In conjunction with UbiComp 2019

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Welcome to PURBA 2019

The 8th International Workshop on Pervasive Urban Applications

In conjunction with the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2019)

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 2018

The forth workshop on Pervasive Urban Applications (PURBA 2018) was held in conjunction with UbiComp 2018 in Singapore.

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.

icon PURBA 2017

The fifth workshop on Pervasive Urban Applications (PURBA 2017) was held in conjunction with UbiComp 2017 in Maui, Haii, USA.

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 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: 28 June 2019 (Extended)
Paper notification: 9 July 2019
Camera-ready: 17 July 2019
Workshop: 9 September 2019

We welcome regular paper (up to 12 pages) and short paper (up to 6 pages) contributions submitted as PDF files. The workshop accepts manuscripts in ACM SIGCHI Format. The accepted papers will be published in the Ubicomp 2019 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 2019 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]

Overleaf: [template]


Program Committee
Afra Mashhadi, Nokia Bell Labs
Carlos Bento, Universidade de Coimbra, Portugal
David Lee, KAIST, Korea
Ekaterina Gilman, University of Oulu, Finland
Elizabeth Daly, IBM Research
Enrique Frias-Martinez, Telefonica, Spain
Fahim Kawsar,
Nokia Bell Labs
Francesco Calabrese, Vodafone
Inon Peled, Technical University of Denmark

Marco Veloso, Universidade de Coimbra, Portugal
Markus Rittenbruch, Queensland University of Technology, Australia
Merkebe Demissie, University of Calgary, Canada
Mirco Musolesi, University College London
Petteri Nurmi, Helsinki Institute for Information Technology, Finland
Ronald Schroeter, Queensland University of Technology
, Australia
Shibasaki Ryosuke, University of Tokyo, Japan
Stanislav Sobolevsky, New York University
Stephan Sigg, Aalto University, Finland
Valentino Servizi, Technical University of Denmark
Vanessa Frías-Martínez, University of Maryland, USA
Zbigniew Smoreda, Orange Labs, France


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  • Santi Phithakkitnukoon
    Chiang Mai University

    Santi Phithakkitnukoon is an associate 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
    Samsung AI Center, Cambridge, UK

    Sourav Bhattacharya is a research scientist at Samsung AI Center, 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 - 10:30   Introduction + Paper presentation 1: Urban living (papers 1.1 - 1.2)
10:30 - 11:00   Coffee break 1
11:00 - 12:00   Paper presentation 2: Urban living (papers 1.3 - 1.6) 
12:00 - 13:30   Lunch break
13:30 - 15:00   Paper presentation 3: Urban mobility (papers 2.1 - 2.4)
15:00 - 15:30   Coffee break 2
15:30 - 16:30   Keynote talk
16:30 - 17:00   Best Paper Award + Wrap-up

Urban Living
1.1 Seamless Internet connectivity for ubiquitous communication. Ryo Yanagida (University of St Andrews) and Saleem Bhatti (University of St Andrews). [pdf]
1.2 iCoff: Towards Building an Intelligent Coffee Plate System to Enhance Coffee Shop’s Customer Experience. Thanakrit Jitapinyakul (Chiang Mai University), Panuwat Phunsuk (Chiang Mai University) and Santi Phithakkitnukoon (Chiang Mai University). [pdf]
1.3 Designing interactive interfaces by keeping the natural beauty of public places. Linda Hirsch (Ludwig-Maximilian University). [pdf]
1.4 Inferring the Character of Urban Commercial Areas from Age-biased Online Search Results. David Lee (Korea Advanced Institute of Science and Technology) and Seolha Lee (Seoul National University). [pdf]
1.5 Safe Street Rangers: Crowdsourcing Approach for Monitoring and Reportng Street Safety. Peerawit Naprae (Chiang Mai University), Panurat Sutigoolabud (Chiang Mai University) and Santi Phithakkitnukoon (Chiang Mai University). [pdf]
1.6 An IoT and Blockchain-based Approach for Ensuring Transparency and Accountability in Regulatory Compliance. Niaz Chowdhury (The Open University). [pdf]

Urban Mobility
2.1 Deep Learning Models for Population Flow Generation from Aggregated Mobility Data. Can Rong (Peking University), Jie Feng (Tsinghua University) and Yong Li (Tsinghua University). [pdf]
2.2 How to get in Touch with the Passenger: Context-Aware Choices of Output Modality in Smart Public Transport. Christine Keller (Hochschule Karlsruhe, University of Applied Sciences) and Thomas Schlegel (Hochschule Karlsruhe). [pdf]
2.3 A Vision-based Deep On-Device Intelligent Bus Stop Recognition System. Gautham Krishna Gudur (Ericsson), Ateendra Ramesh (SUNY at Buffalo) and Srinivasan R (SSN College of Engineering). [pdf]
2.4 Detecting Abnormal Behavior in the Transportation Planning using Long Short Term Memories and a Contextualized Dynamic Threshold. Thananut Phiboonbanakit (Sirindhorn International Institute of Technology), Van-Nam Huynh (Japan Advanced Institute of Science and Technology), Teerayut Horanont (Sirindhorn International Institute of Technology) and Thepchai Supnithi (National Science and Technology Development). [pdf]

Keynote Talk