PURBA-2018

PURBA 2011

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

PURBA 2015

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

PURBA 2012

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

PURBA 2016

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

PURBA 2013

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

PURBA 2017

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

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 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: 15 July 2018 (extended)
Paper notification: 10 Aug 2018
Camera-ready: 17 Aug 2018
Workshop: 12 October 2018

Submissions
We welcome regular paper (up to 9 pages) and short paper (up to 5 pages) contributions submitted as PDF files. The workshop accepts manuscripts in SIGCHI Extended Abstracts Format. The accepted papers will be published in the Ubicomp 2018 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 2018 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
purba2018@easychair.org

Organizers

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 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
Nokia Bell Labs

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

9:00 - 10:30   Introduction + Paper presentation 1: Urban mobiilty (papers 1.1 - 1.3)
10:30 - 11:00   Coffee break 1
11:00 - 12:00   Paper presentation 2: Urban mobility (papers 1.4 - 1.7)
12:00 - 13:30   Lunch break
13:30 - 15:00   Paper presentation 3: Urban space (papers 2.1 - 2.6)
15:00 - 15:30   Coffee break 2
15:30 - 16:30   Keynote talk: The Role of Individual & Aggregated Urban Mobility in Smart City Services
16:30 - 17:00   Best Paper Award (Paper 2.1) + Wrap-up

1. Urban mobility

1.1 Community structures, interactions and dynamics in London's bicycle sharing network (Fernando Munoz-Mendez:AECOM; Konstantin Klemmer:The University of Warwick; Ke Han:Imperial College London; Stephen Jarvis:The University of Warwick) [pdf]

1.2 Taxi Demand Forecast using Real-Time Population generated from Cellular Networks (Shin Ishiguro:NTT DOCOMO, INC.; Satoshi Kawasaki:NTT DOCOMO, INC.; Yusuke Fukazawa:NTT DOCOMO, INC.) [pdf]

1.3 Inferring Commuting Flows using CDR Data: A Case Study of Lisbon, Portugal (Thanisorn Jundee:Chiang Mai University; Chanadda Kunyadoi:Chiang Mai University; Anya Apavatjrut:Chiang Mai University; Santi Phithakkitnukoon:Chiang Mai University; Zbigniew Smoreda:Orange Labs) [pdf]

1.4 Vision-based Overhead Front Point Recognition of Vehicles for Traffic Safety Analysis (Byeongjoon Noh:Korea Advanced Institute of Science and Technology; Wonjun No:Korea Advanced Institute of Science and Technology; David Lee:Korea Advanced Institute of Science and Technology) [pdf]

1.5 A Knowledge Based Learning for Solving Vehicle Routing Problem (Thananut Phiboonbanakit:Thammasat University; Teerayut Horanont:Thammasat University; Thepchai Supnithi:Thammasat University; Nam Van Huynh:Japan Advanced Institute of Science and Technology) [pdf]

1.6 FogFly: A Traffic Light Optimization Solution based on Fog Computing (Chanh Tran:Ho Chi Minh City University of Technology; Quang Tran:Ho Chi Minh City University of Technology; Binh Nguyen:Ho Chi Minh City University of Technology; Triet Tran:Ho Chi Minh City University of Technology; Tuan Le:Ho Chi Minh City University of Technology; Rajesh Krishna Balan:Singapore Management University) [pdf]

1.7 Jerney: A Peer-to-Peer Shared Public Transit on Fixed Routes (Thirawat Khamsila:Chiang Mai University; Santi Phithakkitnukoon:Chiang Mai University) [pdf]

2. Urban space

2.1 Exploiting the Inter-dependency of Land Use and Mobility for Applications in Urban Planning (Kasthuri Jayarajah:Singapore Management University; Andrew Tan:Singapore Management University; Archan Misra:Singapore Management University) [pdf] Best Paper Award

2.2 Soundscape: Sensing and Visualizing Acoustic Landscape on Campus (Suphaloet Vongkunkij:Chiang Mai University; Kanit Kasitikasikum:Chiang Mai University; Santi Phithakkitnukoon:Chiang Mai University) [pdf]

2.3 Strolling Across the City. Geo-Tagged Sound Loops for Augmenting the Urban Spaces (Silvia Torsi:University of Bari; Carmelo Ardito:University of Bari) [pdf]

2.4 Eventity: Online Platform for City Event and Tourism Information (Jiraphat Kengphanich:Chiang Mai University; Janjira Buatip:Chiang Mai University; Santi Phithakkitnukoon:Chiang Mai University) [pdf]

2.5 Challenges of Drive-By IoT Sensing for Smart Cities: City Scanner Case Study (Amin Anjomshoaa:Massachussetts Institute of Technology; Simone Mora:Massachussetts Institute of Technology; Philipp Schmitt:The New School; Carlo Ratti:Massachussetts Institute of Technology) [pdf]

2.6 Energis: Interactive Visualization Tool for Resource Usage Monitoring on Campus (Patsamon Boonchai:Chiang Mai University; Pattarawit Jaiban:Chiang Mai University; Santi Phithakkitnukoon:Chiang Mai University; Navadon Khunlertgit:Chiang Mai University) [pdf]

Keynote Talk
by Professor Archan Misra, the Associate Dean of Research, the School of Information Systems at Singapore Management University (SMU)

The Role of Individual & Aggregated Urban Mobility in Smart City Services
This talk will describe how we utilize a combination of data from personal mobile devices, urban informatics portals, public social media and infrastructural sensors to usher in a new wave of “smart city” applications and services. First, I will highlight our work on mobile crowdsourcing, where we have ongoing national-level trials on using predicted movement patterns of city residents to support the concept of active citizenry. Under this concept, resident volunteers help monitor municipal resources, support community-centric services and can even help with last-mile logistics tasks. Next, as an exemplar of how urban mobility and social media data can be jointly used for urban planning, I shall describe our work on predicting the survivability of urban retail businesses and the economic vitality of city neighborhoods. Such data sets can also be used to offer micro-and-macro insights into urban events. As a final example, I will demonstrate how fusing personalized and aggregated analytics of commuting data can help support optimized allocation of last-mile transportation resources.