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Using activity space to investigate the effective variables on human movement behavior
Reyhane Javanmard , Farid Karimipour
Abstract:   (32 Views)
Movement is one of the basic aspects of human life. 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. Understanding the relationship between demographic variables and human movement is essential to assess different social issues such as locating infrastructures and city management, reducing traffic and structure of urban communities. This research deploys the activity space and its determinants as an approach to illustrate how individual’s movement is related to demographic (such as age, gender, and occupation) and temporal (such as the months of the year and the days of the week) variables. It presents some initial results for Swiss human movement sample dataset, called MDC. Data analysis and comparison of results indicate that age, working and time are decisive demographic and temporal variables for area and shape index of the activity space so they are useful for understanding some of the human’s movement characteristics. 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.
Keywords: activity space, movement behavior, demographic variables, time changing
Type of Study: Research | Subject: GIS
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نشریه علمی پژوهشی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology