Towards an Understanding of Refugee Segregation, Isolation, Homophily and Ultimately Integration in Turkey Using Call Detail Records

2019 ◽  
pp. 141-164 ◽  
Author(s):  
Jeremy Boy ◽  
David Pastor-Escuredo ◽  
Daniel Macguire ◽  
Rebeca Moreno Jimenez ◽  
Miguel Luengo-Oroz
Keyword(s):  
Call Detail Records

Predicting Population-Level Socio-Economic Characteristics Using Call Detail Records (CDRS) in Sri Lanka

2017 ◽  
Author(s):  
Aparna Surendra ◽  
Sriganesh Lokanathan ◽  
Thavisha Perera-Gomez
Keyword(s):  
Sri Lanka ◽  
Population Level ◽  
Call Detail Records

Call Detail Records to Obtain Estimates of Forcibly Displaced Populations

2019 ◽  
pp. 29-52
Author(s):  
David Pastor-Escuredo ◽  
Asuka Imai ◽  
Miguel Luengo-Oroz ◽  
Daniel Macguire
Keyword(s):  
Displaced Populations ◽  
Call Detail Records

Syrian Refugee Integration in Turkey: Evidence from Call Detail Records

2019 ◽  
pp. 223-249 ◽  
Author(s):  
Tugba Bozcaga ◽  
Fotini Christia ◽  
Elizabeth Harwood ◽  
Constantinos Daskalakis ◽  
Christos Papademetriou
Keyword(s):  
Syrian Refugee ◽  
Refugee Integration ◽  
Call Detail Records

scholarly journals Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review

2018 ◽  
Vol 6 (7) ◽  
pp. e161 ◽  
Author(s):  
Kerina Helen Jones ◽  
Helen Daniels ◽  
Sharon Heys ◽  
David Vincent Ford
Keyword(s):  
Mobile Phone ◽  
Health Research ◽  
Phone Call ◽  
Research Review ◽  
Call Detail Records

scholarly journals Exploring Group Movement Pattern through Cellular Data: A Case Study of Tourists in Hainan

2018 ◽  
Author(s):  
Xinning Zhu ◽  
Tianyue Sun ◽  
Hao Yuan ◽  
Zheng Hu ◽  
Jiansong Miao
Keyword(s):  
Pattern Mining ◽  
Historical Data ◽  
Movement Pattern ◽  
Phone Call ◽  
Specific Group ◽  
Group Movement ◽  
Trajectory Similarity ◽  
Group Members ◽  
Call Detail Records

Identifying group movement patterns of crowds and understanding group behaviors is valuable for urban planners, especially when the groups are special such as tourist groups. In this paper, we present a framework to discover tourist groups and investigate the tourist behaviors using mobile phone call detail records (CDRs). Unlike GPS data, CDRs are relatively poor in spatial resolution with low sampling rates, which makes it a big challenge to identify group members from thousands of tourists. Moreover, since touristic trips are not on a regular basis, no historical data of the specific group can be used to reduce the uncertainty of trajectories. To address such challenges, we propose a method called group movement pattern mining based on similarity (GMPMS) to discover tourist groups. To avoid large amounts of trajectory similarity measurements, snapshots of the trajectories are firstly generated to extract candidate groups containing co-occurring tourists. Then, considering that different groups may follow the same itineraries, additional traveling behavioral features are defined to identify the group members. Finally, with Hainan province as an example, we provide a number of interesting insights of travel behaviors of group tours as well as individual tours, which will be helpful for tourism planning and management.

Discovery of Call Detail Records

2012 ◽  
pp. 163-165
Author(s):  
Larry E. Daniel ◽  
Lars E. Daniel
Keyword(s):  
Call Detail Records
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