Time and day: 2:00pm-3:00pm, April 18 (Thur), 2019

Place: Seminar room of International Project Lab., Third floor, Engineering Building No.11, Hongo Campus, The University of Tokyo

(https://www.u-tokyo.ac.jp/content/400020145.pdf)

Presentation

– Title: Satiation in Travel-Based Multitasking: A Case Study from Mumbai, India

– Abstract:

Multitasking is an essential aspect of an individual’s overall activity participation and time allocation behavior, and travel is one of the few activities which provides the scope for natural multitasking. This study (1) analyzed the effect of parameters on multitasking choice which reflect the heterogeneity of urban settings in a developing country scenario, and (2) evaluated the existence of satiation and estimated it for different multitasking activities. A travel diary survey was conducted of 1,123 individuals residing in both formal and informal housing across the city of Mumbai, capturing information on their multitasking during travel behavior. A multiple discrete-continuous extreme value model was formulated testing the effect of parameters and estimating satiation in alternatives. Findings suggest that travel characteristics, individual and household socioeconomic characteristics, and access to information and communication technology (ICT) are important indicators affecting multitasking during travel. In addition, along with access to ICT, certain other socioeconomic characteristics such as gender, occupation type, and poor living conditions affected the participation in ICT-based multitasking activities, indicating the linkages between digital and social divide. Findings on satiation showed a glaring mismatch between participation and preference. Although the participation and time allocation in doing no activity were the highest, the levels of satiation were observed to be lower for sleeping/snoozing/resting activities and mos ICT-based multitasking alternatives. This indicated that if a suitable setting is provided, individuals prefer to participate in other activities rather than performing no activity.

Short bio of presenter

Varun Varghese is a Postdoctoral Researcher at the Infrastructure Planning and Urban Risk Management lab at Hiroshima University. He is currently working on the application of advanced machine learning techniques for transportation planning and management. He is a Civil Engineer and he finished his Ph.D. from the Centre for Urban Science and Engineering, Indian Institute of Technology Bombay, India. For his Ph.D. thesis, he worked on indentifying the interrelationships between ICT, travel behavior, and activity participation behavior in Mumbai, India.

Charge: free

Language: English only

Particiapation: Please contact Ms. Tomoko Samukawa (samukawa@ip.civil.t.u-tokyo.ac.jp) for joining this seminar, but you can join the seminar even without pre-registration.