PURBA-2016

CALL FOR PAPERS

Over the past decade, the development of digital networks and operations has produced an unprecedented wealth of information. Handheld electronics, location devices, telecommunications networks, and a wide assortment of tags and sensors are constantly producing a rich stream of data reflecting various aspects of urban life. For urban planners and designers, these accumulations of digital traces are valuable sources of data in capturing the pulse of the city in an astonishing degree of temporal and spatial detail. Yet this condition of the hybrid city – which operates simultaneously in the digital and physical realms – also poses difficult questions about privacy, scale, and design, among many others. These questions must be addressed as we move toward achieving an augmented, fine-grained understanding of how the city functions – socially, economically and yes, even psychologically.

Topics

This workshop is the forth in this series building upon the successful PURBA-2011, PURBA-2012, and PURBA-2013 workshops. It aims to bring together researchers and practitioners to discuss and explore the research challenges and opportunities in applying the pervasive computing paradigm to urban spaces.

We are seeking multi- disciplinary contributions that reveal interesting aspects about urban life and exploit the digital traces to create novel urban applications that benefit citizens, urban planners, and policy makers. The PURBA-2015 workshop fosters discussions covering topics such as (but not limited to):

• Pervasive computing applications for urban planning and design
• Mining of data collected from urban networks e.g. transportation, energy
• Urban mobility and geo-localization
• Multi-source urban information integration
• Real-time urban information processing
• City-related knowledge infrastructure and computational models
• Case studies and applications of mixed urban sensing and mining
• Analysis of social networks in urban space
• Middleware for mobile urban computing
• Context-aware systems for urban space
• Smart cities
• Intelligent transportation system
• Urban application demos and visualizations
• Wireless sensor networks, mobile devices, and social network sensing
• Security, privacy, reputation, and trust issues in urban computing
• Impact of pervasive technologies in urban space e.g. social, economical, and psychological.

Important Dates
Paper submission: 12 June 2016 (Extended)
Paper notification: 28 June 2016
Camera-ready: 1 July 2016
Workshop: 13 September 2016

Submissions
We welcome regular (up to 9 pages) and short (up to 5 pages) paper contributions submitted as PDF files. The workshop accepts manuscripts in SIGCHI Extended Abstracts Format. The accepted papers will be published in the Ubicomp 2016 Adjunct Proceedings, which will be included in the ACM Digital Library and indexed by SCOPUS. Visionary and position papers are encouraged. All contributions must not have been previously published or be under consideration for publication elsewhere. All submitted papers will be reviewed and judged on originality, technical correctness, relevance, and quality of presentation by the Program Committee. All accepted submissions must be presented during the workshop.

Best Paper Award
The Best Paper Award is given to the best paper presented at the PURBA 2016 workshop, to acknowledge and encourage excellence in research. The awardee will be presented with a certificate and a monetary award at the workshop.

Please submit via Easychair

Microsoft Word: [template]
LaTeX: [template]

Questions
purba2016@easychair.org

Program Committee

Afra Mashhadi, Bell-Laboratories
Carlos Bento, Universidade de Coimbra, Portugal
Elizabeth Daly, IBM Research
Enrique Frias-Martinez, Telefonica
Fahim Kawsar, Bell-Laboratories
Francesco Calabrese, IBM Research
Francisco Pereira, Massachusetts Institute of Technology
Marco Veloso, Universidade de Coimbra, Portugal
Merkebe Demissie, Universidade de Coimbra, Portugal
Mirco Musolesi, University College London
Neal Lathia, University of Cambridge
Nic Lane, Bell-Laboratories
Petteri Nurmi, Helsinki Institute for Information Technology
Rob Comber, Newcastle University, UK
Ronald Schroeter, Queensland University of Technology
Shibasaki Ryosuke, University of Tokyo
Stanislav Sobolevsky, New York University
Stephan Sigg, Aalto University
Tuck Leong, University of Technology Sydney
Vanessa Frías-Martínez, University of Maryland
Ulf Blanke, ETH-Zurich
Zbigniew Smoreda, Orange Labs

Organizers

Santi Phithakkitnukoon
Chiang Mai University

Santi Phithakkitnukoon is an assistant professor in the Department of Computer Engineering, Faculty of Engineering at Chiang Mai University, Chiang Mai, Thailand. Contact Santi at santi@eng.cmu.ac.th

Teerayut Horanont
Thammasat University

Teerayut Horanont is an assistant professor at the School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology (SIIT), Thammasat University, Bangkok, Thailand. Contact Teerayut at teerayut@siit.tu.ac.th

Sourav Bhattacharya
Bell-Laboratories

Sourav Bhattacharya is a postdoctoral researcher at Bell Labs Dublin, Ireland. Contact Sourav at sourav.bhattacharya@bell-labs.com

