Modeling human activity dynamics : an object-class oriented space–time composite model based on social media and urban infrastructure data

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Modeling human activity dynamics : an object-class oriented space–time composite model based on social media and urban infrastructure data

Year of publication

2021

Authors

Zhang, Zhe; Yin, Dandong; Virrantaus, Kirsi; Ye, Xinyue; Wang, Shaowen

Organizations and authors

Aalto University

Virrantaus Kirsi-Kanerva

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Computational Urban Science

Publisher

SPRINGER

Volume

1

Issue

1

Article number

7

ISSN

2730-6852

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Fully open publication channel

Self-archived

Yes

Other information

Fields of science

Geosciences

Keywords

Object-oriented space–time composite model; Social media data mining; Spatiotemporal data modeling; Urban infrastructure data

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1007/s43762-021-00006-x

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes
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