ABSTRACT
At present, tourist buses are mostly a single mode connecting scenic spots. How to build a multi-level tourist bus system that serves world-class tourist cities is worthy of attention. Based on the concept of TOD, this paper innovatively proposes methods to evaluate the TOD index of tourism and to plan the tourism bus network hierarchically. First of all, this paper constructs a tourism TOD index from three perspectives: the service level around the tourist intention point, the development potential around the tourist intention point, and the traffic convenience near the tourist intention point. In the context of traffic big data, a web spider which is written in Python crawls POI data to realize the quantification of tourism TOD indicators. Then, ArcGIS is used to statistically analyze the tourism TOD index to determine the graded travel demand points of passengers. According to the demand of passenger flow, the multi-level tourist bus network is planned reasonably. Finally, the research results are applied to the tourist bus in Guilin City, which proves that the method has good applicability.
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