Smart Tourism City Research Articles

The Integrated Development of Tourism and Cultural and Creative Industries Based on Smart City Cloud Service Information System

In response to the integration of tourism and media, this paper proposes research on the integration of tourism and its practice, leadership, and creative business based on smart city weather information. Based on this research, a systematic investigation and evaluation of smart city tourism competition models are conducted to accurately measure and influence the growth and competitiveness of smart cities, build smart tourism cities, and bring health benefits. Build China’s smart tourism city and enhance the international competitiveness of China’s tourism industry. Second, develop a measurement process. As for the evaluation criteria of tourism competitiveness of smart tourism cities, this paper mainly adopts the methods of single index evaluation and expert experience scoring. Select single indicators, especially quantitative indicators, and evaluate about relevant national, local, and industrial standard values. For qualitative indicators, based on the determination of relevant weights, five grades I, II, III, IV, and V are adopted, with a total score of 100, and the corresponding scores of the five grades are ≤50, 50–59, 60–69, 70–89, and ≥90, so as to determine the evaluation standard of smart Tourism city. The research shows that the research on the integration of tourism industry and cultural and creative industry based on smart city weather data is effective.

Diffusion Characteristics and Driving Factors of the Smart Tourism City Policy—Event History Analysis

It is of great significance to explore the spatial-temporal characteristics and analyze the driving factors of the diffusion of smart tourism city policy, which promotes the adoption of smart tourism city policy and the sustainable development of tourism. We aimed to explore the diffusion law and influencing factors of smart tourism city so as to provide reference for the construction of smart tourism city. By employing the 249 cases in China from 2012 to 2019, we revealed the spatial-temporal characteristics and driving factors influencing the diffusion of smart tourism city policy by employing the event history analysis method. The results reveal that the diffusion of smart tourism city policy presents the typical S-shaped curve in cumulative adoptions over time. Furthermore, the diffusion of smart tourism city policy presents the spatial distribution characteristic of the Hu Line, which spreads from the eastern coastal areas to the central inland areas. Moreover, there are multiple driving sources for the diffusion of smart tourism city policy, among which economic lift force, intellectual support force, technological pull force and demand impetus force are the important driving sources for the policy diffusion.

Autonomous Energy Management by Applying Deep Q-Learning to Enhance Sustainability in Smart Tourism Cities

Autonomous energy management is becoming a significant mechanism for attaining sustainability in energy management. This resulted in this research paper, which aimed to apply deep reinforcement learning algorithms for an autonomous energy management system of a microgrid. This paper proposed a novel microgrid model that consisted of a combustion set of a household load, renewable energy, an energy storage system, and a generator, which were connected to the main grid. The proposed autonomous energy management system was designed to cooperate with the various flexible sources and loads by defining the priority resources, loads, and electricity prices. The system was implemented by using deep reinforcement learning algorithms that worked effectively in order to control the power storage, solar panels, generator, and main grid. The system model could achieve the optimal performance with near-optimal policies. As a result, this method could save 13.19% in the cost compared to conducting manual control of energy management. In this study, there was a focus on applying Q-learning for the microgrid in the tourism industry in remote areas which can produce and store energy. Therefore, we proposed an autonomous energy management system for effective energy management. In future work, the system could be improved by applying deep learning to use energy price data to predict the future energy price, when the system could produce more energy than the demand and store it for selling at the most appropriate price; this would make the autonomous energy management system smarter and provide better benefits for the tourism industry. This proposed autonomous energy management could be applied to other industries, for example businesses or factories which need effective energy management to maintain microgrid stability and also save energy.

Research on the Communication Strategy of History and Culture in Shaanxi Based on BP Neural Network Model.

