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Authors: S.P. Bansal Mtahpu, Rohit Thakur, Suman Sharma

Abstract: Residents opinions are important for planning and sustainable cultural heritage tourism development at a destination. In the present study, data was collected through a structured questionnaire to know the opinions of local residents towards the socio-cultural and economic impacts of Cultural heritage tourism in Kullu valley. The results of the study highlight that local residents perceive cultural heritage tourism brings socio-cultural & economic benefits and support tourism development. Residents are also aware about the darker side of tourism development on the local community, culture and economy. Strong partnerships between local residents and tourism authorities are required for sustainable cultural heritage tourism development.

Keywords: Cultural Heritage Tourism, Kullu valley, Residents opinions, Sustainable planning, Tourism impacts.

DOI: 10.5937/turizam28-48681

Article info: 139-153

Received: January 2024 | Accepted: October 2024

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Authors: Olakunle Shakur Olawuyi

Abstract: There is a plethora of both organized and haphazard data in tourism destinations. Analyzing this data appropriately is crucial for optimal engagement. This study focuses on the connection between big data analytics and big data’s characteristics in Agodi Gardens, Ibadan, Nigeria. Specific objectives were to examine the characteristics of big data; as well as to examine Descriptive and predictive data analytics. Respondents were chosen purposively. Survey instrument (questionnaire) was used to elicit data. Data was collected using structured questionnaire. The collected data were analyzed descriptively and inferentially. The study revealed that significant relationship exists between the prescriptive/descriptive big data analytics and the characteristics of big data. Precisely, there is a significant relationship between prescriptive data analytics and velocity, veracity, volume as well as value. Similarly, there is a significant relationship between descriptive data analytics and volume, variety, value as well as veracity. Likewise, variety and veracity of big data could influence big data analytics. The study therefore recommends that the management of Agodi Gardens should engage thorough big data analytics, so that data elicited by customers can be appropriately analysed and topical inference could be drawn from the analysis.

Keywords: Big Data Analytics, Big Data Characteristics, Prescriptive Analytics, Agodi Gardens

DOI: 10.5937/turizam28-47088

Article info: 154-176

Received: October 2023 | Accepted: October 2024

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Authors: Sachin Soonthod, Sumit Kumar Singh

Abstract: While tourists play a vital role in the sustainable development of a destination, the local community largely remains the beneficiary as well as the victim of the consequences of impacts caused by tourism activities. Hence, the growth of the destination must happen sustainably. Mysore, the heritage city of Karnataka was recently recognized as one of the cleanest cities in India. However, tourism activities adversely affect the sustainable practices of the city. The study investigates the responsible behavioural approach and challenges to develop Mysore as a sustainable tourist destination. To find this a survey was conducted on tourists and the local community. The study found that insufficient supportive services and lack of responsible behavioural practices among tourists are the challenges to the sustainable development of tourist attractions in various attractions of Mysore.

Keywords: Responsible Behaviour, Sustainable Practices, Sustainable Tourism, Karnataka Tourism, Mysore Tourism.

DOI: 10.5937/turizam28-49809

Article info: 177-188

Received: March 2024 | Accepted: November 2024

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Authors: Tommy Meiky Kontu, Dannie Rieshard Stephen Oroh, Oktavianus Lintong

Abstract: This study evaluates the suitability of Pal Beach in North Sulawesi, Indonesia, as a recreational beach tourism destination. Ten key parameters influencing beach tourism are assessed, including water depth, beach type and width, seabed material, vegetation, water clarity, currents, harmful marine life and freshwater availability. Data were collected through field measurements and observations. Data were analyzed to determine the Tourism Suitability Index for Beach Recreation, applying the Suitability Index. Results classify Pal Beach as ‘Very Suitable’ with a score of 2.82. The beach boasts features like shallow coastal waters, sandy white shores, ample width, good water visibility, coconut trees and gentle slopes catering to visitors. However, strong currents exceeding ideal speeds, the presence of stonefish and sea snakes, and limited onsite freshwater pose notable challenges needing mitigation for its sustainability. By analyzing tourism viability while identifying environmental constraints, this assessment contributes insights to guide the integrated management of emerging recreational destinations in Indonesia based on globally accepted principles of responsible, sustainable development.

Keywords: Coastal tourism, Suitability analysis, Recreational activities, Pal beach

DOI: 10.5937/turizam28-49650

Article info: 189-205

Received: March 2024 | Accepted: October 2024