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GreenCommute: an influence-aware persuasive recommendation approach for public-friendly commute options

journal contribution
posted on 2023-05-20, 17:23 authored by Wu, 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

Publisher

Elsevier Science Bv

Place of publication

Netherlands

Repository Status

  • Restricted

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