Spatiotemporal Structure Features of Network Check-in Activities of Urban Residents and Their Impacting Factors: A Case Study in Six Urban Districts of Beijing-Reference-Cited by-同舟云学术

Spatiotemporal Structure Features of Network Check-in Activities of Urban Residents and Their Impacting Factors: A Case Study in Six Urban Districts of Beijing

Published:2017-01 Issue:1 Volume:16 Page:131-138
ISSN:1346-7581
Container-title:Journal of Asian Architecture and Building Engineering
language:en
Short-container-title:Journal of Asian Architecture and Building Engineering

Author:

Dai Linlin¹,Xue Tao²,Wu Bihu³,Rong Xiao⁴,Xu Bixia⁵

Affiliation:

1. Lecturer, College of Urban and Environmental Sciences, Peking University, China Visiting Scholar, Department of Architecture, University of Cambridge, UK

2. Master, College of Urban and Environmental Sciences, Peking University, China

3. Professor, College of Urban and Environmental Sciences, Peking University, China

4. Ph.D. Candidate, Department of Architecture, University of Cambridge, UK

5. Researcher, Department of Architecture, Griffith University, Australia

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Building and Construction,Cultural Studies,Architecture,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.3130/jaabe.16.131

Reference3 articles.

1. Brown, B., Taylor, A. S., Izadi, S., Sellen, A., Jofish Kaye, J. and Eardley, R. (2007). Locating family values: A field trial of the Whereabouts Clock (pp.354-371). Springer Berlin Heidelberg.

2. Cho, Y.S., Ver Steeg, G. and Galstyan, A. (2013). Socially relevant venue clustering from check-in data. In Proceeding of 11th Workshop on Mining and Learning with Graphs. MLG.

3. Rösler, R. and Liebig, T. (2013). Using data from location based social networks for urban activity clustering. In Geographic Information Science at the Heart of Europe (pp.55-72). Springer International Publishing.

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