Comprehensive Evaluation of Accessibility for Tourist Attractions in Wuhan City

Authors: Xiaofang Wang*, Central China Normal University, Shuangyu Xie, Central China Normal University, Qi Zhang, Sun Yat-Sen University, Jiaojiao Yin, Central China Normal University
Topics: Tourism Geography, Urban Geography
Keywords: Accessibility, Tourist Perception,Space Syntax,Network Text Analysis
Session Type: Paper
Day: 4/11/2018
Start / End Time: 10:00 AM / 11:40 AM
Room: Mid-City, Sheraton, 8th Floor
Presentation File: No File Uploaded


At present, urban tourism in China is entering a period of rapid development. With the rapid development of three-dimensional transportation networks in the whole country, the inter-cities and interregional traffic have been improved greatly. The cities' tourism accessibility has been improved significantly. Visitors can reach the tourist destination city easily. However, the problem of low accessibility within the city is becoming more and more prominent. The passenger flows between scenic spots are disordered, which significantly affected the quality of tourism experience and the efficiency of tourism activities.
Based on the spatial network relationship, the spatial perception of the tourist groups and the urban space, this paper comprehensively evaluates the traffic accessibility. Through objective and subjective evaluation, we hope to better grasp the spatial distribution law of accessibility of tourist attractions, and provide new ideas for the optimization of tourist traffic in Wuhan city.
First of all, based on the graph theory and the relationship between the objective road and the tourist attractions in space, this research scientifically and objectively evaluates the accessibility of tourist attractions from three aspects, local accessibility, global accessibility and perceived accessibility by the space syntax method; Secondly, based on the perspective of tourist experience, data mining for the tourists published travel notes is carried out by the network text analysis method. In addition, the research analyzes the perception of the tourists from the 5 dimensions .

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