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

The University of Hong Kong - Faculty of Business and Economics

Baojun Ma

School of Business and Management, Shanghai International Studies University

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

The University of Hong Kong - Faculty of Business and Economics ( email )

K. K. Leung Building
University of Hong Kong
Hong Kong

HOME PAGE: http://www.fbe.hku.hk/people/academic/hailiang-chen

Baojun Ma

School of Business and Management, Shanghai International Studies University ( email )

1550 Wen Xiang Rd.
Songjiang District
Shanghai, Shanghai 201620
China

HOME PAGE: http://baojunma.com/index_en.html

Benjamin P. C. Yen

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

Meng Wah Complex
Pokfulam Road
Hong Kong
China

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