Shaanxi is one of China's most important cradles of civilization. The main vein of Chinese culture is rich history and culture, and brilliant red culture embodies the essence of socialist core values. It is still relatively weak to deeply analyze the related research of Shaanxi Province's cultural province construction on the basis of studying the achievements of cultural development in foreign countries and China and combining with the reality of Shaanxi Province. In this paper, a BPNN (BP neural network) model is selected to study the comprehensive evaluation of tourism competitiveness of smart tourism cities, and the software is used to realize the simulation of the comprehensive evaluation system of tourism competitiveness of smart tourism cities, which more comprehensively and objectively reflects the level of comprehensive competitiveness of each city. It is believed that there are some problems in Shaanxi regional cultural communication, such as insufficient exploration of content resources, insufficient communication channels, and low audience awareness, hoping to provide ideas and reference for further exploring the promotion of cultural communication power.

Empirical Suggestions on Constructing Smart Tourism City Based on City Tourism Image - Taking Shenzhen as an Example

Smart tourism city is the combination and application of the concepts of "smart tourism" and "smart city" in the tourism industry and tourist activities, and is the upgrading of tourism information under the wave of new technology. With the advent of the era of big data, collecting online travel notes to build a text database can obtain the comprehensive perception of tourism destination image. Urban tourism image perception records the tourism resources and impressions of Shenzhen, reflects the concerns and demands of tourists on tourism, and provides necessary information basis and decision-making reference for the construction of a smart tourism city based on tourism behavior. This paper takes tourist travel notes collected by Ctrip and Mafengwo as research samples, the text analysis method is used to extract the high-frequency characteristic words of Shenzhen's image perception, and obtains the main tourism resources and tourist behavior characteristics of Shenzhen .The research results show that we should start from the construction of smart scenic spots, smart tourism facilities, smart platform, smart city group linkage and other measures, so as to successfully develop smart tourism in Shenzhen and achieve the goal of building Shenzhen as a smart city.

Can a negative destination image be improved through hosting a mega sports event?: the case of smart tourism city Pyeong Chang

ABSTRACT Mega sports events have received increasing attention as a source of revenue and because they confer other economic benefits to the host cities, regions, and countries involved. The 2018 Winter Olympics in Pyeong Chang has drawn tremendous attention from the world for their remarkable outcome both on the side of athletics and politicians under the tension between North, and South Korea have escalated. This study examines the impact of Pyeong Chang Olympics on destination image to investigate how the negative issues shift to a positive destination image through hosting a mega sports event satisfaction and eventually its impact on intention to revisit. The results suggest that negative destination issues have no significant impact on destination satisfaction, whereas negative Olympic issues influence does and both Olympic and destination satisfactions influence destination image. This study introduces the concept of image transfer over the satisfaction process based on empirical evidence and enriches the understanding of the nature of destination image transfer.

강원 스마트관광도시 구축을 위한 정책제언: 국내·외 스마트도시 정책 사례를 중심으로

This study analyzes smart tourism cities and smart cities domestic and overseas and examines the characteristics and implications of policies needed to build smart tourism cities from the perspective of regional tourism development. Ultimately, this study aims to understand the concept of a smart tourism city and analyze cases to form a platform system necessary to build a Gangwon province-type smart tourism city and propose a policy proposal for a competitive smart tourism city. As a policy proposal for smart tourism cities in Gangwon province through this research process, first, it is necessary to enact ordinances related to smart tourism cities in Gangwon province. Second, Gangwon smart tourism city governance should be established. Third, an integrated platform for smart tourism cities shall be established by utilizing tourism ICT. Fourth, a smart tourism city evaluation framework should be developed. Fifth, social consultation on utilizing tourism data of the population staying in Gangwon province shall be achieved. Based on this research, smart tourism city development in Gangwon province should establish a sustainable policy base through continuous R&D investment and testbed demonstration projects.

The Intra- and Inter-Regional Economic Effects of Smart Tourism City Seoul: Analysis Using an Input-Output Model

A competitive smart tourism city can be a solution for building resilience to address current and future crises and even be a booster of the economic effects of tourism, since it has an economic ripple effect both inside and outside of the city. This study tried to estimate the intra- and inter-regional economic effects of the smart tourism city Seoul, which has high competitiveness as a smart tourism city. First, this study tried to objectively clarify the scope of smart tourism based on a Delphi survey and then adopted the inter-regional input–output model. The results showed that smart tourism city Seoul is expected to create high income, high value-added, and job creation effects inside the city, and will greatly contribute to securing tax revenue. Outside of the city, smart tourism city Seoul is expected to induce high production effects. Based on these results, this study highlights the economic effects of a smart tourism city, which describes the convergence of technology and tourism.

