Matching supply and demand in a sharing economy: Classification, computational complexity, and application

2019 ◽  
Vol 278 (2) ◽  
pp. 578-595 ◽  
Author(s):  
Nils Boysen ◽  
Dirk Briskorn ◽  
Stefan Schwerdfeger
Keyword(s):  
Computational Complexity ◽  
Supply And Demand ◽  
Sharing Economy

scholarly journals AI Combine with Wishing Tree Hole, Spitting Tree Hole and Shared Time Bank

2021 ◽  
Vol 251 ◽  
pp. 02022
Author(s):  
Shih-Feng Chang ◽  
Wei-Zheng Zhang ◽  
Wan-Yin Liang ◽  
Jia-Yue Qiu ◽  
Sui Pan ◽  
...  
Keyword(s):  
Poverty Alleviation ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Negative Energy ◽  
Use Of Resources ◽  
Tree Hole ◽  
Time Bank ◽  
Shared Time ◽  
Education Support ◽  
Effective Use

Under the thinking of “sharing economy”, Wish Magic wants to create a platform called “shared time bank”, so that users of the platform can store their free time in the “shared time bank” platform in advance. Then, according to the precise docking of products and services as well as supply and demand, Wish Magic also carries out the “wishing tree hole” platform to effectively interact with users according to the latest news and wish list released by users, and regularly goes to poor areas to carry out relevant poverty alleviation activities, so as to provide education support for local people with educational needs and truly play the role of targeted poverty alleviation. In addition, in today’s situation of prevailing pressure, Wish Magic will also create a “spitting tree hole” platform to provide a space for everyone to spit and vent their negative energy, and provide advice for everyone in work, study, love or marriage and other aspects, and help to solve practical problems. The combination of these three platforms enable people to arrange their time reasonably, make effective use of resources, and help people improve their work efficiency and quality of life, so as to create greater economic and social benefits.

scholarly journals Innovations in Tourism Marketing: Sharing Economy Platform

2020 ◽  
pp. 11-25
Author(s):  
Aleksandr Kljucnikov ◽  
Mehmet Civelek ◽  
Vladimír Krajcík ◽  
Lubomír Kmeco
Keyword(s):  
Housing Market ◽  
Tax Evasion ◽  
Supply And Demand ◽  
Rental Housing ◽  
Sharing Economy ◽  
Tourism Marketing ◽  
Scientific Discussion ◽  
Literary Sources ◽  
Marketing Firms

This research summarizes the arguments and counterarguments within the scientific discussion on the issue of potential tax evasions and increased rental rates that one of innovative home-sharing platforms might causes. The study aims to find possible tax evasion that each property and each host can cause by considering creative activities in tourism marketing and a sharing economy platform, Airbnb in Prague. Besides, the authors identified the potential problems in the rental accommodation market. Systematization literary sources and approaches for solving the problem of sharing economy platforms indicate that although these platforms benefit for some economic, social and environmental issues, they pose some troubles in various markets. Regarding methodological tools of the research method, this paper used a web scraping technique to gain data from the Airbnb website. The authors analysed 13918 accommodations that were rented by 6768 Airbnb users between April 2016 and March 2017. In the study, the authors used the Microsoft Excel 2016 program and a model created by researchers to make calculations. The paper presented the results of an empirical analysis showing that in case the sensitive regulation of the number of nights will apply the potential tax incomes will lower only on 0.98% when considering accommodations and on 6.40% when considering users. In this case, 16832 rental units will appear in the long-term housing market. Moreover, tax evasion becomes more when considering each dwelling instead of each host because some users rented more than one rental accommodation. The research also empirically confirms and theoretically proves that that extended limits for overnight stays yield benefits for costs, supply and demand of rental housing. Those findings can be useful for governments, academicians that are interested in tourism marketing, firms in the accommodation industry that look for new marketing innovations and short or long-term housing market participants such as lessor and lessees. Keywords: accommodation, tourism, marketing, Airbnb, innovation, home-sharing, Prague, sharing economy, taxation.

scholarly journals The airification of cities. Making sense of the impact of peer to peer short term letting on urban functions and economy

2019 ◽  
Author(s):  
Stefano Picascia ◽  
Antonello Romano ◽  
Michela Teobaldi
Keyword(s):  
Spatial Patterns ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Peer To Peer ◽  
Economic Advantage ◽  
Short Term ◽  
Making Sense ◽  
The Impact ◽  
The Way

An in-depth look into the mechanics of short term rentals in Italy. The study is based on a vast dataset comprising of all the properties listed on the Airbnb website in 10 major cities in the years 2015, 2016 and 2017. We discuss the spatial patterns of Airbnb supply and demand within and between cities, we then hypothesize on the possible drivers of the Airbnb offer and suggest a possible way to assess whether Airbnb supply could be driven by an economic advantage of short-term over long term letting. We also discuss the way the benefits of this particular incarnation of the sharing economy are shared among participants. Finally, we conclude by presenting a possible alternative way of regulating Airbnb.

