EconPapers    
Economics at your fingertips  
 

Estimating Spatiotemporal Distribution of Moving People in Urban Areas Using Population Statistics of Mobile Phone Users

Toshihiro Osaragi ()
Additional contact information
Toshihiro Osaragi: Tokyo Institute of Technology

A chapter in Advances and New Trends in Environmental Informatics, 2021, pp 181-192 from Springer

Abstract: Abstract This paper proposed a method for estimating the spatiotemporal distribution of static and transient populations of urban areas by using population statistics created from the location information for users of cell phones. The advantages and disadvantages of the various population statistics available were evaluated and methods were investigated for integrating the data while using their strengths to best advantage and compensating for weaknesses.

Keywords: Spatiotemporal distribution; Mobile spatial statistics; Konzatsu-tokei®; Person trip survey; Moving people (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-61969-5_13

Ordering information: This item can be ordered from
http://www.springer.com/9783030619695

DOI: 10.1007/978-3-030-61969-5_13

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:prochp:978-3-030-61969-5_13