Differential pricing strategies of ride‐sharing platforms: choosing customers or drivers?

Author(s):  
Daozhi Zhao ◽  
Ziwei Yuan ◽  
Mingyang Chen ◽  
Shuang Yang
Author(s):  
Laurence O’Rourke

Through the Staggers Rail Act (1980) and the Railroad Revitalization and Regulatory Reform Act (1976), Congress deregulated railroad pricing to improve the financial health of the industry. Deregulation legalized differential pricing—the policy of charging customers different prices according to their willingness to pay. While the railroads have returned to profitability, shippers have been angered by railroad pricing strategies that are seen as abusive. Railroads have refused to quote rates to competing transportation facilities or have set prices to divert traffic onto the rail network. An economic measurement of the impact of differential pricing of rail services on barge transportation in the Ohio River Basin is provided by constructing a model to predict freight traffic volumes at barge terminals in the Ohio River Basin.


2007 ◽  
Vol 7 ◽  
pp. 216-220
Author(s):  
Shana R Ponelis

During the past few years information has increasingly become a commodity. As a commodity the atypical cost structure of information goods in competitive markets result in the price of reproduction of information goods tending to zero implying that market failure is highly likely. Intellectual property rights prevent such market failure by protecting the ability of creators and/or distributors to charge for information goods and as such serve to stimulate and support the creation of information. But information also plays a vital role in enabling people‘s human rights in their everyday lives and it is therefore of paramount importance that such information be accessible. Pricing of information is one of the main factors determining accessibility and pricing strategies should aim to maximise access not just profit and thereby contribute to a socially just world. This paper examines the nature and pricing of information goods and suggests differential pricing of information goods based Rawls‘ principles of social justice.


2018 ◽  
Vol 2018 ◽  
pp. 1299-1299
Author(s):  
Cindy Yoonjoung Heo ◽  
◽  
Mara Leidi ◽  
Seob Gyu Song

Author(s):  
Zhiwei (Tony) Qin ◽  
Xiaocheng Tang ◽  
Yan Jiao ◽  
Fan Zhang ◽  
Chenxi Wang ◽  
...  

In this demo, we will present a simulation-based human-computer interaction of deep reinforcement learning in action on order dispatching and driver repositioning for ride-sharing.  Specifically, we will demonstrate through several specially designed domains how we use deep reinforcement learning to train agents (drivers) to have longer optimization horizon and to cooperate to achieve higher objective values collectively. 


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