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Yayın Konukevi işletmeciliği: Ayvalık bölgesi için bir araştırma(PressAcademia, 2019-07-30) Işık, Munise; Teker, SuatAmaç- Bu makalede; son yıllarda deniz, kum, güneş turizmi dışında özellikle tarihi ve doğal güzellikleriyle de dikkat çeken Kuzey Ege Bölgesi’nin, önemli turizm merkezlerinden biri olan Ayvalık ve çevresinin turizm potansiyelini bilimsel veriler ışığı altında konukevi işletmeciliğinin ne düzeyde olduğunun tespit edilmesi amaçlanmıştır. Bunun için bölgenin karakteristik özelliklerini yansıtan Ayvalık ve çevresinde bulunan tarihi, kültürel, doğal güzelliklerinin yanı sıra bölge de geleneksel mimari tarzındaki Ayvalık-Cunda evlerinde yapılan konukevi işletmeciliği ele alınmıştır. Bu bağlamda amaç, konukevi işletmeciliğinde sunulan hizmetlerden hangilerinin müşteri tercihini ve memnuniyetini etkilediğinin araştırılmasıdır. Yöntem- Bu çalışma yapılırken günümüzde önemli bir bilgi kaynağı olan Türkiye'nin tatil ve konaklama rehberi operatörlerinin web siteleri sayfalarından toplam 636 müşteri incelenmiştir. Bunlardan mimari tarzları, fiyat, temizlik, kahvaltı, lokasyon, karşılama ve ilgilenme, ev atmosferi başlıkları altındaki, konuk görüşleri her pansiyon (konukevi) için ayrı ayrı karşılaştırılmış konuk yorumlarında en çok öne çıkan konular başlık olarak seçilmiştir. Bulgular- Çalışma kapsamında Ayvalık merkez ve Cunda Adasındaki eski Rum mimari yapısı özelliğini taşıyan geleneksel Ayvalık evlerinde yapılan konukevi işletmeciliğinde sunulan hizmetlerden hangilerinin müşteri tercihini ve memnuniyetini etkilediği araştırılmıştır. Ayvalık Merkez ve Cunda Adasındaki konukevlerinde yapılan her iki çalışmada elde edilen toplam veriler doğrultusunda; Ayvalık merkezindeki konukların tercihlerinde öncelikli olarak temizlik ve kahvaltı, Cunda adasında konaklayanların ise karşılama ve lokasyon beğenilerinin öne çıktığı görülmüştür. Sonuç- Ayvalık’ta mevcut geleneksel mimari tarzındaki konukevi işletmelerine olan talep alternatif turizmde değer yaratmada önemli bir işleve ve potansiyele sahiptir. Bu doğrultuda Geleneksel Ayvalık evlerinin sonraki kuşaklara miras bırakılabilmesi için terk edilen "sit" lerin yeniden inşa edilmesi, eski binaların kullanılabilir hale getirilmesi ve aynı zamanda Ayvalık’ın tarihi ve kültürel değerleri ve mekansal farklılıklarının öne çıkarılarak kendine özgü kentsel bir turizm politikası önerilmektedir.Yayın Hotel sales forecasting with LSTM and N-BEATS(IEEE, 2023-09-15) Özçelik, Şuayb Talha; Tek, Faik Boray; Şekerci, ErdalTime series forecasting aims to model the change in data points over time. It is applicable in many areas, such as energy consumption, solid waste generation, economic indicators (inflation, currency), global warming (heat, water level), and hotel sales forecasting. This paper focuses on hotel sales forecasting with machine learning and deep learning solutions. A simple forecast solution is to repeat the last observation (Naive method) or the average of the past observations (Average method). More sophisticated solutions have been developed over the years, such as machine learning methods that have linear (Linear Regression, ARIMA) and nonlinear (Polynomial Regression and Support Vector Regression) methods. Different kinds of neural networks are developed and used in time series forecasting problems, and two of the successful ones are Recurrent Neural Networks and N-BEATS. This paper presents a forecasting analysis of hotel sales from Türkiye and Cyprus. We showed that N-BEATS is a solid choice against LSTM, especially in long sequences. Moreover, N-BEATS has slightly better inference time results in long sequences, but LSTM is faster in short sequences.Yayın Technical climate change adaptation options of the major ski resorts in Bulgaria(Springer International Publishing, 2016-01-01) Demiroğlu, Osman Cenk; Turp, Mustafa Tufan; Öztürk, Tuğba; An, Nazan; Kurnaz, Mehmet LeventClimate change has been and increasingly will be a major threat to the ski tourism industry, whose survival is highly dependent on the existence of snow cover of sufficient depth and duration. For this matter, it is even now more usual for the ski resorts to adapt to this issue by various measures at the technical, operational, and political levels. Technically speaking, snowmaking has become the method most used throughout the industry to combat the immediate impacts of climate change, while moving the ski areas to higher terrains has been standing out as an another option, wherever available and feasible. In this study, the aim is to project the future climatic changes in snowmaking capacity; in other words, technical snow reliability, and the moving requirements, if any, of the four major ski resorts in Bulgaria for the period of 2016-2030 with respect to the control period of 1991- 2005. For this purpose, the past and the future climatic conditions for the technical snow reliability of the ski resorts and their immediate surroundings are determined by the temperature and the relative humidity values generated and projected through the