jailcd2016039: Using Social Networking Data to Understand Urban Human Mobility

Abstract

Social networking app has been growing very rapidly in the past decade.  One of the important features of social media is the ability of system that can attach coordinate where they are located (check-in). The aim of this study is to identify the characteristic of human mobility patterns in Bandung city. We proposed a technique uses pixel matching approach.  In this paper, we describe the visualization of the city is determined by the activity of people on Twitter social media. Our work includes firstly, characterize the pattern of user’s interest to different types of places. Secondly, to characterize the pattern of user visits to different neighborhoods with way choose the user’s activity pattern on the weekdays and weekends. We then categorize the existing place based on the period of time that people visiting.  Meanwhile, to define the existing areas, we used official map the city planning department as parameters to determine the user’s movement. Our research will answer the question whether the Twitter App data is a viable resource to measure the human movement? The result indicates that it can be used as the one of the sources of information data to understand urban human mobility.