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Tourist Flow Management: Social Impact Evaluation through Social Network Analysis

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Sustainability

The present paper was prompted by the activity carried out within the scope of an EU-funded project (WARMEST). It calls to analyse the reasons for the degradation of the Patio de Los Leones, which attracts over 2 million tourists per year to Granada in Spain. We review here the most advanced studies and regulations on the assessment of the social impact of mass tourism and present a novel methodology to analyse its effects. We dug into the material available on social networks—especially feedback to posts published on major relevant sites—and got a comprehensive picture of the thoughts that were expressed there and a comprehensive assessment of the citizens’ opinion on the social impact of tourism in Granada. Thus, we obtained a new indicator called “C.1.2 index modified”, which measures the level of dissatisfaction of citizens with the tourists’ pressure; we propose to replace the existing ETIS index with C.1.2, which is mainly based on direct surveys that are often carried out wit...

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In this study, the presence and management of the social networks of 78 tourist destinations were analyzed for the development of sustainable tourism, with particular attention being paid to Spanish smart destinations. The variables for the empirical analysis were determined from a literature review, and it was concluded from a descriptive analysis, correlation analysis and an analysis of variance, that although the presence of tourist destinations on the internet and on social networks was notable, their management was inadequate for the development of sustainable tourist destinations. It was shown that there is a direct relationship between the number of visitors at a tourist destination and its presence on social networks. However, our analyses found that this correlation was not related to social network management; a greater number of visitors were not related to the effective management of social networks. It was concluded that smart destinations, despite having a technologica...

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The recent growth in scale and relevance of social networks has generated new possibilities for communication and interaction with and among their users in the tourism sector. As Spain is among the world's top tourism destinations, it is valuable to study its presence and engagement with users of official social networks. These social networks are used to promote Spain as a tourist destination. This study's methodology focused on measuring a series of indicators of destination performance through the online analysis tool 'Fanpage Karma'. Data were obtained for each of the last four full years (2015 to 2018), with the purpose of deepening understanding of destination performance, including its evolution. The findings show that Facebook's importance increasingly declined, despite maintaining a large number of followers, it has seen reduced publications and, above all, less interactions with users. By contrast, Instagram has experienced continuous growth in promoting Spain as a tourist destination, demonstrating increasing levels of interaction with potential travellers. Implications for academia and industry are drawn from the findings.

This new book in the series Advances in Tourism Economics provides a series of interesting studies on the socio-economic impacts of tourism, with a special focus on the determinants of tourism competitiveness at the destination level. The 16 chapters of the book offer a systematic perspective for these important questions, presenting relevant empirical studies from different parts of the world, based on modern theoretical approaches and adequate analysis tools, with a view to their policy or managerial implications. The book is organised in three parts. The first part is oriented to the analysis and assessment of quantitative tourism impacts on local economies, presenting ade- quate methodologies for different aspects of the tourism activities. Questions related to the identification of different patterns of propensity to travel among different tourism issuing markets, effects of seasonal fluctuations of demand, sectorial economic effects, impacts of the organisation of major cultural events and potential benefits of tourism for small rural communities will be analysed. The second part of the book is focused on the role of innovation and human resources as crucial elements to increase the competitiveness of a tourism destina- tion and to maximize the benefits of tourism at the local level. This part starts with a discussion of the relation between the ability to innovate and tourism competitive- ness at national level, followed by the analysis of questions related to social capital, human capital, type of leadership and labour competences, analysed at local level. Finally, this chapter concludes with a discussion on the importance of strategic management for innovation and human resources management at company level. The final part of the book zooms in on different dynamics often observed in tourism destinations, arising from the interaction between tourists and local com- munities. This part includes a discussion of the social legitimacy of tourism in the face of its positive and negative impacts, an analysis of intermodal processes of competition among transportation modes and a discussion on methods for loca- tional decisions in the hotel sector. The perceptions and evaluations of local communities regarding the classification of World Heritage Sites or the organisa- tion of major cultural events are also analysed at destination level and the book concludes with an original analysis of the role of tourism influencing the cultural and political values of tourists when operating in a different societal context.