Competition Between Two-Sided Platforms Under Demand and Supply Congestion Effects

2020 ◽  
Author(s):  
Fernando Bernstein ◽  
Gregory A. DeCroix ◽  
N. Bora Keskin
Keyword(s):  
Service Providers ◽  
Supply And Demand ◽  
Relative Number ◽  
Sharing Economy ◽  
Problem Definition ◽  
Ride Sharing ◽  
Managerial Implications ◽  
The Impact ◽  
Number Of Customers ◽  
Congestion Effects

Problem definition: This paper explores the impact of competition between platforms in the sharing economy. Examples include the cases of Uber and Lyft in the context of ride-sharing platforms. In particular, we consider competition between two platforms that offer a common service (e.g., rides) through a set of independent service providers (e.g., drivers) to a market of customers. Each platform sets a price that is charged to customers for obtaining the service provided by a driver. A portion of that price is paid to the driver who delivers the service. Both customers’ and drivers’ utilities are sensitive to the payment terms set by the platform and are also sensitive to congestion in the system (given by the relative number of customers and drivers in the market). We consider two possible settings. The first one, termed “single-homing,” assumes that drivers work through a single platform. In the second setting, termed “multihoming” (or “multiapping,” as it is known in practice), drivers deliver their service through both platforms. Academic/practical relevance: This is one of the first papers to study competition and multihoming in the presence of congestion effects typically observed in the sharing economy. We leverage the model to study some practical questions that have received significant press attention (and stirred some controversies) in the ride-sharing industry. The first involves the issue of surge pricing. The second involves the increasingly common practice of drivers choosing to operate on multiple platforms (multihoming). Methodology: We formulate our problem as a pricing game between two platforms and employ the concept of a Nash equilibrium to analyze equilibrium outcomes in various settings. Results: In both the single-homing and multihoming settings, we study the equilibrium prices that emerge from the competitive interaction between the platforms and explore the supply and demand outcomes that can arise at equilibrium. We build on these equilibrium results to study the impact of surge pricing in response to a surge in demand and to examine the incentives at play when drivers engage in multihoming. Managerial implications: We find that raising prices in response to a surge in demand makes drivers and customers better off than if platforms were constrained to charge the same prices that would arise under normal demand levels. We also compare drivers’ and customers’ performance when all drivers either single-home or multihome. We find that although individual drivers may have an incentive to multihome, all players are worse off when all drivers multihome. We conclude by proposing an incentive mechanism to discourage multihoming.

scholarly journals How Does Bilateral Preference Affect Shared Parking in Sharing Economy?

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yuxue Zhang ◽  
Haoyu Wen ◽  
Ming Zhao ◽  
Zhaojun Yang
Keyword(s):  
Urban Areas ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Utilization Rate ◽  
Parking Space ◽  
Economic Potential ◽  
Weighted Sum Method ◽  
Novel Approach ◽  
Public Resources ◽  
Urban Parking

Sharing economy is seen as an essential building block for sustainability. Yet, inefficient utilizing of parking spaces needs more attention, by which both direct and indirect traffic congestions may be caused, jeopardizing the economic potential of sustainable development. Conventional parking service may gradually lose favour in analogy to its counterpart, of which a novel approach solving shortage of urban parking resources is offered by shared parking. Hence, in this paper, problems of how to redistribute the available private-owned parking slots that be shared are focused due to the parking slot location properties that can be labelled as random, disordered, unstable, widely distributed, etc. Specifically, shared parking greatly enhances reasonability by considering satisfaction. Based on the mechanism of time matching between supply and demand, this paper thoroughly takes the bilateral preference of both parking demanders and parking space suppliers into account in terms of maximization of the utilization rate of shared parking spaces as well as the satisfaction of parking demanders, in which a multiobjective optimization model is established and the weighted sum method combined with the Hungarian method is adopted. Compared with the first-come-first-served (FCFS) strategy, the performance of the proposed method enjoys more advantages in utilizing shared parking spaces and in satisfying parking demanders. The model established and algorithm conducted in this paper meet the requirements induced by parking space redistribution in which inequalities exist between supply and demand, facilitating automobile parking and realizing higher efficiencies in using public resources regarding shortage of parking spaces in urban areas.

