Resident Mobility Analysis Based on Mobile-phone Billing Data

摘要

Many researches on resident mobility came from traditional data collection methods such as artificial or telephone surveys, but those approaches are difficult to update and the results are limited to a certain point in time. In the past few years, some innovative approaches have sought to use mobile devices to collect spatiotemporal data. In this paper we analyze spatial- temporal characteristics of resident mobility in the city of Shenzhen, using a data set captures for a seven-day period of more than one million anonymous mobile-phone users. In addition, we propose a method of recognizing the location of employment based on this kind of data and then plot an employment distribution map of Shenzhen. This method provides a new way to observe the employment distribution in a city. Understanding resident mobility from a city-wide perspective could provide researchers with convenience to forecast the traffic demand and take measures to traffic management, and could also lead to more informed decision making in both city planning and mass transit planning.