Regional Climate Model RegCM 4.4 of the Abdus Salam International Centre for Theoretical Physics (ICTP) by scaling the global climate model MPI-ESM-MR of Max Planck Institute for Meteorology down to a resolution of 10 km. The model is further processed according to the recent RCP 4.5 and RCP 8.5 concentration scenarios of the IPCC. The model outputs on air temperature and relative humidity are utilized for determination of wet-bulb temperatures through psychographic conversions that ultimately provide us with thresholds for snowmaking limits. Findings display the temporal changes in the snowmaking hours of the ski resorts at various altitudinal levels calculated according to the environmental lapse rates. Such displays can guide the practitioners in considering investment lives and moving the ski resorts according to optimistic and pessimistic projections.Yayın İstanbul-Şile ilçesi liman çevresinin turizm potansiyelinin belirlenmesi(Işık Üniversitesi, 2022-11-18) Semiz, Hami Onur; Uzun, Adnan; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Peyzaj Mimarlığı Yüksek Lisans ProgramıBu çalışmada Şile ilçesinin sahip olduğu turizm potansiyeli ve ne şekilde değerlendirilmesi gerektiğini belirlemek amaçlanmıştır. Şile ilçesine ziyarete gelen turistlerin görmek istediklerini ve Şile ilçesinin eksiklerini anket yöntemiyle tespit edilmiştir. Şile ilçesi turizm için oldukça verimli ve uygun bir bölgedir. Yapılan çalışma bu potansiyelin en verimli şekilde kullanılmasını amaçlamaktadır. Yıl içinde gelen turistlerin Şile ilçesinde görmek istedikleri ve bu alanlarda yapılan çalışmaları tespit etmek için Şile ilçesini kapsayan bir anket çalışması uygulanmıştır. Şile bezi, Kültür ve Sanat Festivali, balıkçılık, hayvancılık gibi gelir kaynakları da araştırılmıştır. Şile ilçesi için önem taşıyan yapıların halk tarafından nasıl kullanılması gerektiğini anket yöntemiyle tespit etmek hedeflenmiştir.Yayın Application of ChatGPT in the tourism domain: potential structures and challenges(IEEE, 2023-12-23) Kılıçlıoğlu, Orkun Mehmet; Özçelik, Şuayb Talha; Yöndem, Meltem TurhanThe tourism industry stands out as a sector where effective customer communication significantly influences sales and customer satisfaction. The recent shift from traditional natural language processing methodologies to state-of-The-Art deep learning and transformer-based models has revolutionized the development of Conversational AI tools. These tools can provide comprehensive information about a company's product portfolio, enhancing customer engagement and decision-making. One potential Conversational AI application can be developed with ChatGPT. In this study, we explore the potential of using ChatGPT, a cutting-edge Conversational AI, in the context of Setur's products and services, focusing on two distinct scenarios: intention recognition and response generation. We incorporate Setur-specific data, including hotel information and annual catalogs. Our research aims to present potential structures and strategies for utilizing Language Model-based systems, particularly ChatGPT, in the tourism domain. We investigate the advantages and disadvantages of three different architectures and evaluate whether a restrictive or more independent model would be suitable for our application. Despite the impressive performance of Large Language Models (LLMs) in generating human-like dialogues, their end-To-end application faces limitations, such as system prompt constraints, fine-Tuning challenges, and model unavailability. Moreover, semantic search fails to deliver satisfactory performance when searching filters that require clear answers. To address these issues, we propose a hybrid approach that employs external interventions, the assignment of different GPT agents according to intent analysis, and traditional methods at specific junctures, which will facilitate the integration of domain knowledge into these systems.Yayın Leveraging transformer-based language models for enhanced service insight in tourism(IEEE, 2023-12-22) Er, Aleyna; Özçelik, Şuayb Talha; Yöndem, Meltem TurhanCustomer feedback is a valuable resource for enhancing customer experience and identifying areas that require improvement. Utilizing user insights allows a tourism company to identify and address problematic points in its service delivery, provide feedback to partner companies regarding their product offerings, and even reconsider agreements by incorporating these opinions when curating their product portfolio. Setur implemented a systematic approach to collecting customer feedback by distributing "after-stay surveys'' to its customers via email following the completion of the agency services provided. Guest answers to open-ended questions that gather opinions about travel experience are analyzed by four tasks: user intention for answering, the sentiment of the review, subjects touched upon, and whom it concerned. For these tasks, transformer-based natural language processing (NLP) models BERT, DistilBERT, RoBERTa, and Electra are fine-Tuned to classify customer reviews. Based on the test