激励相容性
计算机科学
收入
机构设计
共享经济
拍卖算法
激励
市场机制
投标
共同价值拍卖
收入分享
拍卖理论
空格(标点符号)
组合拍卖
运筹学
微观经济学
业务
收入等值
经济
工程类
操作系统
宏观经济学
万维网
会计
作者
Bing Qing Tan,Su Xiu Xu,Ray Y. Zhong,Meng Cheng,Kai Kang
出处
期刊:Industrial Management and Data Systems
[Emerald Publishing Limited]
日期:2019-09-09
卷期号:119 (8): 1734-1747
被引量:32
标识
DOI:10.1108/imds-04-2019-0244
摘要
Purpose The purpose of this paper is to design a parking space management platform to alleviate the parking problem and a two-stage solution for sharing and allocating parking spaces. Design/methodology/approach The market design mechanism and auction mechanism are integrated to solve the problem of parking space sharing and allocation. In the first stage, the market design mechanism with two rules is applied for making the good use of idle parking spaces. In the second stage, two sequential auction mechanisms are designed by extending first/second-price sealed bid auction mechanism to allocate both private and public parking spaces, which are received in previous stage and owned by the platform. Two stages are connected through a forecasted price which is calculated through the exponential smoothing method. Findings First, we prove three important properties of the proposed sequential auction mechanisms, namely, incentive compatibility, revenue equivalence and individual rationality. Second, a simulation study is used to verify the effectiveness of the mechanisms through numerical analysis. The impact of the system on three parts, namely, agents (private parking space suppliers), bidders (parking space customers) and the platform, is examined. Third, the results show that the sharing mechanism with monetrary incentive will attract a number of agents to join in the platform. The bidders are also able to obtain considerable utility, as compared with the (average) market parking fees. The platform can thus effectively allocate parking spaces with reasonable prices. Originality/value This paper combines the classical sequential auction mechanisms with the market design mechanism for the parking space sharing and allocation problem. The modeling and analysis method can also be used to address the similar allocation and pricing problems of other resources like bicycle sharing.
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