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Paper Abstract and Keywords
Presentation 2026-05-07 13:55
An analysis example using a Transformer on Quadrant-C estimated population and mobility histories derived from mobile carrier location registration data
Hideki Yoshii, Kohei Yamasaki, Takuya Nagata (SBKK), Yu (Nagasaki Univ.) LOIS2026-3
Abstract (in Japanese) (See Japanese page) 
(in English) The authors confirmed in a previous study the validity of the estimated Quadrant C population within the four-quadrant population framework by comparing it with railway ticket gate data collected in urban areas in October 2024 and October 2025. In addition, we have been investigating destination prediction and the generation of mobility trajectories under specific contextual conditions using mobility trajectory data. In this paper, using mobility trajectory data related to visits to Kyoto originating from Tokyo, we construct a Next Token Prediction (NTP) model, a Masked Language Modeling (MLM) model, and a model fine-tuned on the NTP task using MLM-trained results as pre-training. By comparatively analyzing the embedding representations and conditional prediction results obtained from these models, we examine how differences in training data characteristics and learning methods affect district separability and future mobility prediction performance.
Keyword (in Japanese) (See Japanese page) 
(in English) Four Quadrants Estimated Population / Quadrant C Estimated Population / Next Token Prediction / Masked Language Modeling / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 11, LOIS2026-3, pp. 13-18, May 2026.
Paper # LOIS2026-3 
Date of Issue 2026-04-30 (LOIS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2026-3

Conference Information
Committee LOIS IPSJ-CN IPSJ-SPT  
Conference Date 2026-05-07 - 2026-05-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Mode Gakuen Cocoon Tower 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2026-05-LOIS-CN-SPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An analysis example using a Transformer on Quadrant-C estimated population and mobility histories derived from mobile carrier location registration data 
Sub Title (in English)  
Keyword(1) Four Quadrants Estimated Population  
Keyword(2) Quadrant C Estimated Population  
Keyword(3) Next Token Prediction  
Keyword(4) Masked Language Modeling  
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1st Author's Name Hideki Yoshii  
1st Author's Affiliation SoftBank Corp (SBKK)
2nd Author's Name Kohei Yamasaki  
2nd Author's Affiliation SoftBank Corp (SBKK)
3rd Author's Name Takuya Nagata  
3rd Author's Affiliation SoftBank Corp (SBKK)
4th Author's Name Yu  
4th Author's Affiliation Ichifuji (Nagasaki Univ.)
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Speaker Author-1 
Date Time 2026-05-07 13:55:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2026-3 
Volume (vol) vol.126 
Number (no) no.11 
Page pp.13-18 
#Pages 6 
Date of Issue 2026-04-30 (LOIS) 

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