Use of Mobile Phone Data to Estimate Visitors Mobility Flows

被引：3

作者：

Gabrielli, Lorenzo ^{[1
]}

Furletti, Barbara ^{[1
]}

Giannotti, Fosca ^{[1
]}

Nanni, Mirco ^{[1
]}

Rinzivillo, Salvatore ^{[1
]}

机构：

[1] CNR, ISTI, KDDLAB, I-56124 Pisa, Italy

来源：

SOFTWARE ENGINEERING AND FORMAL METHODS, SEFM 2014 | 2015年 / 8938卷

关键词：

Big data; Urban population; Inter-city mobility; Data mining;

D O I：

10.1007/978-3-319-15201-1_14

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Big Data originating from the digital breadcrumbs of human activities, sensed as by-product of the technologies that we use for our daily activities, allows us to observe the individual and collective behavior of people at an unprecedented detail. Many dimensions of our social life have big data "proxies", such as the mobile calls data for mobility. In this paper we investigate to what extent data coming from mobile operators could be a support in producing reliable and timely estimates of intra-city mobility flows. The idea is to define an estimation method based on calling data to characterize the mobility habits of visitors at the level of a single municipality.

引用

页码：214 / 226

页数：13

共 16 条

[1] From the Guest Editor: Mobile Positioning and Tracking in Geography and Planning [J].