Analyzing City Blocks' Properties Based on Mobile Data

Abstract

With the rapid growth of cities, urban planners are facing with challenges including road congestion, population overburden and so on. Managing such big and complex cities requires better understanding of the urban blocks' property. Traditional ways are mostly based on manual survey, which cost much and take long time. In this paper, we present a method to analyze the urban blocks' property and activity patterns based on cell phone data, which is cheaper, faster. The result has been proved high accuracy. Real world cell phone data from Beijing is used in this paper.