Yoshihide Sekimoto
University of Tokyo

Yoshihide Sekimoto is an associate professor and the director of Sekimoto Lab at the Institute of Industrial Science, University of Tokyo, Japan. Contact Sekimoto at sekimoto@iis.u-tokyo.ac.jp

Program

9:30     Introduction
10:00    Paper presentations: Urban Living (1.1, 1.2)
10:30    Coffee break 1
11:00    Paper presentations: Smartphone (2.1, 2.2, 2.3, 2.4)
12:30    Lunch break
13:45    Paper presentations: Transportation (3.1, 3.2, 3.3, 3.4, 3.5)
15:30    Coffee break 2
16:00    Keynote -- "Creating Smart City Services with Social Open Big Data: Towards Sustainable Smart Services" by Prof. Hideyuki Tokuda, Keio Univeristy (Japan)
17:00    Best Paper Award + Closing remarks

(Paper presentations separated by topic)

1. Urban Living:::

1.1 Mobile Walking Game and Group-Walking Program to Enhance Going Out for Older Adults (Masami Takahashi, Hitoshi Kawasaki, Atsuhiko Maeda, Motonori Nakamura) NTT Network Innovation Laboratories (Japan) [pdf]

1.2 Expand Your Comfort Zone! Smart Urban Objects to Promote Safety in Public Spaces for Older Adults (Anna Kötteritzsch, Michael Koch, Susanne Wallrafen) Bundeswehr University Munich (Germany); Sozial Holding der Stadt Mönchengladbach GmbH (Germany) [pdf]

2. Smartphone:::

2.1 Visualizing Mobile Phone Usage for Exploratory Analysis: A case study of Portugal (Nuttapong Kaewnoi, Narida Suntiparadonkul, Santi Phithakkitnukoon, Zbigniew Smoreda) Chiang Mai University (Thailand); Orange Labs (France) [pdf]

2.2 Monitoring Crowd Condition in Public Spaces by Tracking Mobile Consumer Devices with Active WiFi Interfaces (Jens Weppner, Benjamin Bischke, Paul Lukowicz) University of Kaiserslautern (Germany) [pdf]

2.3 Real-time people movement estimation in large disasters from several kinds of mobile phone data (Yoshihide Sekimoto, Akihito Sudo, Takehiro Kashiyama, Toshikazu Seto, Hideki Hayashi, Akinori Asahara, Hiroki Ishizuka, Satoshi Nishiyama) The University of Tokyo (Japan); Hitachi Ltd. (Japan); KDDI Corporation (Japan) [pdf]

2.4 Tweets of the Nation: Tool for visualizing and analyzing global tweets (Thatchaphon Klomklao, Panat Ratanarungrong, Santi Phithakkitnukoon) Chiang Mai University (Thailand) [pdf]

3. Transportation:::

3.1 Visualization Tool for Taxi Usage Analysis: A case study of Lisbon, Portugal (Postsavee Prommaharaj, Santi Phithakkitnukoon, Marco Veloso, Carlos Bento) Chiang Mai University (Thailand); University Coimbra (Portugal) [pdf]

3.2 An empirical study on the regularity of route mobility (Farbod Faghihi and Petteri Nurmi) University of Helsinki (Finland) [pdf]

3.3 How taxi driver behavior impact to their profit? Discerning the real driving from the large scale GPS traces (Thananut Phiboonbanakit and Teerayut Horanont) Sirindhorn International Institute of Technology, Thammasat University (Thailand) [pdf]

3.4 Representation Learning for Geospatial Areas using Large-scale Mobility Data from Smart Card (Masanao Ochi, Kimitaka Asatani, Yuko Nakashio, Matthew Ruttley, Yuta Yamashita, Junichiro Mori, Ichiro Sakata) The University of Tokyo (Japan) [pdf]

3.5 BikeNow: A Pervasive Application for Crowdsourcing Bicycle Traffic Data (Sven Fröhlich, Thomas Springer, Stephan Dinter, Sebastian Pape, A. Schill, Jürgen Krimmling) Technical University of Dresden (Germany) [pdf]

Keynote Speaker

Prof. Hideyuki Tokuda

Hideyuki Tokuda is a Professor of the Graduate School of Media and Governance and Professor at the Faculty of Environment and Information Studies, Keio University, Japan. He obtained his B.S. (1975), M.S. (1977) from Keio University and Ph.D. (Computer Science) (1983) from University of Waterloo, Canada, respectively.
Creating Smart City Services with Social Open Big Data
In this talk, we discuss smart city services we have developed in ClouT, G-Space and SODA project using social open big data. These services are aiming at empowering citizens, improving QoL and resiliency of the city.
We summarize with the changes in creating sustainable smart city services and platforms.