![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
2. UrbComp@KDD 2013: Chicago, IL, USA
- Yu Zheng, Steven E. Koonin, Ouri E. Wolfson:
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, UrbComp@KDD 2013, Chicago, Illinois, USA, August 11, 2013. ACM 2013, ISBN 978-1-4503-2331-4
Human mobility
- Chaogui Kang
, Stanislav Sobolevsky, Yu Liu, Carlo Ratti:
Exploring human movements in Singapore: a comparative analysis based on mobile phone and taxicab usages. 1:1-1:8 - Shan Jiang, Gaston A. Fiore, Yingxiang Yang, Joseph Ferreira Jr., Emilio Frazzoli, Marta C. González:
A review of urban computing for mobile phone traces: current methods, challenges and opportunities. 2:1-2:9 - Christian M. Schneider, Christian Rudloff
, Dietmar Bauer
, Marta C. González:
Daily travel behavior: lessons from a week-long survey for the extraction of human mobility motifs related information. 3:1-3:7
Social behaviors and urban activities
- Thiago Henrique Silva
, Pedro O. S. Vaz de Melo
, Jussara M. Almeida, Juliana F. S. Salles, Antonio A. F. Loureiro:
A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior. 4:1-4:8 - Barbara Furletti, Paolo Cintia, Chiara Renso
, Laura Spinsanti:
Inferring human activities from GPS tracks. 5:1-5:8 - Samiul Hasan
, Xianyuan Zhan
, Satish V. Ukkusuri
:
Understanding urban human activity and mobility patterns using large-scale location-based data from online social media. 6:1-6:8 - Ke Zhang
, Qiuye Jin, Konstantinos Pelechrinis, Theodoros Lappas
:
On the importance of temporal dynamics in modeling urban activity. 7:1-7:8 - Alexey Tarasov, Felix Kling, Alexei Pozdnoukhov:
Prediction of user location using the radiation model and social check-ins. 8:1-8:7
Mining urban traffic
- Michael R. Evans, Dev Oliver, Shashi Shekhar, Francis Harvey:
Fast and exact network trajectory similarity computation: a case-study on bicycle corridor planning. 9:1-9:8 - Vahid Moosavi, Ludger Hovestadt:
Modeling urban traffic dynamics in coexistence with urban data streams. 10:1-10:7 - Tanvi Jindal, Prasanna Giridhar, Lu-An Tang, Jun Li, Jiawei Han:
Spatiotemporal periodical pattern mining in traffic data. 11:1-11:8 - Anna Izabel J. Tostes Ribeiro, Fátima de L. P. Duarte-Figueiredo, Renato M. Assunção, Juliana F. S. Salles, Antonio A. F. Loureiro:
From data to knowledge: city-wide traffic flows analysis and prediction using bing maps. 12:1-12:8 - Xin Huang, Jun Luo, Xin Wang:
Finding frequent sub-trajectories with time constraints. 13:1-13:8
Understanding cities
- Zechun Cao
, Sujing Wang, Germain Forestier
, Anne Puissant
, Christoph F. Eick:
Analyzing the composition of cities using spatial clustering. 14:1-14:8 - Srinivas Devarakonda, Parveen Sevusu, Hongzhang Liu, Ruilin Liu, Liviu Iftode, Badri Nath:
Real-time air quality monitoring through mobile sensing in metropolitan areas. 15:1-15:8 - Daniel Preotiuc-Pietro, Justin Cranshaw, Tae Yano:
Exploring venue-based city-to-city similarity measures. 16:1-16:4 - Justin Cranshaw:
Whose "city of tomorrow" is it?: on urban computing, utopianism, and ethics. 17:1-17:6
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.