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Tradable credit schemes with peer-to-peer trading mechanisms

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Tradable credit schemes with peer-to-peer trading mechanisms. / Liu, R.; Wang, D.Z.W.; Jiang, Y. et al.
In: Transportation Research Part C: Emerging Technologies, Vol. 160, 104532, 31.03.2024.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Liu, R, Wang, DZW, Jiang, Y, Seshadri, R & Azevedo, CL 2024, 'Tradable credit schemes with peer-to-peer trading mechanisms', Transportation Research Part C: Emerging Technologies, vol. 160, 104532. https://doi.org/10.1016/j.trc.2024.104532

APA

Liu, R., Wang, D. Z. W., Jiang, Y., Seshadri, R., & Azevedo, C. L. (2024). Tradable credit schemes with peer-to-peer trading mechanisms. Transportation Research Part C: Emerging Technologies, 160, Article 104532. https://doi.org/10.1016/j.trc.2024.104532

Vancouver

Liu R, Wang DZW, Jiang Y, Seshadri R, Azevedo CL. Tradable credit schemes with peer-to-peer trading mechanisms. Transportation Research Part C: Emerging Technologies. 2024 Mar 31;160:104532. Epub 2024 Feb 23. doi: 10.1016/j.trc.2024.104532

Author

Liu, R. ; Wang, D.Z.W. ; Jiang, Y. et al. / Tradable credit schemes with peer-to-peer trading mechanisms. In: Transportation Research Part C: Emerging Technologies. 2024 ; Vol. 160.

Bibtex

@article{c0a7befd63984289b326f7e54122b2bd,
title = "Tradable credit schemes with peer-to-peer trading mechanisms",
abstract = "Tradable credit schemes (TCS) have been receiving increasing attention as an alternative to congestion pricing due to considerations of equity and revenue neutrality. Although it is typically assumed that credit transactions occur between travelers directly, i.e., via peer-to-peer (P2P) trading, the underlying mechanism that achieves market clearing (in terms of matching of sellers and buyers and pricing of credits) has not been studied in sufficient detail. This study extends the current literature on TCS by proposing two types of P2P trading paradigms that define the rules of matching selling and buying orders, market price adjustment, and the individual bidding format. Together with a peer-to-regulator (P2R) design, all trading paradigms are tested in the context of the morning commute problem under a given distance-based time-of-day credit tariff scheme. Numerical results demonstrate that the proposed P2P trading paradigms – in the absence of transaction costs – lead to a near identical equilibrium in terms of social welfare gains, departure flows, and credit price as that obtained from P2R schemes. Further, the P2P trading mechanisms ensure budget neutrality of credits as well as revenue neutrality of the regulator during the day-to-day process.",
keywords = "Tradable credit scheme, Peer-to-peer market, Demand management, Day-to-day dynamics",
author = "R. Liu and D.Z.W. Wang and Y. Jiang and R. Seshadri and C.L. Azevedo",
year = "2024",
month = mar,
day = "31",
doi = "10.1016/j.trc.2024.104532",
language = "English",
volume = "160",
journal = "Transportation Research Part C: Emerging Technologies",
issn = "0968-090X",
publisher = "PERGAMON-ELSEVIER SCIENCE LTD",

}

RIS

TY - JOUR

T1 - Tradable credit schemes with peer-to-peer trading mechanisms

AU - Liu, R.

AU - Wang, D.Z.W.

AU - Jiang, Y.

AU - Seshadri, R.

AU - Azevedo, C.L.

PY - 2024/3/31

Y1 - 2024/3/31

N2 - Tradable credit schemes (TCS) have been receiving increasing attention as an alternative to congestion pricing due to considerations of equity and revenue neutrality. Although it is typically assumed that credit transactions occur between travelers directly, i.e., via peer-to-peer (P2P) trading, the underlying mechanism that achieves market clearing (in terms of matching of sellers and buyers and pricing of credits) has not been studied in sufficient detail. This study extends the current literature on TCS by proposing two types of P2P trading paradigms that define the rules of matching selling and buying orders, market price adjustment, and the individual bidding format. Together with a peer-to-regulator (P2R) design, all trading paradigms are tested in the context of the morning commute problem under a given distance-based time-of-day credit tariff scheme. Numerical results demonstrate that the proposed P2P trading paradigms – in the absence of transaction costs – lead to a near identical equilibrium in terms of social welfare gains, departure flows, and credit price as that obtained from P2R schemes. Further, the P2P trading mechanisms ensure budget neutrality of credits as well as revenue neutrality of the regulator during the day-to-day process.

AB - Tradable credit schemes (TCS) have been receiving increasing attention as an alternative to congestion pricing due to considerations of equity and revenue neutrality. Although it is typically assumed that credit transactions occur between travelers directly, i.e., via peer-to-peer (P2P) trading, the underlying mechanism that achieves market clearing (in terms of matching of sellers and buyers and pricing of credits) has not been studied in sufficient detail. This study extends the current literature on TCS by proposing two types of P2P trading paradigms that define the rules of matching selling and buying orders, market price adjustment, and the individual bidding format. Together with a peer-to-regulator (P2R) design, all trading paradigms are tested in the context of the morning commute problem under a given distance-based time-of-day credit tariff scheme. Numerical results demonstrate that the proposed P2P trading paradigms – in the absence of transaction costs – lead to a near identical equilibrium in terms of social welfare gains, departure flows, and credit price as that obtained from P2R schemes. Further, the P2P trading mechanisms ensure budget neutrality of credits as well as revenue neutrality of the regulator during the day-to-day process.

KW - Tradable credit scheme

KW - Peer-to-peer market

KW - Demand management

KW - Day-to-day dynamics

U2 - 10.1016/j.trc.2024.104532

DO - 10.1016/j.trc.2024.104532

M3 - Journal article

VL - 160

JO - Transportation Research Part C: Emerging Technologies

JF - Transportation Research Part C: Emerging Technologies

SN - 0968-090X

M1 - 104532

ER -