Pattern Recognition of Travel Mobility in a City Destination: Application of Network Motif Analytics
本文运用网络模体分析，识别出城市旅游中12种关键的旅行流动模式，这些模式约占全部移动模式的50%，并发现不同停留时长和模式比例会影响旅行行为，为城市目的地规划者提供了方法与实践启示。
Urban tourism is considered a complex system. Tourists who visit cities have diverse purposes, leading to multifaceted travel behaviors. Understanding travel movement patterns is crucial in developing sustainable planning for urban tourism. Built on network science, this article discusses 12 key topologies of travel patterns/flow occurring in a city network by applying network motif analytics. The 12 significant types of travel mobility can account for approximately 50% of the total movement patterns. In addition, this study presents variations in travel movement patterns depending on not only different lengths of stay in topological structures of travel mobility, but also relative proportions of each type. As a result, this article suggests an interdisciplinary approach that adopts the network science method to better understand city travel behaviors. Important methodological and practical implications that could be useful for city destination planners are suggested.