Unlock the Sharing Economy: The Case of the Parking Sector for Recurrent Commuting Trips

Author(s):  
Wei Liu ◽  
Fangni Zhang ◽  
Xiaolei Wang ◽  
Chaoyi Shao ◽  
Hai Yang

This study examines the pricing strategy of a parking sharing platform that rents the daytime-usage rights of private parking spaces from parking owners and sells them to parking users. In an urban area with both shared parking and curbside parking, a choice equilibrium model is proposed to predict the number of shared parking users under any given pricing strategy of the platform. We analytically analyze how the pricing strategy of the platform (price charged on users and rent paid to parking owners or sharers) would affect the parking choice equilibrium and several system efficiency metrics. It is shown that the platform is profitable when some parking owners have a relatively small inconvenience cost from sharing their spaces, but its profit is always negative at minimum social cost. Numerical studies are conducted to illustrate the analytical results and provide further understanding.

2020 ◽  
pp. 1-28
Author(s):  
Yifeng Peng

Over the years, as people's lives have improved, our need for transportation and accommodation has increased, driving the rapid growth of the sharing economy. Some well-known network sharing platforms, such as Uber, Drip and Airbnb, provide a large number of convenient options for users with transactional needs, make more use of idle tourism, accommodation and other resources. Sharing economy platforms continue to improve the content and format of their products, but at the same time, the future of sharing platforms and the difficulty of competition is a concern as more platform companies become involved and prices become more transparent. Under this circumstance, optimizing product pricing has become an urgent need for many sharing economy platforms. In this paper, we take Airbnb as the starting point and conduct an empirical analysis of the blocking behavior of homeowners based on proprietary data to explore the factors that affect their product supply. We find that price, number of beds, and listing type all have a significant impact on blocking houses. After that, we conducted further research on price factors and developed a model aiming at profit maximization to obtain the best pricing range for the region and provide suggestions for pricing strategies. Keywords: Sharing Economy, Blocking behavior, Pricing Strategy, Airbnb


Algorithms ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 24 ◽  
Author(s):  
Ling Zhu ◽  
Jie Lin

A lot of research work has studied the auction mechanism of uncertain advertising cooperation between the e-commerce platform and advertisers, but little has focused on pricing strategy in stable advertising cooperation under a certain market power structure. To fill this gap, this paper makes a study of the deep interest distribution of two parties in such cooperation. We propose a pricing strategy by building two stackelberg master-slave models when the e-commerce platform and the advertiser are respectively the leader in the cooperation. It is analyzed that the optimization solution of the profits of both parties and the total system are affected by some main decision factors including the income commission proportion, the advertising product price and the cost of advertising effort of both parties’ brand in different dominant models. Then, some numerical studies are used to verify the effectiveness of the models. Finally, we draw a conclusion and make some suggestions to the platforms and the advertisers in the e-commerce advertising cooperation.


2003 ◽  
Vol 20 ◽  
pp. 79-85
Author(s):  
Atsushi KOIKE ◽  
Yoshifumi ISHIKAWA ◽  
Takayuki UEDA ◽  
Mitsugu KOUNO

2021 ◽  
Vol 111 (9) ◽  
pp. 2782-2810
Author(s):  
Ton S. Van den Bremer ◽  
Frederick Van der Ploeg

The social cost of carbon is the expected present value of damages from emitting one ton of carbon today. We use perturbation theory to derive an approximate tractable expression for this cost adjusted for climatic and economic risk. We allow for different aversion to risk and intertemporal fluctuations, skewness and dynamics in the risk distributions of climate sensitivity and the damage ratio, and correlated shocks. We identify prudence, insurance, and exposure effects, reproduce earlier analytical results, and offer analytical insights into numerical results on the effects of economic and damage ratio uncertainty and convex damages on the optimal carbon price. (JEL E12, G22, H23, O44, Q35, Q51, Q54)


1980 ◽  
Vol 98 (4) ◽  
pp. 803-818 ◽  
Author(s):  
C. J. Knickerbocker ◽  
Alan C. Newell

An extension of the analytical results of Kaup & Newell (1978) concerning the effect of a perturbation on a solitary wave of the Korteweg–de Vries equation is given and numerical studies are conducted to verify the conclusions. In all cases, the numerical results agree with the results predicted by the theory. The most striking feature of the perturbed flow is the presence of a shelf in the lee of the solitary wave whose role is to absorb (provide) the extra mass which is created (depleted) by the perturbation.


2009 ◽  
Vol 4 (3) ◽  
Author(s):  
Achanta Ramakrishna Rao ◽  
Ajey Kumar Patel ◽  
Bimlesh Kumar

Surface aeration systems are the most energy extensive unit. It is essential that the design of aeration systems should be as near optimal as is possible. Here, geometry of the aeration tank imparts a major effect on the system efficiency. Therefore, it is essential to have the optimal geometric conditions for the aeration tank. Optimal geometric conditions are also needed to scale up the laboratory result to the field installation. In the present work, experimental and numerical studies have been carried out on the effect of geometric parameters on oxygen transfer and macromixing time scale in baffled circular surface aeration tank to ascertain the optimal geometric conditions. Optimal geometric conditions developed in the present work may be useful in the field installation of the present systems.


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