Utilizing Geospatial Information in Cellular Data Usage for Key Location Prediction

17 Pages Posted: 11 May 2016 Last revised: 14 May 2016

See all articles by Yinan Yu

Yinan Yu

Desautels Faculty of Management, McGill University

Hailiang Chen

City University of Hong Kong - Department of Information Systems

Baojun Ma

Beijing University of Posts and Telecommunication - School of Economics and Management

Benjamin P. C. Yen

The University of Hong Kong - School of Business

Date Written: May 8, 2016

Abstract

Previous research on the identification of key locations (e.g., home and workplace) for a user largely relies on call detail records (CDRs). Recently, cellular data usage (i.e., mobile internet) is growing rapidly and offers fine-grained insights into various human behavior patterns. In this study, we introduce a novel dataset containing both voice and mobile data usage records of mobile users. We then construct a new feature based on the geospatial distribution of cell towers connected by mobile users and employ bivariate kernel density estimation to help predict users’ key locations. The evaluation results suggest that augmented features based on both voice and mobile data usage improve the prediction precision and recall.

Keywords: cellular data usage, geospatial information, home and workplace, precision marketing, telecommunications, kernel density estimation

Suggested Citation

Yu, Yinan and Chen, Hailiang and Ma, Baojun and Yen, Benjamin P. C., Utilizing Geospatial Information in Cellular Data Usage for Key Location Prediction (May 8, 2016). Available at SSRN: https://ssrn.com/abstract=2777071 or http://dx.doi.org/10.2139/ssrn.2777071

Yinan Yu (Contact Author)

Desautels Faculty of Management, McGill University ( email )

526 Bronfman Building
1001 Sherbroke West
Montreal, Quebec
Canada

Hailiang Chen

City University of Hong Kong - Department of Information Systems ( email )

Kowloon Tong
Hong Kong

HOME PAGE: http://www.cb.cityu.edu.hk/staff/hailchen/

Baojun Ma

Beijing University of Posts and Telecommunication - School of Economics and Management ( email )

Mailbox 164, School of Economics and Management
No. 10 Xitucheng Road, Haidian District
Beijing, Beijing 100876
China

HOME PAGE: http://www.baojunma.com

Benjamin P. C. Yen

The University of Hong Kong - School of Business ( email )

Meng Wah Complex
Pokfulam Road
Hong Kong
China

Register to save articles to
your library

Register

Paper statistics

Downloads
80
rank
286,785
Abstract Views
425
PlumX