IMAGES

  1. Spatial pattern of major international tourist flows in 1995

    tourist flows pattern

  2. Tourist Flow: Tourism Geography

    tourist flows pattern

  3. The tourist flows of the Central European area from the point of view

    tourist flows pattern

  4. Dynamics of tourist flows in the leading countries of the world for

    tourist flows pattern

  5. The main international tourist flows in 2005 and income per capita (for

    tourist flows pattern

  6. Visualization of tourist flows in real space (Source: original work

    tourist flows pattern

VIDEO

  1. An introduction to Intrinsic and Flowstate

  2. How Macchu Picchu, Venice and Bali are fighting overtourism

  3. C. Gunn's Model based on Demand and Supply

  4. Tourism Supply Chain

  5. Tourism Flows: Present and Past

  6. Pattaya waterfront in low season, walk at low tide 4K

COMMENTS

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

    For example, Leung et al. (2011) utilized network analysis to analyze the pattern of overseas tourist flows in the most visited tourist attractions throughout the Olympics in Beijing. Likewise, Zeng (2018) estimated the structure and characteristics of Chinese tourist flows in Japan through itineraries from travel services and trip diaries.

  2. Tourists’ digital footprint: The spatial patterns of tourist ...

    The spatial pattern of tourist flows in Qingdao is generally relatively “loose”, forming a network pattern with fierce competition and power imbalances between the destinations. The main characteristics of spatial patterns of tourist flows in Qingdao can be summarized as follows (Fig. 9): (1)

  3. Analysis of spatial patterns and driving factors of ... - Nature

    By investigating the spatial distribution pattern of domestic inter-provincial tourism demand in China, we recognized heterogeneity in the sensitivity of long-distance tourism flows to the ...

  4. Global tourist flows under the Belt and Road Initiative: A ...

    This study applies complex network analysis to examine global tourist flows network in the context of Belt and Road Initiative (BRI). Using tourist flows data between 221 countries/regions over 1995–2018, we investigate the nature and development patterns of structural properties of global network as well as factors influencing its formation. The descriptive analysis indicates that global ...

  5. Tourists’ digital footprint: The spatial patterns of tourist ...

    The spatial and temporal characteristics of tourist mobility and the subsequent various socio-economic impacts are at the core of tourist flow research. As such, scholars have tried to explore the patterns of tourist flows but have, thus far, tended to focus mainly on the movement of tourists between attractions.

  6. A social network analysis of international tourism flow ...

    The number of tourist flows, the intensity of their interactions, and the means these patterns have transformed over time provide insights about the evolution of the flows (Gonzalez-Diaz et al. 2015). That is, the differences between the network at different points in time indicate changes in international tourism and facilitate our ...

  7. Discovering spatial patterns of tourist flow with multi-layer ...

    A complex tourist itinerary visualization model uncovers the spatial structure of multi-layer tourist flows. Dunhuang, a rapidly growing tourist destination in Northwest China, reveals this patterning. Results show that: (1) The spatial structure and flow rate of the tourism flow network is significantly different when different transport modes ...

  8. Tourists’ Digital Footprint: The Spatial Patterns of Tourist

    21 patterns of tourist flows in cities has become increasingly important (Hu et al., 2015; Liu et al., 22 2012). Studying them is of great significance for the design of urban leisure and ...

  9. Tourists’ digital footprint: The spatial patterns of tourist ...

    DOI: 10.1016/j.tourman.2020.104151 Corpus ID: 219758510; Tourists’ digital footprint: The spatial patterns of tourist flows in Qingdao, China @article{Mou2020TouristsDF, title={Tourists’ digital footprint: The spatial patterns of tourist flows in Qingdao, China}, author={Naixia Mou and Yunhao Zheng and Teemu Makkonen and Tengfei Yang and Jinwen (Jimmy) Tang and Yan Song}, journal={Tourism ...

  10. Factors determining international tourist flow to tourism ...

    Spatial patterns of international tourist flows: towards a theoretical framew ork. Progress in Human Geography . 14(3):372-390. Martins LF, Gan Y, Ferreira-Lopes A (2017). An ...