Regulatory Risks Faced by the Transportation Sharing Economy: Workforces at Stake

2018 ◽  
Vol 9 (4) ◽  
pp. 641-654
Author(s):  
Ana Maria CORRÊA
Keyword(s):  
Supply Chains ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Third Party ◽  
Global Supply Chains ◽  
Barriers To Entry ◽  
Personal Services ◽  
The World

The rise of sharing economy platforms is ubiquitous throughout the world.1 Their success is attributed to the fact that they directly connect supply and demand by enabling individuals to share goods and personal services, with minimal initial barriers to entry. In addition, they outsource their workforce – making it less expensive and easier to expand internationally. Similar to other global supply chains, workers are mediated by a third party and technology is fundamental to that.2

scholarly journals SHARING ECONOMY AND ITS POPULARITY IN HUNGARY AND ROMANIA

2020 ◽  
Vol 5 (1) ◽  
pp. 60-71
Author(s):  
András Nábrádi ◽  
Tünde Kovács
Keyword(s):  
Service Providers ◽  
Supply And Demand ◽  
Relevant Literature ◽  
Sharing Economy ◽  
Easy Access ◽  
Tertiary Sector ◽  
Advantages And Disadvantages ◽  
Provider Perspectives ◽  
Economic Markets ◽  
The Eu

The purpose of this study aims at introducing the sharing economy, one of the most popular economic mechanisms at present, with special regard to its varieties and definitions. The explosion of the sharing economy into the tertiary sector has changed the balance of powers and paved the way for increasing markets based on a new footing. The emergence of trading platforms has created a wide variety of virtual marketplaces, where consumers and suppliers contact each other directly according to their interests, and may even form groups. The review of the relevant literature can be considered rather inclusive regarding the terms and definitions; therefore, the authors find the separation of suppliers essential, according to whether they are private individuals or entrepreneurs. The literature distinguishes three large groups of the sharing economy: product-service systems, redistribution markets and collaborative lifestyle markets, followed by further sub-categories. This paper focuses on the economic markets of the Hungarian and Romanian sharing economy from supply and demand-side aspects to obtain a clear picture of the sharing economy’s growing range and forms. The paper includes both primary and secondary research, literary sources and the open-access database of the European Commission (2018): Flash Eurobarometer 467 (The Use of the Collaborative Economy), which is analyzed by using the SPSS 24 software. Sharing economies have been studied from both consumer and service provider perspectives. The survey on the percentage of consumers and suppliers, the advantages and disadvantages, the reasons for not using services offered as such, and the motives behind the participation of suppliers on sharing economy platforms was carried out in Hungary and Romania and the EU-28 member states. As regards to the advantages, consumers praise easy access to a given service, and then the sequence of evaluated advantages shows a difference between Romanian and Hungarian users. The estimation of sharing economy services shows a more positive picture among Hungarian residents, whereas Romanian users and service providers as a whole correspond to the EU 28 average. Experience has shown that just like in the 28 members of the EU, the most popular sharing economy platforms are accommodation and ridesharing services in Romania and Hungary. To the best of our knowledge, the analysis of this topic has not been carried out.

scholarly journals Optimization strategy of automobile dispatching based on neural network model

2021 ◽  
Vol 271 ◽  
pp. 01020
Author(s):  
Chuyuan Wang
Keyword(s):  
Neural Network ◽  
Public Transportation ◽  
Missing Values ◽  
Supply And Demand ◽  
Sharing Economy ◽  
Optimization Strategy ◽  
Data Standardization ◽  
Demand Prediction ◽  
The City

As a representative product of the sharing economy era and a powerful supplement to public transportation shared cars have the characteristics of convenience, efficiency, environmental protection, and green travel, and to a certain extent alleviate the contradiction between supply and demand, and solve the problem of long-term idle vehicles and overloaded operation of roads problems. But the uneven distribution of shared cars, the coexistence of no cars, and empty seats will happen. To solve the above problems, this article first analyzes data outliers, data missing values, and data standardization processing on the attached data, and then builds a BP neural network demand prediction model to obtain the distribution of shared car usage in the city.

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