Evolution of labour supply in ridesourcing

References

• Angrist, Joshua D., Sydnee Caldwell, and Jonathan V. Hall. 2017. Uber vs. Taxi: A Driver's Eye View. Technical Report. National Bureau of Economic Research.
   Google Scholar
• Arentze, Theo A., and Harry J. P. Timmermans. 2004. “A Learning-based Transportation Oriented Simulation System.” Transportation Research Part B: Methodological 38 (7): 613–633.
   Web of Science ®Google Scholar
• Ashkrof, Peyman, Gonçalo Homem de Almeida Correia, Oded Cats, and Bart van Arem. 2020. “Understanding Ride-sourcing Drivers' Behaviour and Preferences: Insights From Focus Groups Analysis.” Research in Transportation Business & Management 37: 100516.
   Google Scholar
• Bai, Jiaru, Kut C. So, Christopher S. Tang, Xiqun Chen, and Hai Wang. 2019. “Coordinating Supply and Demand on An On-Demand Service Platform with Impatient Customers.” Manufacturing & Service Operations Management 21 (3): 556–570.
   Web of Science ®Google Scholar
• Banerjee, Siddhartha, Ramesh Johari, and Carlos Riquelme. 2015. “Pricing in Ride-Sharing Platforms: A Queueing-Theoretic Approach.” In Proceedings of the Sixteenth ACM Conference on Economics and Computation, 639–639.
   Google Scholar
• Baron, David P. 2018. “Disruptive Entrepreneurship and Dual Purpose Strategies: The Case of Uber.” Strategy Science 3 (2): 439–462.
   Web of Science ®Google Scholar
• Beojone, Caio Vitor, and Nikolas Geroliminis. 2021. “On the Inefficiency of Ride-sourcing Services Towards Urban Congestion.” Transportation Research Part C: Emerging Technologies 124: 102890.
   Web of Science ®Google Scholar
• Bimpikis, Kostas, Ozan Candogan, and Daniela Saban. 2019. “Spatial Pricing in Ride-sharing Networks.” Operations Research 67 (3): 744–769.
   Web of Science ®Google Scholar
• Bischoff, Joschka, and Michał Maciejewski. 2016. “Autonomous Taxicabs in Berlin – a Spatiotemporal Analysis of Service Performance.” Transportation Research Procedia 19 (4): 176–186.
   Google Scholar
• Bogers, Enide A. I., Michel Bierlaire, and Serge P. Hoogendoorn. 2007. “Modeling Learning in Route Choice.” Transportation Research Record 2014 (1): 1–8.
   Web of Science ®Google Scholar
• Bokányi, Eszter, and Anikó Hannák. 2020. “Understanding Inequalities in Ride-hailing Services Through Simulations.” Scientific Reports 10 (1): 1–11.
   PubMed Web of Science ®Google Scholar
• Burghout, Wilco. 2004. “A Note on the Number of Replication Runs in Stochastic Traffic Simulation Models.” Unpublished report, Stockholm: Centre for Traffic Research.
   Google Scholar
• Cachon, Gerard P., Kaitlin M. Daniels, and Ruben Lobel. 2017. “The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity.” Manufacturing & Service Operations Management 19 (3): 368–384.
   Web of Science ®Google Scholar
• Chen, M. Keith, and Michael Sheldon. 2016. “Dynamic Pricing in a Labor Market: Surge Pricing and Flexible Work on the Uber Platform.” Ec 10.455 (1145): 2940716–2940798.
   Google Scholar
• Clewlow, Regina R., and Gouri S. Mishra. 2017. Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States. Technical Report. Institute of Transportation Services, University of California, Davis. Research Report UCD-ITS-RR-17-07.
   Google Scholar
• Djavadian, Shadi, and Joseph Y. J. Chow. 2017. “An Agent-based Day-to-day Adjustment Process for Modeling ‘Mobility As a Service’ with a Two-sided Flexible Transport Market.” Transportation Research Part B: Methodological 104 (2): 36–57.
   Google Scholar
• Dong, Tingting, Zhengtian Xu, Qi Luo, Yafeng Yin, Jian Wang, and Jieping Ye. 2021. “Optimal Contract Design for Ride-sourcing Services Under Dual Sourcing.” Transportation Research Part B: Methodological 146 (3): 289–313.
   Google Scholar
• Ebbinghaus, Hermann. 2013. “Memory: A Contribution to Experimental Psychology.” Annals of Neurosciences 20 (4): 155.
