Mining Travel Behaviors of Tourists with Mobile Phone Data: A Case Study in Hainan

被引：0
|
作者：
Ling, Feng [1 ,3 ]
Sun, Tianyue [1 ,3 ]
Zhu, Xinning [1 ,3 ]
Chen, Qingqing [2 ,3 ]
Tang, Xiaosheng [1 ,3 ]
Ke, Xin [4 ]
机构：
[1] Minist Educ, Key Lab Univ Wireless Commun, Beijing, Peoples R China
[2] Inst Sensing Technol & Business BUPT, Wuxi, Peoples R China
[3] Beijing Univ Posts & Telecommun, Beijing, Peoples R China
[4] Beijing Res Inst China Telecom Beijing, Beijing, Peoples R China
来源：
2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年
基金：
国家高技术研究发展计划(863计划);
关键词：
hierarchical analytical method; travel behavior; mobile phone data; platform;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
As the mobile devices are used widely, it is possible to research human mobility and behaviors by using the increasing mobile phone data. This paper aims to mine travel behaviors of users in Rainan, a popular tourist destination in China. The data is Call Detail Records (CDR) and Point of Interest (POI) information. Specifically, a data processing platform is developed. It can convert the large scale of CDR and location-based data to trajectories by utilizing the cross-domain data. Furthermore, a hierarchical analytical method is built on our platform to identify the difference of tourists respectively in temporal and spatial dimensions. Finally, the most popular travel patterns and top 3 travel routes for short-term tourists in Sanya are discovered from the trajectories of tourists according to the platform.
引用
收藏
页码：1524 / 1529
页数：6
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