Incentive mechanisms for societal networks : influencing behavior in transportation systems and organizational processes

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Abstract/Contents

Abstract
Societal Networks, which we use every day and are critical for the orderly functioning of society, include transportation networks, energy grids, waste management networks, etc. Due to increased population and demand, they are preforming quite poorly recently. Therefore, it is important to restore the supply-demand balance of these networks to improve their efficiency. In this thesis, we consider demand management by incentivizing people to change their consumption behaviors. Our focus is on transportation networks, where we encourage commuters to avoid traveling in the peak hour. Our main contributions are (a) the development of a system, consisting of a back-end database and a user-facing front-end, designed for implementing large-scale "nudge engines", and (b) an analysis of the efficacy of the nudge engine in influencing commuter behavior. We apply our nudge engine to reduce peak hour congestion in Singapore's Mass Rapid Transit (MRT) system by encouraging commuters to travel off-peak. This program, called Travel Smart Rewards (TSR), has been running for close to 5 years with over 340,000 commuters and 86 companies as corporate members. The key ingredients of our approach are: (I) random monetary incentives paid out through games of chance, (ii) social influence and (iii) personalized rewards. Next, we apply our nudge engine to another setting of corporate learning and launch the A-Way program. It is used in conjunction with the employee training program of Accenture to train its management consultants. We describe the system and analyze its efficacy in improving outcomes of their training program.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2016
Issuance monographic
Language English

Creators/Contributors

Associated with Jeong, Min-Wook
Associated with Stanford University, Department of Electrical Engineering.
Primary advisor Prabhakar, Balaji, 1967-
Thesis advisor Prabhakar, Balaji, 1967-
Thesis advisor Osgood, Brad
Thesis advisor Weissman, Tsachy
Advisor Osgood, Brad
Advisor Weissman, Tsachy

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Min-Wook Jeong.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis (Ph.D.)--Stanford University, 2016.
Location electronic resource

Access conditions

Copyright
© 2016 by Min-Wook Jeong
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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