   PubMedGoogle Scholar
• Farrell, Diana, and Fiona Greig. 2017. “The Online Platform Economy: Has Growth Peaked?” Available at SSRN 2911194.
   Google Scholar
• Franz, Wolfgang. 1980. The Reservation Wage of Unemployed Persons in the Federal Republic of Germany: Theory and Empirical Tests. Technical Report. National Bureau of Economic Research.
   Google Scholar
• Gemeente Amsterdam. 2019. Agenda Taxi 2020–2025. Technical Report. Verkeer en Openbare Ruimte, Gemeente Amsterdam.
   Google Scholar
• Gong, Jing, Brad N. Greenwood, and Yiping Amy Song. 2017. “Uber Might Buy Me a Mercedes Benz: An Empirical Investigation of the Sharing Economy and Durable Goods Purchase.” Social Science Research Network Available at SSRN: 2971072.
   Google Scholar
• Government of the Netherlands. 2020. “Amount of the Minimum Wage.” Accessed 2020-02-04. https://www.government.nl/topics/minimum-wage/amount-of-the-minimum-wage.
   Google Scholar
• Hall, Jonathan V., and Alan B. Krueger. 2018. “An Analysis of the Labor Market for Uber's Driver-partners in the United States.” ILR Review 71 (3): 705–732.
   Web of Science ®Google Scholar
• Henao, Alejandro, and Wesley E. Marshall. 2019. “An Analysis of the Individual Economics of Ride-hailing Drivers.” Transportation Research Part A: Policy and Practice 130 (3): 440–451.
   Google Scholar
• Jin, Scarlett T., Hui Kong, Rachel Wu, and Daniel Z. Sui. 2018. “Ridesourcing, the Sharing Economy, and the Future of Cities.” Cities (London, England) 76: 96–104.
   Web of Science ®Google Scholar
• Kaddoura, Ihab. 2015. “Marginal Congestion Cost Pricing in a Multi-Agent Simulation Investigation of the Greater Berlin Area.” Journal of Transport Economics and Policy (JTEP) 49 (4): 560–578.
   Google Scholar
• Ke, Jintao, Hai Yang, and Zhengfei Zheng. 2020. “On Ride-pooling and Traffic Congestion.” Transportation Research Part B: Methodological 142 (9): 213–231.
   Google Scholar
• Ke, Jintao, Zheng Zhu, Hai Yang, and Qiaochu He. 2021. “Equilibrium Analyses and Operational Designs of a Coupled Market with Substitutive and Complementary Ride-sourcing Services to Public Transits.” Transportation Research Part E: Logistics and Transportation Review 148 (3): 102236.
   Google Scholar
• Keith Chen, M., Judith A. Chevalier, Peter E. Rossi, and Emily Oehlsen. 2019. “The Value of Flexible Work: Evidence From Uber Drivers.” Journal of Political Economy 127 (6): 2735–2794. https://www.journals.uchicago.edu/doi/10 .1086/702171.
   Web of Science ®Google Scholar
• Kucharski, Rafal, and Oded Cats. 2020. “MaaSSim – Agent Based Two-Sided Mobility Market Simulator.” Working paper. https://github.com/RafalKucharskiPK/MaaSSim.
   Google Scholar
• Li, Sen, Hamidreza Tavafoghi, Kameshwar Poolla, and Pravin Varaiya. 2019. “Regulating TNCs: Should Uber and Lyft Set Their Own Rules?.” Transportation Research Part B: Methodological 129 (3): 193–225.
   Google Scholar
• Nourinejad, Mehdi, and Mohsen Ramezani. 2020. “Ride-Sourcing Modeling and Pricing in Non-equilibrium Two-sided Markets.” Transportation Research Part B: Methodological 132 (3): 340–357.
   Google Scholar
• Pastor-Satorras, Romualdo, Claudio Castellano, Piet Van Mieghem, and Alessandro Vespignani. 2015. “Epidemic Processes in Complex Networks.” Reviews of Modern Physics 87 (3): 925–979.
   Web of Science ®Google Scholar
• Prassl, Jeremias, and Martin Risak. 2015. “Uber, Taskrabbit, and Co.: Platforms As Employers – Rethinking the Legal Analysis of Crowdwork.” Comparative Labor Law & Policy Journal 37: 619.
   Google Scholar
• Qian, Xinwu, and Satish V. Ukkusuri. 2017. “Taxi Market Equilibrium with Third-party Hailing Service.” Transportation Research Part B: Methodological 100 (3): 43–63.