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Statistical analysis of tourist flow in tourist spots based on big data platform and DA-HKRVM algorithms

  • Original Article
  • Published: 14 November 2019
  • Volume 24 , pages 87–101, ( 2020 )

Cite this article

  • Daming Li 1 , 2 ,
  • Lianbing Deng 1 &
  • Zhiming Cai 2  

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30 Citations

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In the context of economic globalization, the rapid transmission of network information, people’s attention to tourism culture perspective has changed significantly; new and popular tourism projects are more favored. In order to avoid large-scale crowding and waste of resources in tourist attractions, it is a hot topic in the field of tourism to study the spatial and temporal distribution of tourist flows. By analyzing the spatial and temporal distribution characteristics of tourist flow in scenic spots, this paper constructs a big data platform based on tourist flow information, and proposes a data mining technology based on the DA-HKRVM algorithm to predict the tourist flow in the dimension of spatial and temporal distribution. By feeding the forecast results back to the staff of scenic spots in real time, the scale of passenger flow distribution can be effectively controlled, the purpose of balanced distribution of tourism resources can be achieved, and the development of intelligent tourism can be further promoted. The simulation result shows that the spatial-temporal distribution model of tourist flow based on data mining has good adaptability and accuracy in application. It shows that the method proposed in this paper can reduce the negative impact caused by the uneven spatial and temporal distribution of tourism flow, and can provide theoretical guidance for the efficient development of tourism economy.

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Zeng B, He Y (2018) Factors influencing Chinese tourist flow in Japan—a grounded theory approach[J]. Asia Pac J Tour Res 24(1):1–14

Zhong S, Zhang J, Li X (2011) A reformulated directional bias of tourist flow[J]. Tour Geogr 13(1):129–147

Article   Google Scholar  

Lew A, Mckercher B (2006) Modeling tourist movements: a local destination analysis[J]. Ann Tour Res 33(2):403–423

Lim C (2014) The major determinants of Korean outbound travel to Australia [J]. Math Comput Simul 64(3–4):477–485

MathSciNet   MATH   Google Scholar  

Hui TK, Chiching Y (2002) A study in the seasonal variation of Japanese tourist arrivals in Singapore [J]. Tour Manag 23(2):127–131

Yi W, Yu C, Yuqi LU et al (2017) Analysis of the space-time dynamics and influencing factors of scientific and technological innovation ability of tourism industry in China [J]. J Geo-Inform Sci 14(7):45–49

Google Scholar  

Shoval N, Isaacson M (2007) Sequence alignment as a method for human activity analysis in space and time [J]. Ann Assoc Am Geogr 97(2):282–297

Wang LC, Yan CX, Li W (2017) Spatio-temporal characteristics of tourism flow based on Sina Weibo big data: a case study of Lanzhou City [J]. J Tour 32(5):94–105

Silva FBE, Herrera MAM, Rosina K et al (2018) Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources [J]. Tour Manag 68:101–115

Cheng Q (2018) Railway passenger flow forecasting model based on wavelet packet and long-term and short-term memory fusion [J]. Comput Syst Appl 27(07):123–128

Fukunami M, Yellon DM, Kudoh Y, Maxwell MP, Wyse RK, Hearse DJ (1987) Spatial and temporal characteristics of the transmural distribution of collateral flow and energy metabolism during regional myocardial ischemia in the dog [J]. Can J Cardiol 3(2):94–103

Bai M, Di X, Zhang S et al (2013) Spatial–temporal distribution characteristics of water-nitrogen and performance evaluation for basin irrigation with conventional fertilization and fertigation methods [J]. Agric Water Manag 126(8):75–84

Lu W, Xiao W (2017) Spatio-temporal distribution pattern of cable car passenger flow in panholidays: a case study of Huangshan scenic area [C]// IEEE Second International Conference on Data Science in Cyberspace

Chao J, Wei G, Ying L et al (2014) Temporal and spatial distribution characteristics of the effective wind and solar energy in the Bohai Bay coastal area [J]. J Renew Sust Energy 6(4):043133

Liu B, Liu X, Yao WU et al (2016) Spatial and temporal distribution characteristics of planktonic crustaceans in Lake Poyang [J]. Acta Ecol Sin 36(24):11–15

Dong L, Bai H (2017) Temporal and spatial distribution characteristics of water quality of stagnant river network in Tianjin City, China [J]. Adv Sci Technol Water Resour 37(4):8–18

Litaor I, Eshel, Rimmer et al (2008) Hydrogeological characterization of an altered wetland [J]. J Hydrol 349(3–4):333–349

Blakey T, Melesse A, Hall M (2015) Supervised classification of benthic reflectance in shallow subtropical waters using a generalized pixel-based classifier across a time series [J]. Remote Sens 7(5):5098–5116

