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On Correlation Between Demographic Variables and Movement Behavior

机译:人口统计变量与运动行为的相关性

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The importance of studying the behavior of people and the expansion of access to spatial data has led to development of activities related to study of movement of individuals as well as discovery of patterns and behavior of individuals for better use in urban planning and policymaking. Understanding the relationship between demographic variables and human movement as well as extraction of behavioral patterns is essential to assess different social issues such as locating infrastructures and city management, reducing traffic and structure of urban communities. This paper aims to explore a Swiss human movement sample dataset, called MDC, in order to discover the effect of demographic parameters on human movement patterns in Switzerland. The users' movement is characterized by area and shape index of the movements as the determinants of the activity space. The results declare that middle age users, females and people who work have more active mobility pattern, since they have higher area and shape index than users in other groups. Data analysis and comparison of results indicate that age and working are two decisive demographic factors for area and shape index of the activity space so they are useful for understanding some of the human's movement characteristics.
机译:研究人的行为和扩大获取空间数据的重要性已导致开展与研究个人活动以及发现个人模式和行为有关的活动,以便在城市规划和政策制定中更好地利用这些活动。了解人口统计学变量与人类运动之间的关系以及行为模式的提取对于评估不同的社会问题(如查找基础设施和城市管理,减少城市社区的交通和结构)至关重要。本文旨在探索一个称为MDC的瑞士人类运动样本数据集,以发现人口统计学参数对瑞士人类运动模式的影响。使用者的动作以动作的面积和形状指数为特征,作为活动空间的决定因素。结果表明,中年用户,女性和工作人员的活动方式更为活跃,因为他们比其他组的用户拥有更高的面积和形状指数。数据分析和结果比较表明,年龄和工作是活动空间的面积和形状指数的两个决定性人口统计学因素,因此它们对于理解人类的某些运动特征非常有用。

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