The Impact of Visitor Profile on Effective Management of Protected Areas: A Case of Atatürk Arboretum

Ahmed Nuru Zeleke and Tuğba Deniz ()
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Ahmed Nuru Zeleke: Ethiopian Forestry Development, Hawassa Center, Hawassa P.O. Box 1832, Ethiopia
Tuğba Deniz: Department of Forest Economics, Faculty of Forestry, Istanbul University-Cerrahpaşa, Bahçeköy, Istanbul 34473, Turkey

Sustainability, 2023, vol. 15, issue 6, 1-11

Abstract: Protected areas are important for education and scientific research, in addition to making a significant contribution to the economy in terms of tourism and recreation. One of the most important factors in the effective management of these areas are the visitors. In this article, the effect of visitors on the effective planning and management of arboretums, which is one of the protected areas used for scientific research, education, and observation concerning various species of plants, was investigated. This study focused on the visitors to Atatürk Arboretum, segmented into specific subgroups by applying cluster analysis according to their activities. The data were obtained via conducting face-to-face questionnaires with the visitors ( n = 383) in the area. The cluster groups were characterized by the perceived importance of their desired benefit, and socio-demographic and behavioral characteristics. The socio-demographic characteristics of the visitors were determined using descriptive statistics, and the relations among visitor characteristics were determined through linear regression analysis. The visitor segments which differed from each other significantly were identified as recreationalists and photographers and learners . This study has practical and managerial implications for understanding the role of visitors in the management of the arboretum. The study revealed that the arboretum was visited for reasons outside of its establishment purposes. These findings might directly help the arboretum managers in improving more effective visitor and resource management strategies.

Keywords: protected area; visitor profile; cluster analysis; segmentation; effective management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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