Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tetsuo Sakimoto"'
Publikováno v:
IEEE Access, Vol 7, Pp 53377-53391 (2019)
Human mobility data such as global positioning system (GPS) data from mobile phones and smart card data of public transportation have been used for the analysis of a city. Those studies have attempted to create networks whose nodes represent areas of
Externí odkaz:
https://doaj.org/article/128100d508314b1d86f973cddee0e7c9
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-25 (2019)
Abstract In recent years, mobility data from smart cards, mobile phones and sensors have become increasingly available. However, they often lack some of the key information including the purposes of trips for each individual user. Information on trip
Externí odkaz:
https://doaj.org/article/a337403aa48346c38081cad96a5b5ebc
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 11, p 416 (2018)
This study attempts to investigate a method for creating an index from mobility data that not only correlates with the number of people who relocate to a place, but also has causal influence on the number of such individuals. By creating an index bas
Externí odkaz:
https://doaj.org/article/fde5d670c0664b2fa25fd542b68473b0
Publikováno v:
IEEE Access, Vol 7, Pp 53377-53391 (2019)
Human mobility data such as global positioning system (GPS) data from mobile phones and smart card data of public transportation have been used for the analysis of a city. Those studies have attempted to create networks whose nodes represent areas of
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-25 (2019)
In recent years, mobility data from smart cards, mobile phones and sensors have become increasingly available. However, they often lack some of the key information including the purposes of trips for each individual user. Information on trip purposes
Publikováno v:
ISPRS International Journal of Geo-Information
Volume 7
Issue 11
ISPRS International Journal of Geo-Information, Vol 7, Iss 11, p 416 (2018)
Volume 7
Issue 11
ISPRS International Journal of Geo-Information, Vol 7, Iss 11, p 416 (2018)
This study attempts to investigate a method for creating an index from mobility data that not only correlates with the number of people who relocate to a place, but also has causal influence on the number of such individuals. By creating an index bas