic and practical implementation of these activities ‎can be effective in reducing their negative impacts. In this regard, one of the most important ‎topics discussed in the management and planning of tourism in natural areas is how to select ‎recreational activities that can be developed and demanded by tourists in these areas. To ‎achieve sustainable development, proportionality measurement and assessment of the ‎environment and recreational activities are necessary and essential before any planning.‎

Materials and Methods ‎

To identify recreational activities that can be developed in the Hara protected area based on ‎experts' viewpoints and available documents, a list of recreational activities was prepared. Then ‎‎43 recreational activities were identified and presented to tourists in the form of a visual ‎questionnaire to determine their selected activities and prioritize them in the numerical range of ‎‎1 to 10. According to Cochran's relationship, the sample size for tourists was determined to be ‎‎96. In this regard, by randomly distributing 100 questionnaires among tourists, their demand ‎related to the recreational activities available in this area was identified and surveyed. In the ‎next step, the requested activities were screened and selected. The basic selection of activities in ‎this study is based on more than 10% of the total priorities, which among leisure activities with ‎an average of more than 100 and based on the frequency of the first 3 selections (priorities 1 to ‎‎3) have the highest demand among tourists. It should be mentioned that the final score of the ‎activities is also standardized and reviewed according to the highest sum of the priority ‎coefficients. After examining the results of questioning by tourists and summarizing the types ‎of recreational activities in demand in the area, to examine recreational activities, a series of ‎location indicators were presented according to the nature of land and coastal-sea activities. ‎Accordingly, according to the relevant study documents, 14 indicators include; slope, maximum ‎height above sea level, coast type, wind intensity, precipitation intensity, water flow speed, ‎maximum wave height, minimum water depth, maximum water depth, suitable time ‎‎(comfortable climate), viewing angle, viewing direction, maximum viewing distance, and ‎landscape composition was used for spatial proportionality of leisure activities.‎

Discussion and Results ‎

As the results revealed, 12 recreational activities from 43 identified activities were selected by ‎tourists, and among these activities, "visit the forest with a balloon" received the highest score, ‎while the lowest score is assigned to "sunbathing on the coast". In addition, among the 14 spatial ‎indicators, "precipitation intensity" and "suitable time for tourism" have been investigated and ‎analyzed in most recreational activities, while other indicators such as "maximum height above ‎sea level" affect a limited number of activities. On the other hand, the most important indicator ‎in the implementation of these activities is the climate suitable for tourism and favorable ‎weather conditions in this area. Considering the land and coastal-sea nature of the selected ‎activities, as well as the topographical and climatic conditions of the area, the spatial distribution ‎of most recreational activities is usable in the coastal profile and in the coastal areas and waters.‎

Conclusions ‎

The results indicated that sustainable tourism development depends on the necessity of studying ‎the ability of recreational activities in demand in the tourist destination. Each recreational ‎activity is affected by a range of spatial indicators and also affects the environment.  In general, ‎the identification and investigation of recreational activities and spatial indicators in tourism ‎destinations, especially in protected areas that have legal prohibitions and biological restrictions ‎for human activities development, is essential and can help in the planning and proper ‎management of these areas.‎