가상가치평가법을 활용한 스마트관광도시 모빌리티 가치연구 : 거주민과 관광객의 비교를 중심으로

전 세계적으로 공유경제는 다양한 시장에서 선풍적인 인기를 끌고 있다. 그 중 전기 공유자전거는 인구 과밀 지역의 교통 문제의 해결책이며, 부산과 같이 오르막길이 많은 도시에서 유용한 스마트 모빌리티로 간주된다. 이에 부산에도 스테이션이 없는 4세대 전기 공유자전거를 도입해야한다는 주장이 제기되고 있다. 본 연구는 전기 공유자전거 서비스 제공을 위한 첫 걸음으로 가상가치평가법(Contingent Valuation Method, CVM)을 적용하여 전기 공유자전거에 대해 거주민과 관광객이 인지하는 경제적 가치를 추정하고자 하였다. 연구 결과, 거주민과 관광객 모두 일반 공유자전거를 이용했을 때보다 추가적으로 지불해야하는 금액이 낮게 제시될수록, 관광지 접근성에 대해 긍정적인 인식을 가질수록 지불의도가 증가하는 것으로 나타났다. 그러나, 거주민의 경우 이동을 위해, 관광객의 경우 편리를 위해 추가금액을 지불하고도 전기 공유 자전거를 이용할 의사를 보이는 것으로 나타났다.

Smart tourism cities: a duality of place where technology supports the convergence of touristic and residential experiences

ABSTRACT Smart tourism emerges from the application of advanced technologies in the context of destinations, most often cities. It borrows extensively from smart city development ideas but its conceptualization as well as realization have been kept separate from broader smart city initiatives. This paper argues that such a separation makes little sense in a world where the everyday and the touristic increasingly overlap and smart technologies blur the lines between residential areas and tourism precincts. To resolve the issue, it introduces the concept of the smart tourism city and conceptualizes it in theoretical and practical terms to illustrate its value.

A proposal for a common framework for smart tourism cities with regional revitalization

<p class="a">Applying networking and connectivity to empower human resources and infrastructure towards the formation of sustainable regional service ecosystems is becoming increasingly important for well-being of people within and outside society to meet social challenges. However, the concepts of smart city (SC) for residents/citizens and smart tourism destination (STD) for visitors/tourists are not yet well coordinated. Therefore, this research provides a framework for regional innovation through “smartization”, which is common to both SC and STD. The framework is constructed from the perspective of the service ecosystem and applied by analysis of four case studies: The framework is constructed from the perspective of the service ecosystem and applied by analysis of four case studies: two representative smart city projects (“urban policy”-directed type) (Toyama and Aizu-Wakamatsu), and two advanced tourism projects (“resource integration”-directed type) in Japan and Slovenia. Based on these examples, the framework clarifies the macro aspects of human resources and infrastructure’s roles with data platform and presents a smartization model with service layers and dynamic spiral through integrating to the concept of Smart Tourism City (STC): a city that aims to improve/create QoL (quality of life) and QoE (quality of experience) for citizens and tourists. It is expected that further STC-concept-based research towards building the quantitative model will lead to concrete insights into the typology of holistic servitisation of each city or region. </p>

