When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes
When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes
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当拥堵收费和收入返还计划中效率与公平相遇时
DOI:
10.1145/3465416.3483296
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Pavone, Marco
中科院分区:
文献类型:
--
作者:
Jalota, Devansh;Solovey, Kiril;Gopalakrishnan, Karthik;Zoepf, Stephen;Balakrishnan, Hamsa;Pavone, Marco
Congestion pricing has long been hailed as a means to mitigate traffic congestion; however, its practical adoption has been limited due to social inequity issues, e.g., low-income users are priced out off certain roads. This issue has spurred interest in the design of equitable mechanisms that refund the collected toll revenues to users. Although revenue refunding has been extensively studied, there has been no characterization of how such schemes can be designed to simultaneously achieve system efficiency and equity objectives.In this work, we bridge this gap through the study of congestion pricing and revenue refunding (CPRR) schemes in non-atomic congestion games. We first develop CPRR schemes, which in comparison to the untolled case, simultaneously (i) increase system efficiency and (ii) decrease wealth inequality, while being (iii) user-favorable: irrespective of their initial wealth or values-of-time (which may differ across users) users would experience a lower travel cost after the implementation of the proposed scheme. We then characterize the set of optimal user-favorable CPRR schemes that simultaneously maximize system efficiency and minimize wealth inequality. These results assume a well-studied behavior model of users minimizing a linear function of their travel times and tolls, without considering refunds. Overall, our work demonstrates that through appropriate refunding policies we can achieve system efficiency while reducing wealth inequality.
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DOI:
10.1287/ijoc.2023.1275
发表时间:
2023
期刊:
INFORMS J. Comput.
影响因子:
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作者:
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2013
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影响因子:
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DOI:
10.4230/lipics.stacs.2019.31
发表时间:
2019
期刊:
36th International Symposium on Theoretical Aspects of Computer Science
影响因子:
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作者:
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通讯作者:
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