Keywords

Main Subjects

  1. Asur, F., Sevimli Deniz, S., & Yazici, K. (2020). Visual Preferences Assessment of Landscape Character Types Using Data Mining Methods (Apriori Algorithm): The Case of Altınsaç and Inkoy (Van/Turkey). Agr. Sci. Tech 22 (1), 247-260.
  2. Danehkar, A., & Haddadinia, S. (2010). Prioritization of Ecotourism Criteria in Desert and Semi-Arid Ecosystems by Delphi Method. Natural Resources Management and Development, (2), 21- 32.
  3. Danehkar, A., Mahmoudi, B., & Torabi, A. (2016). Designing and Management of Forest Parks. Agricultural Research, Education & Extension Organization: Agricultural Education and Extension Institute.
  4. Gumede, Th. K., Nzama, A. T., & Mdiniso, J. M. (2022). Evaluating the Effectiveness of the Strategies for Sustaining Nature-Based Tourism amid Global Health Crises: A Global Perspective. Sustainable Built Environment, 1-29.
  5. Ilban, M. O., Yıldırım, H. H., & Chamberlain, J. M. (2017). Determination of tourism activities of the world’s best tourism destinations using the multi-criteria decision-making method. Cogent Social Sciences 3 (1), 1-16.
  6. Jahani, A. (2019). Forest landscape aesthetic quality model (FLAQM): A comparative study on landscape modelling using regression analysis and artificial neural networks. For. Sci 65, 61-69.
  7. Khairabadi, O., Sajadzadeh, H., & Mohamadianmansoor, Sh. (2022). Assessment and evaluation of tourism activities with emphasis on agritourism: The case of simin region in Hamedan City. Land Use Policy 99, 105045.
  8. Krebs, C.J. (1999). Ecological Methodology. Addison-Wesley Educational Publishers. , Menlo Park, 620p.
  9. Maldonado-Oré, E. M., & Custodio, M. (2020). Visitor environmental impact on protected natural areas: An evaluation of the Huaytapallana Regional Conservation Area in Peru. Journal of Outdoor Recreation and Tourism 31, 100298.
  10. Markova, M. (2013). Latgale upland church everyday landscape in development and growth of region and society. Proceedings of the Latvia University of Agriculture Landscape Architecture and Art, 3 (3), 83-89.
  11. Misthos, L. M., Nakos, B., Krassanakis, V., & Menegaki, M. (2019). The effect of topography and elevation on viewsheds in mountain landscapes using geo visualization. International Journal of Cartography, 5 (1), 44-66.
  12. National Meteorological Organization. (2022). Annual report.
  13. Sobhani, P., Esmaeilzadeh, H., Sadeghi, S. M. M., Marcu, M.V., & Wolf, I.D. (2022). Evaluating Ecotourism Sustainability Indicators for Protected Areas in Tehran, Iran. Forests 13, 740.
  14. Spilanis, L., Vayanni, H., & Glyptou, K. (2012). Evaluating the tourism activity in a destination: the case of Samos Island. Etudes Caribéennes, 1-12.
  15. Strickland-Munroa, J., & Moorea, S. (2013). Indigenous involvement and benefits from tourism in protected areas: a study of Purnululu National Park and Warmun Community, Australia. Sustain. Tourism, 21 (1), 26–41.
  16. Thapa, K., King, D., Banhalmi-Zakar, Z., & Diedrich, A. (2022). Nature-based tourism in protected areas: a systematic review of socio-economic benefits and costs to local people. International Journal of Sustainable Development & World Ecology, 29 (7), 625-640.
  17. Xie, W., & Ma, Y. (2021). Tourism Resource Evaluation and Countermeasures Based on Network Communication and TOPSIS Algorithm. Hindawi, Wireless Communications and Mobile Computing, 1-13.
  18. Yang, J., Xu, H., & Wang, X. (2022). Impact of tourism activities on the distribution and pollution of soil heavy metals in natural scenic spots on the northern slope of Tianshan Mountain. PLoS ONE 17 (7), e0267829.
  19. Ainali, J., Rumiani, A., & Esmaili, A. (2017). Identifying and prioritizing tourist attractions in line with regional development using TOPSIS and VIKOR models, case study: Kurdistan province. Rural Development Strategies, 4 (2), 195-212. [ In Persian]
  20. Akhoondi, L., Danehkar, A., Arjmandi, R., & Shabanali Fami, H. (2014). Site Selection Appropriate Zones for Sport Tourism in Mountain Areas A Case Study: Karaj-Chalous Road. Journal of Natural Environment, 3 (3), 331-344. [ In Persian]