Relationship of Smart Cities and Smart Tourism: An Overview

Smart city and smart tourism terms have become very popular in the past and present decades. Research in the field of smart tourist city still fails to cover the developments of the smart tourist city. The aim of the study is to review the recent literature on smart cities and smart tourism and their role in achieving a sustainable tourism sector and enhancing the competitiveness of the country’s tourism sector and make it more developed and modern. In this study, the relationship between the smart city and the tourism is presented and to present the relationship or conceptual approach between the smart city and the smart tourism. In addition, the current situation and the potential for growth and development of tourism in Iraq through the establishment and application of smart cities is identified. The recent studies that were mentioned in this study indicate that there is a close relationship between the smart city and smart tourism and also indicate that the smart city has a fundamental role in the growth and development of tourist destinations and the smart tourist city are results of the convergence and interconnection between the smart city and the tourist city. Finally, recommendations for the smart tourism city applications in Iraq are provided. Doi: 10.28991/HIJ-2020-01-04-07 Full Text: PDF

Evaluation system of urban smart tourism competitiveness based on AHP-entropy weight method

<p>In order to quantitatively evaluate the competitiveness of smart tourism cities efficiently and reasonably, a smart tourism city competitiveness evaluation system composed of four primary indicators such as infrastructure, economic basis, scientific and technological basis and environmental basis and 15 secondary indicators such as the number of mobile phone users at the end of the year and the number of urban Internet users is constructed, which is comprehensively weighted by hierarchical analysis method and entropy weight method. The empirical case of competitiveness evaluation of 13 cities in Jiangsu Province shows that the evaluation system can quantitatively evaluate the competitiveness of urban smart tourism comprehensively and objectively. The main factors affecting the competitiveness of urban smart tourism are urban infrastructure construction and economic foundation. Increasing investment in 5G, artificial intelligence and other information technology and enhancing urban economic strength are the key strategies to improve the competitiveness of urban tourism.</p>

실현율을 이용한 시나리오 기반 스마트관광도시 관광객 수요예측

Recently, a growing number of local governments are seeking to invigorate the local economy through smart tourism, a high value-added industry. Thus, while many researchers discuss the economic value of smart tourism, there are few studies that present specific data. Therefore, the purpose of this study is to provide empirical basis for the economic value of smart tourism by predicting changes in the number of tourists through smart tourism. Furthermore, it aims to present specific and objective data to local governments that seek to revitalize the local economy through smart tourism. To achieve this research objective, this study utilized demand forecasting techniques that take into account visit intention and feasibility rates, and collected data through online surveys. Specifically, the study sampled the residents of metroplitan area through quota sampling and examined their respective willingness to visit Jeonju, Gyeongju, and Gangneung when they were traditional tourist cities and smart tourist cities. The analysis shows that the average number of tourists in smart tourist cities is expected to increase twice as much. In addition, as a result of analyzing the differences in the willingness to visit between existing cities and smart tourism cities, women showed higher willingness to visit than men, and 60s showed the highest willingness to visit. These analysis results were not only empirical grounds for the economic value of smart tourism, which had been discussed only conceptually, but the study also presented basic data to local governments seeking to vitalize the local economy through smart tourism.

A Study on the Smart Tourism Awareness through Bigdata Analysis

Purpose: In the 4th industrial revolution, services that incorporate various smart technologies in the tourism sector have begun to gain popularity. Accordingly, academic discussions on smart tourism have also started to become active in various fields. Despite recent research, the definition of smart tourism is still ambiguous, and it is not easy to differentiate its scope or characteristics from traditional tourism concepts. Thus, this study aims to analyze the perception of smart tourism exposed online to identify the current point of smart tourism in Korea and present the research direction for conceptualizing smart tourism suitable for the domestic situation. Research design, data, and methodology: This study analyzes the perception of smart tourism exposed online based on 20,198 news data from portal sites over the past six years. Data on words used with smart tourism were collected from the leading portal sites Naver, Daum, and Google. Text mining techniques were applied to identify the social awareness status of smart tourism. Network analysis was used to visualize the results between words related to smart tourism, and CONCOR analysis was conducted to derive clusters formed by words having similarity. Results: As a result of keyword analysis, the frequency of words related to the development and construction of smart tourism areas was high. The analysis of the centrality of the connection between words showed that the frequency of keywords was similar, and that the words "smartphones" and "China" had relatively high connection centrality. The results of network analysis and CONCOR indicated that words were formed into eight groups including related technologies, promotion, globalization, service introduction, innovation, regional society, activation, and utilization guide. The overall results of data analysis showed that the development of smart tourism cities was a noticeable issue. Conclusions: This study is meaningful in that it clearly reflects the differences in the perception of smart tourism between online and research trends despite various efforts to develop smart tourism in Korea. In addition, this study highlights the need to understand smart tourism concepts and enhance academic discussions. It is expected that such academic discussions will contribute to improving the competitiveness of smart tourism research in Korea.