results, it is observed that best practices could be gathered using Bert. In addition, we showed that different insights can be obtained from text comments made for two hotels in Aydin, Turkiye. Some users made complaints using neutral sentences. In some cases, people gave high scores to the numerical rating questions, but their open-ended questions could have a negative meaning.Yayın Forecasting and analysis of energy consumption and waste generation in Antalya with SVR(IEEE, 2023-12-24) Özçelik, Şuayb Talha; Tek, Faik Boray; Şekerci, ErdalAntalya, a rapidly expanding coastal city in Türkiye, has experienced significant changes due to urbanization and increasing tourism activities. Comprehending tourism trends is crucial for the city's sustainable development and environmental management. Based on this perspective, this paper aims to present a comprehensive retrospective analysis of Antalya's energy consumption, domestic solid waste generation, wastewater generation, population growth, and tourist numbers over the years. Antalya faces significant challenges due to escalating trends in listed areas. Utilizing the Support Vector Regression, this study projects a need for an additional 1715 GWh of electricity production capacity, an expansion of wastewater capacity by 85639 thousand m3, and an increase in domestic solid waste disposal capacity by 597745 tons by 2028 to accommodate growing demands. We emphasize the importance of adopting effective policies and strategies to support energy efficiency, waste reduction, and wastewater management alongside sustainable urban planning and tourism management for Antalya's long-Term environmental sustainability and development. The findings presented in this study provide valuable insights for policymakers, urban planners, and stakeholders to make informed decisions, ensuring a balanced approach toward economic growth and environmental conservation.Yayın Transforming tourism experience: AI-based smart travel platform(Association for Computing Machinery, 2023) Yöndem, Meltem Turhan; Özçelik, Şuayb Talha; Caetano, Inés; Figueiredo, José; Alves, Patrícia; Marreiros, Goreti; Bahtiyar, Hüseyin; Yüksel, Eda; Perales, FernandoIn this paper, we propose the development of a novel personalized tourism platform incorporating artificial intelligence (AI) and augmented reality (AR) technologies to enhance the smart tourism experience. The platform utilizes various data sources, including travel history, user activity, and personality assessments, combined with machine learning algorithms to generate tailored travel recommendations for individual users. We implemented fundamental requirements for the platform: secure user identification using blockchain technology and provision of personalized services based on user interests and preferences. By addressing these requirements, the platform aims to increase tourist satisfaction and improve the efficiency of the tourism industry. In collaboration with various universities and companies, this multinational project aims to create a versatile platform that can seamlessly integrate new smart tourism units, providing an engaging, educational, and enjoyable experience for users.Yayın Scope and patterns of marketing agility in tourism enterprises during COVID-19 pandemic restrictions(Emerald Publishing Limited, 2022-08-09) Türkmen, Hediye Gamze; Akman, YaseminMarketing agility has gained more attention from scholars and managers due to the current and emerging conditions of the COVID-19 pandemic. The pandemic has changed the marketing landscape, resulting in a dramatic shift in consumer behavior in the worldwide lockdowns. Consumers sought an efficient response and reaction in real-time to their changing needs, concerns, and priorities. The shift in consumer behavior and demand forced service enterprises to develop dynamic marketing plans to adjust to the new normal that created unprecedented disruptions in their traditional business. As one of the most dynamic sectors of service marketing, tourism was challenged by the pandemic-related restrictions and contemporary competitive circumstances and faced the destructive, yet transformative impacts of the outbreak. The tourism enterprises all over world were compelled to implement innovations to adjust to the new customer preferences and needs for a sustainable change to develop dynamic marketing solutions. This chapter aims to review and analyze how the tourism enterprises gravitated to a new approach and implemented an agile marketing strategy focusing on the emerging customer priorities, based on analysis of the hotel websites. A functioning group of 4 and 5-star hotels located in Bodrum, Turkey, was selected and their website updates from the beginning of the COVID-19 pandemic to the proliferation of the vaccines were examined considering the official data on inbound, domestic and outbound tourism. The findings provided an insight into the concept of agile in tourism marketing applied to a function characterized by the radically changing conditions that bring in new threats and opportunities.