  21. Babazadeh Khamene, S., Danekar, A., & Taheri Sarteshnizi, F. (2014). Evaluation of tourism activities based on sustainable development (case study: Sisangan Forest Park). 21st National Geomatics Conference. Country Mapping Organization, Tehran, 1-10. [ In Persian]
  22. Danekar, A., Mahmoudi, B. A., Sabaei, S., Asdalahi, Z., Niko Bazl, A., Ruhipour, M., Qadirian, T., Sharifipour, N., & Petrosian, H. (2019). Volume three: National Document of Sustainable Forest Management Program Mangroves of Iran: Report on the mangrove forests of Hormozgan province. Iran's Forests, Ranges and Watershed Organization, Nature and Resources Sustainability Consultant Engineers, 241 p. [ In Persian]
  23. Danekar, A., Mahmoudi, B. A., Sabaei, S., Qadirian, T., Asdalahi, Z., Sharifi, N., & Petrosian, H. (2012). The national document of the sustainable management program of mangrove forests of Iran, the organization of forests, pastures and watersheds of the country, the general department of forests outside the north, Consulting engineers for the sustainability of nature and resources, 196 p. [ In Persian]
  24. Golchin, F., Naroyi, B., & Irani Behbahani, H. (2013). Investigation of user preferences based on visual quality assessment (case study: Mellat Zahedan Urban Forest Park). Environment, 39 (4), 193-203. [ In Persian]
  25. Heshmati, Gholam, A., Salman Mahini, A. R., & Naseri, H. (2011). Evaluating the capability of some leisure activities using multi-criteria evaluation method. The second environmental planning and management conference, 1-12. [ In Persian]
  26. Jahani, A., Makhdoom, M., Faqihi, J., & Etemad, V. (2011). Determining the quality of the landscape and viewpoints for ecotourism use. Environmental Research, 2 (3), 20-13. [ In Persian]
  27. Lotfikhah, S., Frouzd, M., & Danekar, A. (2017). "Coastal Management Plan (SMP) of Hormozgan Province". Review plan of integrated management studies of coastal areas of Hormozgan province. Iran's structural consulting engineers. (General Directorate of Coastal and Port Engineering, Vice-Chancellor of Engineering and Development of Infrastructure Affairs, Ports and Maritime Organization of the Islamic Republic of Iran). [ In Persian]
  28. Masnavi, M. R., Tasa, H., Kafi, M., & Dinarundi, M. (2012). Visual assessment of the landscape of the Qeshlaq Valley for the development of tourism. Journal of Environment, 39 (65), 133-144. [ In Persian]
  29. Mirkarimi, S. H., Saidi, S., Mohammadzadeh, M., & Salman Mahini, A. R., (2014). Application of PCA method in evaluating the visual quality of landscape (case study: Ziarat area of Golestan province). Environment, 40 (2), 462-451. [ In Persian]
  30. Mirzaei Khangah, A. (2021). Proportion measurement of territorial waters of Hormozgan province for zoning marine tourism activities. Master's thesis in the field of natural resources-environmental engineering. Faculty of Agriculture and Natural Resources, Faculty of Natural Resource. Tehran University of Natural Resources. [ In Persian]
  31. Parvesh, H., & Birami Bastam, L. (2020). Presentation and prioritization of sustainable tourism solutions in GNU-protected area. Geographical Journal of Tourism Space 9 (36), 38-52. [‎In Persian‎]
  32. Shamshiri, S. (2015). Evaluation of the visual quality of the mirage of Goznehle Sanghar. Man and Environment, 13 (4), 27-41. [ In Persian]
  33. Sharifi, N. (2021). Developing a comprehensive model for zoning protected areas based on multi-criteria decision-making methods (case study: Mangrove Protected Area). Doctoral dissertation in the field of environmental sciences. Faculty of Natural Resources and Environment - Islamic Azad University, Science and Research Unit. [ In Persian]
  34. Sharifian, S. (2018). Selection of coastal tourism activities in Mazandaran province using multi-objective user allocation method (MOLA). Master's degree thesis. Faculty of Agriculture and Natural Resources, Faculty of Natural Resources, Tehran University of Natural Resources. [ In Persian]
  35. Sobhani, P., & Danehkar, A. (2022). Determining the suitable climate for tourism in Iran's mangrove forests using the Tourism Comfort Climate Index (TCI) and the Vacation Climate Index (HCI). Journal of Natural Environment, 75, 29-45. [ In Persian]