   Google Scholar
• Rayle, Lisa, Danielle Dai, Nelson Chan, Robert Cervero, and Susan Shaheen. 2016. “Just a Better Taxi? A Survey-based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco.” Transport Policy 45: 168–178.
   Web of Science ®Google Scholar
• Rijkswaterstaat. 2020. “Kengetallen Bereikbaarheid.” Accessed 2020-02-19. https://www.rwseconomie.nl/kengetallen/kengetallen-bereikbaarheid-map.
   Google Scholar
• Robinson, Hilary C. 2017. “Making a Digital Working Class: Uber Drivers in Boston, 2016–2017.” PhD diss., Massachusetts Institute of Technology.
   Google Scholar
• Rogers, Everett M. 1995. “Lessons for Guidelines From the Diffusion of Innovations.” The Joint Commission Journal on Quality Improvement 21 (7): 324–328.
   PubMedGoogle Scholar
• Rogers, Everett M. 2010. Diffusion of Innovations. New York, NY: Simon and Schuster.
   Google Scholar
• Sun, Luoyi, Ruud H. Teunter, M. Zied Babai, and Guowei Hua. 2019. “Optimal Pricing for Ride-sourcing Platforms.” European Journal of Operational Research 278 (3): 783–795.
   Web of Science ®Google Scholar
• Taylor, Terry A. 2018. “On-Demand Service Platforms.” Manufacturing & Service Operations Management 20 (4): 704–720.
   Web of Science ®Google Scholar
• Uber Technologies Inc. 2020a. “Hoeveel Kost Een Rit Via Uber?” Accessed 2020-01-23. https://www.uber.com/nl/nl/price-estimate/.
   Google Scholar
• Uber Technologies Inc. 2020b. “Tracking Your Earnings.” Accessed 2020-01-23. https://www.uber.com/gh/en/drive/basics/tracking-your-earnings/.
   Google Scholar
• Wang, Hai, and Hai Yang. 2019. “Ridesourcing Systems: A Framework and Review.” Transportation Research Part B: Methodological 129: 122–155.
   Web of Science ®Google Scholar
• Xu, Zhengtian, Daniel A. M. C. Vignon, Yafeng Yin, and Jieping Ye. 2020. “An Empirical Study of the Labor Supply of Ride-sourcing Drivers.” Transportation Letters 0: 1–4.
   Google Scholar
• Yu, Biying, Ye Ma, Meimei Xue, Baojun Tang, Bin Wang, Jinyue Yan, and Yi-Ming Wei. 2017. “Environmental Benefits From Ridesharing: A Case of Beijing.” Applied Energy 191: 141–152.
   Web of Science ®Google Scholar
• Yu, Jiayi Joey, Christopher S. Tang, Zuo-Jun Max Shen, and Xiqun Michael Chen. 2020. “A Balancing Act of Regulating on-demand Ride Services.” Management Science 66 (7): 2975–2992.
   Web of Science ®Google Scholar
• Zha, Liteng, Yafeng Yin, and Yuchuan Du. 2018a. “Surge Pricing and Labor Supply in the Ride-sourcing Market.” Transportation Research Part B: Methodological 117: 708–722.
   Web of Science ®Google Scholar
• Zha, Liteng, Yafeng Yin, and Zhengtian Xu. 2018b. “Geometric Matching and Spatial Pricing in Ride-sourcing Markets.” Transportation Research Part C: Emerging Technologies 92: 58–75.
   Web of Science ®Google Scholar
• Zha, Liteng, Yafeng Yin, and Hai Yang. 2016. “Economic Analysis of Ride-sourcing Markets.” Transportation Research Part C: Emerging Technologies 71 (Part A): 249–266.
   Google Scholar
• Zhang, Zi-Ke, Chuang Liu, Xiu-Xiu Zhan, Xin Lu, Chu-Xu Zhang, and Yi-Cheng Zhang. 2016. “Dynamics of Information Diffusion and Its Applications on Complex Networks.” Physics Reports 651 (45): 1–34.
   Google Scholar
• Zhou, Yaqian, Hai Yang, Jintao Ke, Hai Wang, and Xinwei Li. 2020. “Competitive Ride-Sourcing Market With a Third-Party Integrator.” ArXiv:2008.09815 [econ.GN].
   Google Scholar
• Zhu, Zheng, Xiaoran Qin, Jintao Ke, Zhengfei Zheng, and Hai Yang. 2020. “Analysis of Multi-modal Commute Behavior with Feeding and Competing Ridesplitting Services.” Transportation Research Part A: Policy and Practice 132 (2): 713–727.
   Google Scholar