2017DEStech Transactions on Social Science Education and Human ScienceRequires access

Research on City Inbound Tourism Network System Characteristics of Henan Province —Based on Space of Flows

Junyuan Zhao

Open publisher page 1 citations

Abstract

This paper in the perspective of tourist flow, using spatial distribution of high grade scenic spot as the basic data, analysis inbound tourism network’s structure and node’s hierarchical system of key tourist cities in Henan with Arc GIS. It shows that: Firstly, due to the influence of inbound tourism flow which strength can be described as high, mid, low and network’s structure of the inbound tourism flow in 9 key tourist cities have the trend to evolve “diamond” “jumps” “T-shaped” “straight” “triangle” “table grid”. Initiated by some central spots and then, centered on these spots to external radiation and later spread to all regions. The strength of inbound tourist flow forms a “One Belt and One Spot” pattern in space: The Zheng-Bian-Luo tourism belt as the core, periphery formed only one pole—Nanyang. The distribution of the intensity of touristy of tourist flow is right skewed distribution and most tourist flow gather around mode with far less than the average number. Therefore, the tourist flow’s link strength are partial weak as a whole in Henan province. Secondly, the inbound tourism network node of key tourist cities shows significant gradability. The node of key inbound tourist cities has 4 levels which as the center, sub-center, local tourist network associate center and general node of regional inbound tourist network association respectively. Those 4 hierarchical spots show the uniform distribution and each cities are basically same in number.

About this research paper

What this paper is about

This paper in the perspective of tourist flow, using spatial distribution of high grade scenic spot as the basic data, analysis inbound tourism network’s structure and node’s hierarchical system of key tourist cities in Henan with Arc GIS. It shows that: Firstly, due to the influence of inbound tourism flow which strength can be described as high, mid, low and network’s structure of the inbound tourism flow in 9 key tourist cities have the trend to evolve “diamond” “jumps” “T-shaped” “straight” “triangle” “table grid”. Initiated by some central spots and then, centered on these spots to external radiation and later spread to all regions. The strength of inbound tourist flow forms a “One Belt and One Spot” pattern in space: The Zheng-Bian-Luo tourism belt as the core, periphery formed only one pole—Nanyang. The distribution of the intensity of touristy of tourist flow is right skewed distribution and most tourist flow gather around mode with far less than the average number. Therefore, the tourist flow’s link strength are partial weak as a whole in Henan province. Secondly, the inbound tourism network node of key tourist cities shows significant gradability. The node of key inbound tourist cities has 4 levels which as the center, sub-center, local tourist network associate center and general node of regional inbound tourist network association respectively. Those 4 hierarchical spots show the uniform distribution and each cities are basically same in number.

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Available abstract

This paper in the perspective of tourist flow, using spatial distribution of high grade scenic spot as the basic data, analysis inbound tourism network’s structure and node’s hierarchical system of key tourist cities in Henan with Arc GIS. It shows that: Firstly, due to the influence of inbound tourism flow which strength can be described as high, mid, low and network’s structure of the inbound tourism flow in 9 key tourist cities have the trend to evolve “diamond” “jumps” “T-shaped” “straight” “triangle” “table grid”. Initiated by some central spots and then, centered on these spots to external radiation and later spread to all regions. The strength of inbound tourist flow forms a “One Belt and One Spot” pattern in space: The Zheng-Bian-Luo tourism belt as the core, periphery formed only one pole—Nanyang. The distribution of the intensity of touristy of tourist flow is right skewed distribution and most tourist flow gather around mode with far less than the average number. Therefore, the tourist flow’s link strength are partial weak as a whole in Henan province. Secondly, the inbound tourism network node of key tourist cities shows significant gradability. The node of key inbound tourist cities has 4 levels which as the center, sub-center, local tourist network associate center and general node of regional inbound tourist network association respectively. Those 4 hierarchical spots show the uniform distribution and each cities are basically same in number.

Key concepts: Tourism, Node (physics), Distribution (mathematics), Geography, Economic geography, Mathematics, Engineering, Structural engineering

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