This paper provides an overview of judicial decisions on lawsuits against regulatory penalties imposed on nonprofessional taxi drivers and ride-hailing platform operators in China and the European Union （especially G...This paper provides an overview of judicial decisions on lawsuits against regulatory penalties imposed on nonprofessional taxi drivers and ride-hailing platform operators in China and the European Union （especially Germany）. Despite strikingly different facts in these cases, courts in both China and the EU are frequently called upon to rule on similar legal issues, including the applicability of old regulatory rules to new forms of transport services, the regulatory bar for the operation of emerging transport models, and the proper intensity of competition in taxi markets. The comparison of such cases suggests that for deciding the regulatory schemes of the innovative economy of transport services, the judicial system is not better suited than the regulatory system, especially the regulatory authority of the central government. Moreover, an experimental regulatory approach with minimum standards is arguably a feasible option that can fit with the emerging nature of innovative businesses.展开更多
In recent years, ride-on-demand (RoD) services such as Uber and Didi are becoming increasingly popular. Different from traditional taxi services, RoD services adopt dynamic pricing mechanisms to manipulate the supply ...In recent years, ride-on-demand (RoD) services such as Uber and Didi are becoming increasingly popular. Different from traditional taxi services, RoD services adopt dynamic pricing mechanisms to manipulate the supply and demand on the road, and such mechanisms improve service capacity and quality. Seeking route recommendation has been widely studied in taxi service. In RoD services, the dynamic price is a new and accurate indicator that represents the supply and demand condition, but it is yet rarely studied in providing clues for drivers to seek for passengers. In this paper, we proposed to incorporate the impacts of dynamic prices as a key factor in recommending seeking routes to drivers. We first showed the importance and need to do that by analyzing real service data. We then designed a Markov Decision Process (MDP) model based on passenger order and car GPS trajectories datasets, and took into account dynamic prices in designing rewards. Results show that our model not only guides drivers to locations with higher prices, but also significantly improves driver revenue. Compared with things with the drivers before using the model, the maximum yield after using it can be increased to 28%.展开更多
文摘This paper provides an overview of judicial decisions on lawsuits against regulatory penalties imposed on nonprofessional taxi drivers and ride-hailing platform operators in China and the European Union （especially Germany）. Despite strikingly different facts in these cases, courts in both China and the EU are frequently called upon to rule on similar legal issues, including the applicability of old regulatory rules to new forms of transport services, the regulatory bar for the operation of emerging transport models, and the proper intensity of competition in taxi markets. The comparison of such cases suggests that for deciding the regulatory schemes of the innovative economy of transport services, the judicial system is not better suited than the regulatory system, especially the regulatory authority of the central government. Moreover, an experimental regulatory approach with minimum standards is arguably a feasible option that can fit with the emerging nature of innovative businesses.
文摘In recent years, ride-on-demand (RoD) services such as Uber and Didi are becoming increasingly popular. Different from traditional taxi services, RoD services adopt dynamic pricing mechanisms to manipulate the supply and demand on the road, and such mechanisms improve service capacity and quality. Seeking route recommendation has been widely studied in taxi service. In RoD services, the dynamic price is a new and accurate indicator that represents the supply and demand condition, but it is yet rarely studied in providing clues for drivers to seek for passengers. In this paper, we proposed to incorporate the impacts of dynamic prices as a key factor in recommending seeking routes to drivers. We first showed the importance and need to do that by analyzing real service data. We then designed a Markov Decision Process (MDP) model based on passenger order and car GPS trajectories datasets, and took into account dynamic prices in designing rewards. Results show that our model not only guides drivers to locations with higher prices, but also significantly improves driver revenue. Compared with things with the drivers before using the model, the maximum yield after using it can be increased to 28%.
