In conjunction with UbiComp 2017

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Welcome to PURBA 2017

The 6th International Workshop on Pervasive Urban Applications

In conjunction with the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017)

icon PURBA 2011

The first workshop on Pervasive Urban Applications (PURBA 2011) was held in conjunction with PERVASIVE 2011 in San Francisco, USA.

icon PURBA 2015

The forth workshop on Pervasive Urban Applications (PURBA 2015) was held in conjunction with UbiComp 2015 in Osaka, Japan.

icon PURBA 2012

The second workshop on Pervasive Urban Applications (PURBA 2012) was held in conjunction with PERVASIVE 2012 in Newcastle upon Tyne, UK.

icon PURBA 2016

The fifth workshop on Pervasive Urban Applications (PURBA 2016) was held in conjunction with UbiComp 2016 in Heidelberg, Germany.

icon PURBA 2013

The third workshop on Pervasive Urban Applications (PURBA 2013) was held in conjunction with UbiComp 2013 in Zurich, Switzerland.

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.


This workshop is the sixth in this series building upon the successful previous five PURBA 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-2017 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: 9 June 2017 (Extended)
Paper notification: 30 June 2016
Camera-ready: 7 July 2016
Workshop: 11 September 2016

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 2017 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 2017 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]


Program Committee
Afra Mashhadi, Nokia Bell Labs
Carlos Bento, Universidade de Coimbra, Portugal
Elizabeth Daly, IBM Research
Enrique Frias-Martinez, Telefonica
Fahim Kawsar,
Nokia Bell Labs
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
Nic Lane, Nokia Bell Labs, University College London
Petteri Nurmi, Helsinki Institute for Information Technology
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
Zbigniew Smoreda, Orange Labs


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  • 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

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  • 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

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  • Sourav Bhattacharya
    Nokia Bell Labs

    Sourav Bhattacharya is a research scientist at Nokia Bell Labs Cambridge, United Kingdom. Contact Sourav at

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  • 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

  9:00 - 10:00   Introduction + Paper presentations: Transport (1.1, 1.2)
10:00 - 10:30   Coffee break 1
10:30 - 12:00   Paper presentations: Urban living (2.1, 2.2, 2.3)
12:00 - 13:30   Lunch break
13:30 - 15:00   Paper presentations: Crowdsensing (3.1, 3.2, 3.3, 3.4)
15:00 - 15:30   Coffee break 2
15:30 - 16:30   Keynote: Urban Analytics through the Lens of Crowdsourced Data (Prof. Cecilia Mascolo, University of Cambridge, UK)
16:30 - 17:00   Best Paper Award + Wrap-up

1. Transport:

1.1 Predicting Taxi Pickups in Cities: Which Data Sources Should We Use? (Austin Smith:University of New Hampshire; Andrew Kun:University of New Hampshire; John Krumm:Microsoft Research) [pdf]

1.3 GTFS-Viz: Tool for Preprocessing and Visualizing GTFS Data (Mudtana Worapun:Chiang Mai University; Narumon Kunama:Chiang Mai University; Santi Phithakkitnukoon:Chiang Mai University; Merkebe Demissie:University of Calgary) [pdf]

2. Urban living:

2.1 Smart Urban Planning using Big Data Analytics based Internet of Things (Muhammad Babar:National University of Sciences and Technology; Fahim Arif:National University of Sciences and Technology) [pdf]     

2.2 TweetCount: Urban Insights by Counting Tweets (John Krumm:Microsoft Research; Andrew Kun:University of New Hampshire; Petra Varsanyi:University of New Hampshire) [pdf]

2.3 TripRec: Trip Plan Recommendation System that Enhances Hotel Services (Nonnadda Silamai:Chiang Mai University; Narongchai Khamchuen:Chiang Mai University; Santi Phithakkitnukoon:Chiang Mai University) [pdf

3. Crowdsensing

3.1 How does coffee shop get crowded?: Using WiFi footprints to deliver insights into the success of promotion (Pichaya Prasertsung:Sirindhorn International Institute of Technology; Teerayut Horanont:Sirindhorn International Institute of Technology) [pdf]
3.2 Mining Crowd Mobility and WiFi Hotspots on a Densely-populated Campus (Mengyu Zhou:Tsinghua University; Kaixin Sui:Tsinghua University; Dan Pei:Tsinghua University; Thomas Moscibroda:Microsoft Research) [pdf]

3.3 Lessons Learned Using Wi-Fi and Bluetooth as Means to Monitor Public Service Usage (Lu Bai:University of Sheffield;Neil Ireson:University of Sheffield;Suvodeep Mazumdar:University of Sheffield;Fabio Ciravegna:University of Sheffield) [pdf]

3.4 Wi-Crowd: Sensing and Visualizing Crowd on Campus using Wi-Fi Access Point Data (Adiporl Binthaisong:Chiang Mai University;Jaruwan Srichan:Chiang Mai University;Santi Phithakkitnukoon:Chiang Mai University) [pdf]

Keynote Speaker
  • Prof. Cecilia Mascolo

    Professor of Mobile Systems
    Fellow of Jesus College
    Univeristy of Cambridge, United Kingdom