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n all the courses of life. In order to support this argument, let us start with the first model that is not only helpful for civil engineers and road planners but also for the doctors and physicians too.

 

Self-similar Least Action Walk (SLAW)

(Statistical model of human mobility proposed by researchers of university of South Korea)

Although from the above discussion, it was assumed that the human mobility models and theories are technology based only and have nothing to do with the normal life but there is a statistical model proposed by the researchers of University of South Korea which carries its implementations in the field of medical sciences. This model serves the purpose of stimulating human mobility and notes the patterns on which people move on daily basis or even for months or years. It is claimed that this is the model measuring the patterns of movement on regular basis with the help of statistical data. Good thing about this model is its being able to cover a wide range of topics associated with human mobility like its significant uses including the one related to effective land planning and also for the public health issues which are the most sensitive issue of the time and demands fight back against many fatal epidemic cases.

 

The trajectories and the movement patterns were recorded by the researchers who noted and plotted the points where the candidates stopped moving. This was important for the sake of understanding the patterns of mobility of the volunteers who participated in the research study. It was found that several activities are performed by the individuals simultaneously which can be performed easily because of proximity of the destined places at which the tasks have to be done. Like if a person moves out for getting medicine and also need money and the bank is situated near medical store, he will try to go to both the places in one trip for avoiding coming over there again and saving time too. It was also found that flow of human mobility id towards popular places as compare to unknown places or in other words majority of the people like to go to the places which are famous because of any reason [9].

 

From these behaviors, various statistical patterns were developed like it was explained that the geographical proximity matters a lot in defining the statistical patterns of human mobility as people tend to cluster up all the tasks which can be performed within the same geographical location leading to saving of time and efforts. Model suggests that the jumps, although very short, come in the clustered areas in the course of making long jumps in that area. They have given explained these patterns by making considering them under a statistical process known as self-similar points of visit which means that people tend to visit those areas which are close to each other and with the passage of time they start developing a feeling of comfort while going to that point. In 本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。