Revisiting government regulations for ride-sourcing services under traffic congestion

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, we use an equilibrium model to investigate the effects of various government regulations on ride-sourcing platforms. This extends the approach developed in Chapter 4 to enable investigation of the effects of government regulations on ride-sourcing platforms in a more general market scenario and in the presence of traffic congestion. We explore whether government regulations can induce a ride-sourcing platform to target a predetermined Pareto-efficient strategy, that is, a strategy on the Pareto-efficient frontier, along which a platform's profit cannot be increased without decreasing social welfare and vice versa. We thereby identify regulatory schemes that can motivate ride-sourcing platforms to choose Pareto-efficient operating strategies that create a win–win situation for platforms and society. We also examine how the level of traffic congestion influences the effects of various government regulations on ride-sourcing markets.

Original languageEnglish
Title of host publicationSupply and Demand Management in Ride-Sourcing Markets
PublisherElsevier
Pages167-190
Number of pages24
ISBN (Electronic)9780443189371
ISBN (Print)9780443189388
DOIs
StatePublished - 1 Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Commission regulation
  • Demand regulation
  • Drivers' income regulation
  • Fleet size control
  • Government regulations
  • Minimum wage guarantee
  • Pareto-efficient frontier
  • Price-cap regulation
  • Traffic congestion
  • Utilisation rate regulation

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