Supply and Demand Management in Ride-Sourcing Markets offers a fundamental modeling framework for characterizing ride-sourcing markets by spelling out the complex relationships among key endogenous and exogenous variables in the markets. This book establishes several economic models that can approximate matching frictions between drivers and passengers, describes the equilibrium state of ride-sourcing markets, and more. Based on these models, the book develops an optimum strategy (in terms of trip fare, wage and/or matching) that maximizes platform profit. While the best social optimum solution (for maximizing the social welfare) is generally unsustainable, this book provides options governments can use to encourage second-best solutions.
In addition, the book's authors establish models to analyze ride-pooling services, with traffic congestion externalities incorporated into models to see how both new platforms and government designs can optimize operating strategies in response to the level of traffic congestion.
1. Chapter 1 Introduction of ride-sourcing markets - p. 1 2. Chapter 2 Fundamentals of ride-sourcing market equilibrium analyses - p. 25 3. 2.1: Introduction - p. 25 4. 2.2: Matching frictions (inductive approaches) - p. 27 5. 2.3: Matching frictions (deductive approaches) - p. 31 6. 2.4: Market measures - p. 39 7. 2.5: Discussion - p. 50 8. Glossary of notation - p. 52 9. References - p. 53 10. Chapter 3 Calibration and validation of matching functions for ride-sourcing markets - p. 55 11. Chapter 4 Government regulations for ride-sourcing services - p. 87 12. Chapter 5 Equilibrium analysis for ride-pooling services - p. 107 13. Chapter 6 Ride-pooling services and traffic congestion - p. 133 14. Chapter 7 Equilibrium analysis for ride-pooling services in the presence of traffic congestion - p. 147 15. Chapter 8 Revisiting government regulations for ride-sourcing services under traffic congestion - p. 167 16. Chapter 9 Third-party platform integration in ride-sourcing markets - p. 191 17. 9.1: Background - p. 191 18. 9.2: Market equilibrium and optimal strategies - p. 194 19. 9.3: Evaluation of the performance of platform integration - p. 207 20. 9.4: Numerical studies - p. 210 21. 9.5: Conclusion - p. 219 22. Appendix 9.A. Proof of Lemma 9-1 - p. 220 23. Appendix 9.B. Proof of theorem 9-1 - p. 221 24. Appendix 9.C. Proof of Lemma 9-2 - p. 222 25. Appendix 9.D. Proof of theorem 9-2 - p. 223 26. Appendix 9.E. Proof of Lemma 9-3 - p. 224 27. Appendix 9.F. Proof of Lemma 9-4 - p. 227 28. Appendix 9.G. Proof of theorem 9-3 - p. 229 29. Appendix 9.H. Proof of Lemma 9-5 - p. 231 30. Appendix 9.I. Proof of theorem 9-4 - p. 233 31. Appendix 9.J. General matching function - p. 233 32. References - p. 237 33. Chapter 10 Ride-sourcing services and public transit - p. 239 34. Chapter 11 Optimization of matching-time interval and matching radius in ride-sourcing markets - p. 261 35. Chapter 12 Labour supply analysis of ride-sourcing services - p. 283 36. Chapter 13 Some empirical laws of ride-pooling services - p. 323 37. 13.1: Introduction - p. 323 38. 13.2: Literature review - p. 326 39. 13.3: Optimisation framework and data descriptions - p. 328 40. 13.4: Empirical laws - p. 336 41. 13.5: Conclusions - p. 349 42. Appendices - p. 350 43. Glossary of notation - p. 369 44. References - p. 369 45. Chapter 14 Summary - p. 373 46. Index - p. 379
Supply and Demand Management in Ride-Sourcing Markets offers a fundamental modeling framework for characterizing ride-sourcing markets by spelling out the complex relationships among key endogenous and exogenous variables in the markets. This book establishes several economic models that can approximate matching frictions between drivers and passengers, describes the equilibrium state of ride-sourcing markets, and more. Based on these models, the book develops an optimum strategy (in terms of trip fare, wage and/or matching) that maximizes platform profit. While the best social optimum solution (for maximizing the social welfare) is generally unsustainable, this book provides options governments can use to encourage second-best solutions.
In addition, the book's authors establish models to analyze ride-pooling services, with traffic congestion externalities incorporated into models to see how both new platforms and government designs can optimize operating strategies in response to the level of traffic congestion.
1. Chapter 1 Introduction of ride-sourcing markets - p. 1 2. Chapter 2 Fundamentals of ride-sourcing market equilibrium analyses - p. 25 3. 2.1: Introduction - p. 25 4. 2.2: Matching frictions (inductive approaches) - p. 27 5. 2.3: Matching frictions (deductive approaches) - p. 31 6. 2.4: Market measures - p. 39 7. 2.5: Discussion - p. 50 8. Glossary of notation - p. 52 9. References - p. 53 10. Chapter 3 Calibration and validation of matching functions for ride-sourcing markets - p. 55 11. Chapter 4 Government regulations for ride-sourcing services - p. 87 12. Chapter 5 Equilibrium analysis for ride-pooling services - p. 107 13. Chapter 6 Ride-pooling services and traffic congestion - p. 133 14. Chapter 7 Equilibrium analysis for ride-pooling services in the presence of traffic congestion - p. 147 15. Chapter 8 Revisiting government regulations for ride-sourcing services under traffic congestion - p. 167 16. Chapter 9 Third-party platform integration in ride-sourcing markets - p. 191 17. 9.1: Background - p. 191 18. 9.2: Market equilibrium and optimal strategies - p. 194 19. 9.3: Evaluation of the performance of platform integration - p. 207 20. 9.4: Numerical studies - p. 210 21. 9.5: Conclusion - p. 219 22. Appendix 9.A. Proof of Lemma 9-1 - p. 220 23. Appendix 9.B. Proof of theorem 9-1 - p. 221 24. Appendix 9.C. Proof of Lemma 9-2 - p. 222 25. Appendix 9.D. Proof of theorem 9-2 - p. 223 26. Appendix 9.E. Proof of Lemma 9-3 - p. 224 27. Appendix 9.F. Proof of Lemma 9-4 - p. 227 28. Appendix 9.G. Proof of theorem 9-3 - p. 229 29. Appendix 9.H. Proof of Lemma 9-5 - p. 231 30. Appendix 9.I. Proof of theorem 9-4 - p. 233 31. Appendix 9.J. General matching function - p. 233 32. References - p. 237 33. Chapter 10 Ride-sourcing services and public transit - p. 239 34. Chapter 11 Optimization of matching-time interval and matching radius in ride-sourcing markets - p. 261 35. Chapter 12 Labour supply analysis of ride-sourcing services - p. 283 36. Chapter 13 Some empirical laws of ride-pooling services - p. 323 37. 13.1: Introduction - p. 323 38. 13.2: Literature review - p. 326 39. 13.3: Optimisation framework and data descriptions - p. 328 40. 13.4: Empirical laws - p. 336 41. 13.5: Conclusions - p. 349 42. Appendices - p. 350 43. Glossary of notation - p. 369 44. References - p. 369 45. Chapter 14 Summary - p. 373 46. Index - p. 379
