GreenCommute: an influence-aware persuasive recommendation approach for public-friendly commute options
journal contribution
posted on 2023-05-20, 17:23authored byWu, S, Quan BaiQuan Bai, Sengvong, S
Negative impacts produced by transportation sector have increased in parallel with the increase of urban mobility. In this paper, we introduce GreenCommute, a novel recommendation system which can facilitate commuters to take public friendly commute options, while provide support to alleviate the external cost in society, such as traffic pollution, congestion and accidents. In the meanwhile, a rewarding mechanism for persuading commuters is embedded in the proposed approach for balancing the conflict between personal needs and social aims. The allocation of reward values also takes users’ influential degrees in the social network into consideration. Experimental results show that the GreenCommute can promote public friendly commute options more effectively in comparison to the traditional recommendation system.
History
Publication title
Journal of Systems Science and Systems Engineering
Volume
27
Pagination
250-264
ISSN
1004-3756
Department/School
School of Information and Communication Technology