PURBA-2015

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: 8 June 2015 (extended)
Paper notification: 1 July 2015
Camera-ready: 8 July 2015
Workshop: 7 September 2015

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 2015 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.

Bell-Labs Best Paper Award
The Bell-Labs Best Paper Award is given to the best paper presented at the PURBA 2015 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
purba2015@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
Licia Capra, University College London
Markus Rittenbruch, Queensland University of Technology
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, Massachusetts Institute of Technology
Stephan Sigg, TU Braunschweig, Germany
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 (1.1, 1.2)
10:30    Coffee break 1
11:00    Paper presentations (1.3, 2.1, 2.2, 2.3)
12:30    Lunch break
13:45    Paper presentations (3.1, 3.2, 3.3, 3.4, 4.1)
15:30    Coffee break 2
16:00    Keynote (Ryutaro Adachi, ZENRIN DataCom)
17:00    Best Paper Award + Closing remarks

The Best Paper Award goes to:
A Smartphone Based Method to Enhance Road PavementAnomaly Detection by Analyzing the Driver Behavior
By Fatjon Seraj, Kyle Zhang, Okan Turkes, Nirvana Meratnia, and Paul J. M. Havinga
University of Twente (The Netherlands)

(Paper presentations separated by topic)

1. Smartphone:::

1.1 Forager - Designing Location-Aware Applications for Informal Waste Recyclers in Brazil (David Lee; Dietmar Offenhuber; Lucia Helena Xavier; Carlo Ratti) Massachusetts Institute of Technology (USA), Northeastern University (USA), Joaquim Nabuco Foundation (Brazil) [pdf]

1.2 Location estimation of real-time passengers: Using train object from timetable information created with crowdsourcing and CDRs (Takuya Kanno; Hiroshi Kanasugi; Yoshihide Sekimoto; Ryosuke Shibasaki) The University of Tokyo (Japan) [pdf]

1.3 A Smartphone Based Method to Enhance Road PavementAnomaly Detection by Analyzing the Driver Behavior (Fatjon Seraj; Kyle Zhang; Okan Turkes; Nirvana Meratnia; Paul J. M. Havinga) University of Twente (The Netherlands) [pdf]

2. Social Media and Web data:::

2.1 Improving Accident Statistics: The Role of Social Media (Napong Wanichayapong; Monsak Socharoentum; Wasan Pattara-Atikom) National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) (Thailand) [pdf]

2.2 Tweet of the Town: A case study of Thailand (Kamolchanok Piriyawarangkul; Kittitat Rodphotong; Santi Phithakkitnukoon) Chiang Mai University (Thailand) [pdf]

2.3 EQviz: A Visualization Tool for Monitoring World Earthquakes (Nitchanan Prapaitrakul; Santi Phithakkitnukoon) Chiang Mai University (Thailand) [pdf]

3. Transportation:::

3.1 Crowdsourcing Biking Times (Mingsheng Wu; Lingzi Hong; Vanessa Frias-Martinez) University of Maryland (USA) [pdf]

3.2 Understanding the Social Practice of EV Workplace Charging (Eiman Elbanhawy; Blaine Price) The Open University (UK) [pdf]

3.3 Navigation Strategies in the Cityscape/Datascape (Annika Wolff; Paul Mulholland) The Open University (UK) [pdf]

3.4 A Tool for Exploratory Visualization of Bus Mobility and Ridership: A case study of Lisbon, Portugal (Chalermpong Somdulyawat; Piyawat Pongjitpak; Santi Phithakkitnukoon; Marco Veloso; Carlos Bento) Chiang Mai University (Thailand), University Coimbra (Portugal) [pdf]

4. Algorithm

4.1 Forecasting Algorithm Developed From the Neuro - Fuzzy System (Narissara Eiamkanitchat; Phichit Napook) Chiang Mai University (Thailand) [pdf]