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Wealth inequality and the price of anarchy

Kurtuluş Gemici

National University of Singapore

Elias Koutsoupias

University of Oxford

Christos Papadimitriou

Columbia University

Barnabé Monnot

Singapore University of Technology and Design

Georgios Piliouras

Singapore University of Technology and Design

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Pricing induces optimal flow, PoA = 1 in Pigou

Equilibrium: stable, but inefficient

Optimum: unstable, but efficient

Cost =�latency + price

Price

For heterogeneous agents x

Cost = type(x) * latency + price

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Impact of game on income

  • [Börjesson et al., 2012] Travel time / travel price elasticity equal to income.

Latency: time

Money

Price: money

(

)

  • Players have income q(x), play a routing game, income is now q

^

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Optimal toll induces highest inequality!

Gini

Toll

Toll

0.25

0.25

  • Pigou, q(x) = x, ℓ(x) = x

Latency

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Inequality in symmetric routing games

Inequality (Gini) increases always in symmetric congestion games.��For��we have

Inequity theorem

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Routing in Singapore

  • Data collected by providing sensors to students in Singapore.�Records location during morning commute. (+ environmental factors)

(Figure by F. Benita)

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Routing in Singapore

  • Rental price dataset mapped with subjects’ home location.�(Rental price ~ income)�
  • Latency correlates negatively with rental price.

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Routing in Singapore

  • With the precision of the sensors and associated algorithms, we can unpack further.

  • Pricier options correlate positively with rental price.

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Many open questions!!

  • Effect a tradeoff between efficiency and inequality.

Efficient algorithm to find tolls doing so.�

  • Redistribute income.

  • Network design, using money raised from tolls to improve network links.

Done in practice, now and in the future.