Obtaining insights into human mobility patterns and being able to reproduce them accurately is of the utmost importance in a wide range of applications from public health, to transport and urban planning. Still the relationship between the effort individuals will invest in a trip and the importance of its purpose is not taken into account in individual mobility models that can be found in the recent literature. Here, we address this issue by introducing a model hypothesizing a relation between the importance of a trip and the distance travelled. In most practical cases, quantifying such importance is undoable. We overcome this difficulty by focusing on shopping trips (for which we have empirical data) and by taking the price of items as a proxy. Our model is able to reproduce the long-tailed distribution in travel distances empirically observed and to explain the scaling relationship between distance travelled and item value found in the data.

中文翻译：

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旅行目的地对于模拟个体人类流动模式的重要性


深入了解人类流动模式并能够准确地再现它们对于公共卫生、交通和城市规划等广泛应用至关重要。然而，在最近的文献中可以找到的个人出行模型中，并没有考虑到个人在旅行中投入的努力与其目的的重要性之间的关系。在这里，我们通过引入一个模型来解决这个问题，该模型假设旅行的重要性和旅行距离之间的关系。在大多数实际情况下，量化这种重要性是不可撤销的。我们通过关注购物旅行（我们有经验数据）并以商品价格作为代理来克服这一困难。我们的模型能够重现凭经验观察到的行驶距离的长尾分布，并解释行驶距离与数据中发现的物品价值之间的比例关系。