Cornelissen S (2005) Tourism impact, distribution and development: the spatial structure of tourism in the Western Cape province of South Africa [J]. Dev South Afr 22(2):163–185

Article   MathSciNet   Google Scholar  

Wang DG (2008) Spatial structure of tourism resources in the tourism region of Hulun Buir-Aershan [J]. Arid Land Geogr 31(3):456–463

Yin Z (2016) GroRec: a group-centric intelligent recommender system integrating social, mobile and big data technologies [J]. IEEE Trans Serv Comput 9(5):786–795

Schatz MC (2009) CloudBurst: highly sensitive read mapping with MapReduce [J]. Bioinformatics 25(11):1363–1369

Luo Y, Luo S, Guan J et al (2013) A RAMCloud storage system based on HDFS: architecture, implementation and evaluation [J]. J Syst Softw 86(3):744–750

Zhong Q, Que HK, Chen RM et al (2012) Application of internet of things technology in equipment all life cycle management [J]. Comput Eng 38(5):247–207

Zhang D, Li G, Pan Z et al (2015) A new anti-collision algorithm for RFID tag [J]. Int J Commun Syst 27(11):3312–3322

Cheng W, Long ZH, Jiang GQ, Wireless IP (2011) Voice communication system based on GPRS network [J]. Comput Eng 37(14):82–81

Wang X, Wang Z, Wang TY et al (2013) The design and realization of CNC system test board based on STM32 [J]. Adv Mater Res 694(2):1215–1218

Ting LU, Fang J, Qiao Y (2015) HBase-based real-time storage system for traffic stream data [J]. J Comput Appl 35(1):103–107

Memishi B, Pérez MS, Antoniu G (2015) Diarchy: an optimized management approach for MapReduce masters [J]. Procedia Comput Sci 51(1):9–18

Agrawal R, Gehrke J, Gunopulos D et al (1998) Automatic subspace clustering of high dimensional data for data mining applications [J]. ACM SIGMOD Rec 27(2):94–105

Chen MS, Han J, Yu PS (2002) Data mining: an overview from a database perspective [J]. IEEE Trans Knowl Data Eng 8(6):866–883

Suvannang N, Preeyanon L, Malik AA et al (2018) Probing the origin of estrogen receptor alpha inhibition via large-scale QSAR study [J]. RSC Adv 8(21):11344–11356

Peral J, Maté A, Marco M (2017) Application of data mining techniques to identify relevant key performance indicators [J]. Comput Stand Interfaces 50:55–64

Jin M, Wang Y, Zeng Y (2018) Application of data mining technology in financial risk analysis [J]. Wirel Pers Commun 102(1):1–15

Xu Y, Shen S Q, He Y L, et al (2018) A novel hybrid method integrating ICA-PCA with relevant Vector machine for multivariate process monitoring [J]. IEEE Transactions on Control Systems Technology, PP(99):1–8

Zhang C, He Y, Yuan L et al (2018) A multiple heterogeneous kernel RVM approach for analog circuit fault prognostic [J]. Clust Comput 2:1–13

Veeramsetty V, Venkaiah C, Kumar DMV (2018) Hybrid genetic dragonfly algorithm based optimal power flow for computing LMP at DG buses for reliability improvement [J]. Energy Syst 9(3):709–757

Xu L, Jia H, Lang C, et al (2019) A novel method for multilevel color image segmentation based on Dragonfly Algorithm and Differential Evolution [J]. IEEE Access (99):1–1

Mauro AD, Greco M, Grimaldi M (2016) A formal definition of Big Data based on its essential features [J]. Libr Rev 65(3):122–135

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Acknowledgements

The research is supported by project funded by the China Postdoctoral Science Foundation; project funded by the National Key R&D Program of China: International cooperation between governments in scientific and technological innovation (No. YS2017YFGH002008): Horizon 2020•Urban Inclusive and Innovative Nature; and project funded by the project of FDCT: The forecasting of the flood region of Macao through big data association analysis and hydrodynamic model.