Smart Tourism City: Developments and Transformations

Cities and tourism entities invest massive resources into smart system initiatives as information technologies are a key factor for a city’s destination competitiveness. Moreover cities around the world are increasingly recognizing the smart tourism city concept and related strategies as means of optimizing sustainable environments. Particularly for cities facing emerging issues of residents’ negative perceptions towards tourism, smart tourism city empowers a city to rise to this challenge by creating urban spaces that residents and visitors can enjoy together. However, smart tourism city research initiatives still fail to address the full spectrum of related and potential developments. This study presents a conceptual approach to defining smart tourism city: the smart city and its components are defined and contrasted with smart tourism and its components. The resulting convergence—smart tourism city—is then examined in light of a number of pioneering examples of smart tourism cities and its vital roles in the age of sustainable development. The main purpose of this study is to show the interests of locals and tourists context and the roles of ‘smart’ government leadership to researchers and practitioners.

4차 산업혁명 시대의 지속가능발전목표와 스마트 관광 도시의 역할

As the UN developed the Sustainable Development Goals(SDGs), the role of tourism in sustainable development has been focused. Many scholars have noted that the various problems of today’s tourism city(e.g. overtourism, gentrification and so on) could be solved by setting sustainable tourism goals that balance sustainable tourism strategies with equitable distribution of economic, social, cultural and environmental benefits to all stakeholders. In this situation, smart tourism city is regarded to advance sustainable tourism development and create shared value with Internet of Things(IoTs), Big data and Information Communication Technology(ICT). However, there is little attempt to clarify the roles of sustainable tourism and smart tourism city. Therefore, this study aims to discuss their roles based on the link between smart tourism cities and sustainable development goals. We expect that this study can contribute to setting the future direction of smart tourism city.

Discussion of smart tourism city construction schematization based on “five vertical-five horizontal” frameworks

Discussion of smart tourism city construction schematization based on “five vertical-five horizontal” frameworks

스마트 관광 도시 부산의 지역 내·외적 경제적 파급효과 : 지역 간 산업연관모델을 이용하여

With the advent of smart tourism based on information and communication technology(ICT), numerous cities around the world are promoting smart tourism cities. Busan has been designated as smart city pilot city from 2015, and has been building a smart city platform with the aim of enhancing the level of tourism infrastructure through cooperation between government agencies and private corporations and the introduction of Internet of things(IOT). Smart tourism city enables information sharing among various economic entities including tourists, residents and tourism companies based on ICTs, and has a positive economic impact not only in various industrial fields in the city but also in other regions. Thus, the purpose of this study is to identify the current status of Busan as a smart tourism city and to present the results that can contribute to setting the future direction. The results showed that the amount of output, income, value-added and indirect tax generated by Busan to the city itself and other regions are estimated about 7.6 trillion KRW, 3.2 trillion KRW, 3 trillion KRW and 100 billion KRW, respectively.

Does smart tourism technology matter? Lessons from three smart tourism cities in South Korea

ABSTRACT Based on smart tourism technology attributes and destination services, we examine how the smart tourism satisfaction and service satisfaction affect the overall satisfaction of smart tourism city by using structural equation model. Results of survey from Seoul, Busan and Jeju in South Korea revealed a slight difference in destination services and service satisfaction relationship among three cities. Multigroup analysis was conducted on the commonly adopted paths. The results also suggest that, smart tourism technology attributes have a positive effect on smart tourism satisfaction in all cities. From the results, we suggest customized discussion by the cities.