The location selection of ground-based promotion in city using human mobility data

详细信息    查看全文

• 作者：Shu Chen ; Benxiong Huang
• 关键词：Urban computing ; Human traffic ; Location selection problem ; Ground ; based promotion
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：75
• 期：24
• 页码：17745-17760
• 全文大小：
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems;
• 出版者：Springer US
• ISSN：1573-7721
• 卷排序：75

文摘

With the rapid development of urbane-centered economy, today swelling cities is being filled with massive socioeconomic activities, and urban area have gone through strong but heterogeneous sprawl. Marketer has to put more resources for the ground-based promotion of their products in such metropolis. Therefore, it is very significance to help marketer choose a number of more-suited districts in urban area for promotion. This paper investigates location selection problem of ground-based promotion in city with urban computing’s perspective. In a provincial capital of China, massive call logs from millions of people have been used to abstract human mobility patterns and urban area have been segmented to hundreds of districts so that we model this problem with two essential cases and give corresponding solutions via greedy algorithms. Our theoretical analysis and experimental evolution show the algorithm is effectiveness. This application framework can be used in ground-based promotion of many application scenarios such as o2o applications that fusing of multisource mobility data.