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Li, D., Deng, L. & Cai, Z. Statistical analysis of tourist flow in tourist spots based on big data platform and DA-HKRVM algorithms. Pers Ubiquit Comput 24 , 87–101 (2020). https://doi.org/10.1007/s00779-019-01341-x

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Received : 26 May 2019

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Published : 14 November 2019

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DOI : https://doi.org/10.1007/s00779-019-01341-x

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Travel Daily

Business tourist flow from India to Moscow on the rise: Evgeny Kozlov

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Business + Leisure Travel and MICE 2023 opened on 29 th of September with a keynote speech from the Chairman of The Moscow City Tourism Committee, Evgeny Kozlov. In his speech, the Chairman spoke about the potential for MICE and business tourism in Moscow and the growing number of Indian businessmen who are choosing Moscow as their preferred destination for business events.

Evgeny Kozlov highlighted that the number of business tourists is expected to grow in the coming years. One of the factors supporting the growth of interest from Indian businessmen was the launch of electronic visa program. From August 1, 2023, it has become easier for Indian citizens to organize a trip to Moscow – they can come simply by applying for an electronic visa. The validity period of an e-visa is 60 days from the date of its issuance. You can stay with it in Russia for 16 days. An e-visa has several advantages over a traditional visa. To obtain it, you do not need to go to consulates or embassies, and the only documents required are a digital photograph of your face and a scan of the page with your passport data.

“Before the pandemic, the tourist flow from India grew by 12-15 percent annually. Now we are on the road to recovery – all the conditions have been created for this. Every year hundreds of international exhibitions, forums, congresses and conferences are held in Moscow. Over the past year, about 3.5 million people visited the capital for business purposes and a significant share of them are from India” – he said.

Evgeny Kozlov emphasized that Moscow is a growing hub for international business events and Indian businessmen could benefit from attending these events to expand their network and explore potential business opportunities. The Moscow MICE Ambassadors program, which also premiered at the exhibition, aims to promote Moscow as a preferred destination for business tourism, and Indian businessmen who have completed the program can serve as valuable resources for organizing conferences and events in Moscow. Furthermore, Moscow offers a range of world-class facilities and services for business travelers, including conference centers, hotels, transportation, and sightseeing. He also mentioned that Moscow’s rich cultural heritage and vibrant nightlife could provide Indian businessmen with unique experiences that could enhance their overall business trip.

In conclusion, Evgeny Kozlov expressed his optimism for the future of MICE and business tourism in Moscow. Thus, in October 2023, Moscow will host the largest MICE Congress in Russia. Among the participants are 14 countries, including Indians. The event will provide a platform for businesses in the travel and tourism industry to showcase their products and services.

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tourist flow management

Business Tourist Flow from India to Moscow is One of the Most Numerous – Evgeny Kozlov

tourist flow management

The Moscow City Tourism Committee revealed that Indian businessmen are paying ever growing attention to Russia and its capital, as over the last 2 years the MICE tourist flow from India has grown to become one of the most numerous groups among all foreign business tourists outside the CIS countries.

Business + Leisure Travel and MICE 2023 opened on 29th of September at New Delhi

Business + Leisure Travel and MICE 2023 opened on 29th of September at New Delhi with a keynote speech from the Chairman of The Moscow City Tourism Committee, Mr. Evgeny Kozlov. In his speech, the Chairman spoke about the potential for MICE and business tourism in Moscow and the growing number of Indian businessmen who are choosing Moscow as their preferred destination for business events.

Mr. Evgeny Kozlov highlighted that the number of business tourists is expected to grow in the coming years. One of the factors supporting the growth of interest from Indian businessmen was the launch of electronic visa program. From August 1, 2023, it has become easier for Indian citizens to organize a trip to Moscow – they can come simply by applying for an electronic visa. The validity period of an e-visa is 60 days from the date of its issuance. You can stay with it in Russia for 16 days. An e-visa has several advantages over a traditional visa. To obtain it, you do not need to go to consulates or embassies, and the only documents required are a digital photograph of your face and a scan of the page with your passport data.

“ Before the pandemic, the tourist flow from India grew by 12-15 percent annually. Now we are on the road to recovery – all the conditions have been created for this. Every year hundreds of international exhibitions, forums, congresses and conferences are held in Moscow. Over the past year, about 3.5 million people visited the capital for business purposes and a significant share of them are from India, ” he said.

Evgeny Kozlov emphasized that Moscow is a growing hub for international business events and Indian businessmen could benefit from attending these events to expand their network and explore potential business opportunities. The Moscow MICE Ambassadors program, which also premiered at the exhibition, aims to promote Moscow as a preferred destination for business tourism, and Indian businessmen who have completed the program can serve as valuable resources for organizing conferences and events in Moscow. Furthermore, Moscow offers a range of world-class facilities and services for business travelers, including conference centers, hotels, transportation, and sightseeing. He also mentioned that Moscows rich cultural heritage and vibrant nightlife could provide Indian businessmen with unique experiences that could enhance their overall business trip.

