Project:

Development of Methods and System for Detecting and Monitoring Travel Behavior and Greenhouse Gas Emissions from Wi-Fi Signaling Data

Role:

Principal investigator

Project:

AI2Decarb: AI–supported tool development for decarbonized food system

Role:

Partners:

Principal investigator (Thailand Team Lead)

Dr Eri Amasawa, The University of Tokyo, Japan

Prof Zainal Arifin Hasibuan, University of Dian Nuswantoro, Indonesia

Project:

Trip Distribution Modeling using Mobile Phone Network Data

Role:

Principal investigator

Project:

Development of Thailand Tourism Database and Management System

Role:

Principal investigator

Project:

Understanding the Role of Social Influence on Travel Behavior using Large-scale Mobile Sensing Approach

Role:

Principal investigator

Project:

Study of Social Influence on Human Mobility and Sociality Using Large-scale Mobile Sensing Approach

Role:

Principal investigator

Project:

Mobile Sensing-based Tourist Behavior Analysis

Host:

Institute of Industrial Science, University of Tokyo

Role:

Principal investigator / JSPS Fellow

Large-scale mobile phone data (CDR) that includes both communication logs and location traces is used to infer travel demands for public transportation development.

Publications: IEEE ITS (2016), EPJ Data Science (2017), IEEE ITS (2018), IEEE Access (2019), IJGI (2020)

Team: Santi Phithakkitnukoon, Merkebe Demissie, Titipat Sukhvibul, Francisco Antunes, Rui Gomes, Zbigniew Smoreda, Juggapong Natwichai, Carlos Bento

Large-scale opportunistic mobile sensing approach is used in analyzing tourist behavior such as number of trips made, time spent at destinations, and mode of transportation used. The study was based on analysis of mobile phone users in Japan.

Publications: Elsevier PMC (2014) 

Team: Santi Phithakkitnukoon, Teerayut Horonont, Apichon Witayangkurn, Raktida Siri, Yoshihide Sekimoto, Ryosuke Shibasaki

This project investigates on how the weather influences people's everyday activity patterns, based on analysis of weather information and massive GPS location data of mobile users in Japan.

Publications: PLOS ONE (2013) 

Team: Santi Phithakkitnukoon, Teerayut Horonont, Tuck W Leong, Yoshihide Sekimoto, Ryosuke Shibasaki

The work aims to analyze the collective behaviors of public transport users in order to design a more efficient and sustainable transport system.

Publications: PURBA-2013(1), PURBA-2013(2), ITSC (2014)

Visualizations: Bus ridership, Bus mobility

Team: Santi Phithakkitnukoon, Gerd Kortuem, Stefan Foell, Reza Rawassizadeh, Marco Veloso, Carlos Bento

Effect of weather on social interactions is explored through analysis of large-scale mobile phone data.

Publications: PLoS ONE (2012)

Press: Newcastle University Press, Yahoo! News, Phys.org, The Journal, Irish Examiner, Scotsman, The Times of India, Live Science, CBS News

Team: Santi Phithakkitnukoon, Tuck W Leong, Zbigniew Smoreda, Patrick Olivier

A relationship between people s mobility and their social networks is discovered based on an analysis of calling and mobility traces of mobile phone users.

Publications: PLoS ONE (2012)

Press: Newcastle University Press, Yahoo! News, Phys.org, The Journal, Irish Examiner, Scotsman, The Times of India, Live Science, CBS News

Team: Santi Phithakkitnukoon, Zbigniew Smoreda, Patrick Olivier

The project aims to develop an automatic performance assessment for sport climbers using pervasive technologies.

Team: Cas Ladha, Nils Hammerla, Santi Phithakkitnukoon

The project investigates waste processing in an environmental, economic, and geographic context, using pervasive technologies to track municipal solid waste in the city of Seattle, Washington, USA.

Publications: JAPA (2012), IEEE Pervasive Computing (2013)

Team: Dietmar Offenhuber, Santi Phithakkitnukoon, Malima I Wolf, David Lee, Assaf Biderman, Carlo Ratti

The project aims to develop a knowledge infrastructure, computational models, and user applications that allow access to real-time information about the state of transportation-related resources as well as predictions regarding their future state.

Publications: AmI (2010), PURBA (2011), TDMA (2011), LBSN (2011), ITCS (2012), PURBA (2013)

Team: Santi Phithakkitnukoon, Marco Veloso, Carlos Bento, Assaf Biderman, Carlo Ratti

The project investigates how residential migration influences the dynamics of social networks using large-scale mobile phone data.

Publications: SocialCom (2011)

Team: Santi Phithakkitnukoon, Francesco Calabrese, Zbigniew Smoreada, Carlo Ratti

The project aims to develop a map that describes activity that people mostly likely to be engaged in different areas of the city. This in turn allows characterization of individual daily activity patterns and analysis of correlations in activity patterns among different area profiles.

Publications: HBU (2010)

Team: Santi Phithakkitnukoon, Teerayut Horonont, Giusy Di Lorenzo, Ryosuke Shibasaki, Carlo Ratti

This carries out a study of inhabitant flow using a large mobile phone data that reveals the asymmetry in the flows, which reflects the way that people travel daily.

Publications: JAIT (2011)

Team: Santi Phithakkitnukoon, Carlo Ratti

The project aims to develop a navigation system that mimics the friendly expertise of a driving companion who is familiar with both the driver and the city.

Publications: Ubicomp Workshop (2010)

Team: Giusy Di Lorenzo, Santi Phithakkitnukoon, Charles Lee, Assaf Biderman, Carlo Ratti

The project aims to develop a context-aware mobile phone system that predicts incoming and outgoing calls, as well as recognizes social relationships and situational context of the user.
Publications:  MMNS (2007), COMSWARE (2008), SNA-KDD (2008), COMBEK (2008), MONET (2008), AI&Society (2009), IJPCC (2010), MC2R (2011), ACM TAAS (2011)

Team: Santi Phithakkitnukoon, Husain Husna, Enkh-Amgalan Baatarjav, Ram Dantu