Traditional Serbian Countryside and Second-Home Tourism Perspectives

Terzić, Aleksandra; Drobnjaković, Marija; Petrevska, Biljana

doi:10.2478/euco-2020-0018

Cited by 11 publications

(5 citation statements)

References 39 publications

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“…Our model detected the following keywords for the parameter: tourism, tourist, hotel, travel, guest, holiday, tourist destination, family, sustainable, airbnb, research, cruise, accommodation, social, second home, local, house, tourism industry, heritage, business. Examples of topics captured by this parameter: kinship tourism and the opportunities it can provide for forming a family [250], the home-sharing mobile platforms such as the Airbnb app which connects tourists and local hosts [251], tourism commercial homes and their important immaterial dimensions in the point of view of Lifestyle entrepreneurs [252], how rural tourism opens up new economic opportunities for local municipalities and counties [253], and personal life, family life, home and adequate housing rights preserved by international human rights law [254].…”

Section: Tourismmentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

et al. 2022

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Homes are the building block of cities and societies and therefore smart homes are critical to establishing smart living and are expected to play a key role in enabling smart, sustainable cities and societies. The current literature on smart homes has mainly focused on developing smart functions for homes such as security and ambiance management. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, and the roles of smart homes that will serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public, using over a hundred thousand research papers and nearly a million tweets. We developed a methodology using deep learning, natural language processing (NLP), and big data analytics methods (BERT and other machine learning methods) and applied it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100 s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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Section: Tourismmentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

et al. 2022

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show abstract

“…Our model detected the following keywords for the parameter: tourism, tourist, hotel, travel, guest, holiday, tourist destination, family, sustainable, airbnb, research, cruise, accommodation, social, second home, local, house, tourism industry, heritage, business. Examples of topics captured by this parameter: kinship tourism and the opportunities it can provide for forming a family [279], the homesharing mobile platforms such as the Airbnb app which connects tourists and local hosts [280], tourism commercial homes and their important immaterial dimensions in the point of view of Lifestyle entrepreneurs [281], how rural tourism opens up new economic opportunities for local municipalities and counties [282], and personal life, family life, home and adequate housing rights preserved by international human rights law [283].…”

Section: Tourismmentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Alqahtani¹,

Janbi²,

Sharaf³

et al. 2022

Preprint

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Technological advancements and innovations have profoundly changed the lives of people giving rise to smart environments, cities, and societies. As homes are the building block of cities and societies, smart homes are critical to establishing smart living and are expected to play a key role in enabling smart cities and societies. The current academic literature and commercial advancements on smart homes have mainly focused on developing and providing smart functions for homes to provide security management and facilitate the residents in their various activities such as ambiance management. Homes are much more than physical structures, buildings, appliances, operational machines, and systems. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, the roles of smart homes that would serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, rather fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public using over a hundred thousand research papers and nearly a million tweets. We develop a methodology using deep learning, natural language processing (NLP), and big data analytics methods and apply it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific, policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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“…However, achieving a competitive edge in the international arena requires constant innovation on the part of all players. To this end, priority investments (so-called flagship developmentssee Kozma, 1995;Kozma, 2010;Kozma et al, 2014;De Frantz, 2018;Sochacka and Rzeszotarska-Pałka, 2021;Nod and Aubert, 2022) increase the attention of the wider public toward a given region/settlement, and tourismrelated developments in rural areas play an important role in the economic diversification of the areas concerned (Rytkönen and Tunón, 2020;Tătar et al, 2020;Terzi et al, 2020;Nooripoor et al, 2021;Gorjanc et al, 2022;Ospanova et al, 2022;Plokhikh, 2022). At the same time, tourism can also be regarded as a high-risk economic sector: natural (e.g.…”

Section: Introductionmentioning

confidence: 99%

Spatial Characteristics of Eu-Funded Tourism Investments in the Northern Great Plain Region (Hungary) in the 2014-2020 Budget Period

BADAR¹,

Kozma²,

MONYÓK³

2023

GTG

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The aim of this paper is to present the territorial characteristics of explanation of European Union funding for tourism-related developments in the Northern Great Plain region (Hungary) in the 2014-2020 programming period of the European Union. We relied fundamentally on the website “palyazat.gov.hu” as our source, which provides information on the number of grant applications submitted and those that were successful. There are very significant differences between counties and settlements in terms of the application activity and the focus of the applications. Firstly, the specificities of the counties that make up the Northern Great Plain region had a significant impact on the region’s performance in case of national-level projects. Secondly, hand the influencing factors include the commitment of the leaders of the individual counties and settlements to tourism, the impact of the conditions set out in the calls for applications, as well as the role of political lobbying.

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Traditional Serbian Countryside and Second-Home Tourism Perspectives

Cited by 11 publications

References 39 publications

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Spatial Characteristics of Eu-Funded Tourism Investments in the Northern Great Plain Region (Hungary) in the 2014-2020 Budget Period

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