In conclusion, Mr. Evgeny Kozlov expressed his optimism for the future of MICE and business tourism in Moscow. Thus, in October 2023, Moscow will host the largest MICE Congress in Russia. Among the participants are 14 countries, including Indians. The event will provide a platform for businesses in the travel and tourism industry to showcase their products and services.

Moscow City Tourism Committee is the executive body of the Moscow City Government that oversees tourist activities in the capital. The Committee is responsible for legislative initiatives, congress and exhibition activities, and event and image projects. As the brand manager for an attractive tourism image for Moscow, Mostourism constantly analyses global trends, offers Russian and foreign tourists what they want, and also uncovers new opportunities for the capital in terms of interesting and rewarding leisure activities.

For more details, please visit: www.mos.ru/tourism .

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COMMENTS

  1. Tourist Flow Management: Social Impact Evaluation through Social ...

    The present paper was prompted by the activity carried out within the scope of an EU-funded project (WARMEST). It calls to analyse the reasons for the degradation of the Patio de Los Leones, which attracts over 2 million tourists per year to Granada in Spain. We review here the most advanced studies and regulations on the assessment of the social impact of mass tourism and present a novel ...

  2. (PDF) Factors determining international tourist flow to tourism

    International tourist arrivals grew by 5% in 2018 to. reach 1.4 billion m arks and expected to gro w in 2019. with strong momentum at the rate of 4 -5% (UNWTO, 2019). A number of researchers have ...

  3. Visitor flows, trajectories and corridors: Planning and designing

    In addition, the proposed flow-based tourism design mindset suggests new connections between the critical literature in destination marketing and management, work on travel choice, as well as tourism planning and experience design. ... Samedan (CH). 1998-2003 Professor for Tourism Management and Director of the Institute for Tourism and ...

  4. Tourist Flow Management: Social Impact Evaluation through Social

    In terms of tourist flow, years may b e divided into three different seasons: a low, a medium, and a high one. The low season includes January, Fe bruary, November, and December (22% of the

  5. Tourist Flow Management: Social Impact Evaluation through Social

    Keywords: tourist flow management; ETIS; carrying capacity; social impact; social network analysis 1. Introduction The paper aims to define a new methodology to measure the attitude of the population living in major destinations of cultural tourism vis-à-vis the increasing number of visitors. This growing flow is strongly affecting residents ...

  6. Strategic visitor flows and destination management organization

    The relevance of the monitoring of visitor flows (VF), namely the general or aggregate patterns of travellers' movements in a given area is twofold. On the one hand, they are relevant for the spatial description of travel networks. On the other hand, VF patterns are challenging traditional organization of destination management (DM) and are becoming a strategic tool. VFs are useful for ...

  7. How Flow-Based Destination Management Blends Theory and ...

    Flow-based destination management conceptualizes tourism as a complex social phenomenon and destinations as complex dynamic systems of interdependencies activated by visitor flows in a certain space for certain periods of time (Beritelli et al. 2015). Attempts at theorizing closer to the complexity of real, social systems run the danger of ...

  8. PDF Tourist Flow Management: Social Impact Evaluation through Social

    3.1. Social Network Analysis. The analysis of the information provided by social networks can be useful to understand public opinion regarding the e ects of mass tourism. It can also help to track changes in mass tourism continuously and in real time, while questionnaires can be used to deliver random surveys.

  9. Sustainable Management of Tourist Flow Networks: A Mean ...

    In this article, we propose a mean field game approach for modeling the flows of excursionists within a network of tourist attractions. We prove the existence of an equilibrium within the network using a balance ordinary differential equation together with optimality conditions in terms of the value function. We also propose a bi-level formulation of the problem where we aim at achieving a ...

  10. Tourist Flow Management: Social Impact Evaluation through Social

    Tourist Flow Management: Social Impact Evaluation through Social Network Analysis Giovanna Acampa, Mariolina Grasso, Giorgia Marino, Claudia Mariaserena Parisi; Affiliations Giovanna Acampa Faculty of Engineering and Architecture, University "Kore" of Enna, 94100 Enna, Italy ...

  11. Evolution of international tourist flows from 1995 to 2018: A network

    The pattern of tourist flow involves various items of information, which is conducive to designing tourist packages, providing attractive combinations of attractions, proposing tourism guidance policies and marketing management (Lew & McKercher, 2006; Xia et al., 2009).

  12. Tourism Management

    The tourist flow network is visualized according to these node centrality values (Fig. 7). ... The tourism management department of Qingdao has formulated relevant policies for the balanced and sustainable development of tourism but considering that excessively biased policies may have a negative impact on the overall tourism development, ...

  13. Tourist Flow Management: Social Impact Evaluation through So

    Downloadable! The present paper was prompted by the activity carried out within the scope of an EU-funded project (WARMEST). It calls to analyse the reasons for the degradation of the Patio de Los Leones, which attracts over 2 million tourists per year to Granada in Spain. We review here the most advanced studies and regulations on the assessment of the social impact of mass tourism and ...

  14. Intelligence in Tourist Destinations Management: Improved Attention

    Accurate tourist flow forecasting is an important issue in tourist destinations management. Given the influence of various factors on varying degrees, tourist flow with strong nonlinear characteristics is difficult to forecast accurately. In this study, a deep learning method, namely, Gated Recurrent Unit (GRU) is used for the first time for tourist flow forecasting.

  15. How to create flow experience during travel: The role of destination

    Despite numerous studies investigating flow experience in the adventure tourism context, there is a lack of research concentrating on tourists' flow experience during travel. ... Wu CHJ, Liang RD (2011) The relationship between white-water rafting experience formation and customer reaction: a flow theory perspective. Tourism Management 32(2 ...

  16. Measuring Tourist Flow and Inflow: Perspectives and Constraints

    Second, there are diverse forms of tourism, including holiday and business trips, short and long stays etc. Third, the notion of tourism flows has a different meaning for those in charge of road, rail or air flow management, and for those in charge of tourists stays. The paper first discusses the ambiguities of the notions used in tourism studies.

  17. Applying Big Data Analytics to Monitor Tourist Flow for the ...

    Considering the rapid development of the tourist leisure industry and the surge of tourist quantity, insufficient information regarding tourists has placed tremendous pressure on traffic in scenic areas. In this paper, the author uses the Big Data technology and Call Detail Record (CDR) data with the mobile phone real-time location information to monitor the tourist flow and analyse the travel ...

  18. Statistical analysis of tourist flow in tourist spots based ...

    2.1 Temporal and spatial distribution characteristics of tourist flows in scenic spots. Tourism spatial structure is the spatial organization relationship between various elements in the tourism system, including the mutual position, correlation, and interaction of various elements in space, and how various elements are generated, moved, and developed in space [11, 12].

  19. Business tourist flow from India to Moscow on the rise: Evgeny Kozlov

    Business + Leisure Travel and MICE 2023 opened on 29 th of September with a keynote speech from the Chairman of The Moscow City Tourism Committee, Evgeny Kozlov. In his speech, the Chairman spoke ...

  20. Spatial-temporal response patterns of tourist flow under impulse pre

    Third, SVI, tourist flow, and impulse response curves of scenic areas for medium-range distances consistently confirm the law of distance attenuation. Being farther from the destination leads to a lower possibility of travel based on online search. ... Progress in information technology and tourism management: 20 years on and 10 years after the ...

  21. Moscow to increase tourism amongst Kuwaiti citizens

    The flow of tourism from Kuwait to Moscow has been breaking records since covid. The Moscow City Tourism Committee proudly brought its business mission to Kuwait on February 5th, empowering relations with both countries, reaching out to travel agencies, and capitalizing on the outbound tourism growth in the country and the Gulf Region.

  22. Moscow plans measures to woo tourists, Foreign Tourist Card in the

    To woo tourists from across the world, the Moscow City Tourism Committee is taking several measures and to address payment-related issues the Russian government is planning to come out with a virtual 'Foreign Tourist Card', that will enable cashless payments for various services. During the Covid pandemic, the tourist flow to Moscow had ...

  23. Business Tourist Flow from India to Moscow is One of the Most Numerous

    The Moscow City Tourism Committee revealed that Indian businessmen are paying ever growing attention to Russia and its capital, as over the last 2 years the MICE tourist flow from India has grown to become one of the most numerous groups among all foreign business tourists outside the CIS countries.. Business + Leisure Travel and MICE 2023 opened on 29th of September at New Delhi