Dynamic Matching in a Sharing Economy
共享经济中的动态匹配
基本信息
- 批准号:RGPIN-2015-06757
- 负责人:
- 金额:$ 1.6万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research aims to study dynamic matching in a sharing economy to maximize the total social welfare, by (1) exploring structures of optimal policies and (2) designing efficiently computable heuristic policies.
To be specific, I propose to study the question of how to match supply with demand in a sharing economy under inter-temporal uncertainty on both sides. What is typically involved in a sharing economy is a two-sided market consisting of the supply and demand side and an intermediary market maker. There are different types of supply and demand. Matching different types of supply and demand incurs different costs. The intermediary organization/platform serves to coordinate supply and demand of different types. For example, United Network for Organ Sharing (UNOS) in the United States allocates donated organs to patients in need of transplantation. Given prices of supply are irrelevant (e.g., in organ transplantation) or exogenously given, matching at the operational level can provide an efficient way for the platform to allocate crowdsourced supply across different demand types inter-temporally. Practitioners of a sharing platform need quantitatively implementable tools to efficiently match supply and demand, taking into account that over time, there will be new arrivals of supply and demand to the market, and unmatched supply and demand may abandon the wait.
Under a discrete-time dynamic programming formulation, I plan to (1) study the structures of the optimal matching policies. Then I plan to (2) derive heuristic policies, based on approximation methods, which the platform can implement to achieve near-optimal social welfare maximization. For certain heuristic policies, I plan to (3) derive their worst-case performance bounds. I suggest to extend the base formulation to 4 different directions, to account for (1) continuous-time arrivals of supply and demand, (2) endogenized pricing decisions, (3) competition between sharing platforms and (4) dynamic matching over a network.
My proposed research is expected to make impacts. First, designing optimal inter-temporal matching policies would enable platforms to achieve higher efficiency and social welfare. I plan to seek possible test and implementation of the derived policies in currently operating sharing platforms. Second, the proposed general framework builds on inventory management (that focuses on the supply side) and revenue management (that focuses on the demand side), the two foundations of operations management/research. Given my publication record in the top operations journals, I am confident of having a couple of high-quality papers coming out of this research proposal (on dynamic matching of both the supply and demand side), which are expected to attract many follow-up works from the community of operations research and management science.
本研究旨在研究共享经济中的动态匹配,以最大限度地提高社会总福利,通过(1)探索最佳政策的结构和(2)设计有效的可计算的启发式政策。
具体而言,我建议研究在共享经济中,在双方都存在跨期不确定性的情况下,如何使供给与需求相匹配。共享经济通常涉及的是一个双边市场,由供需方和中介做市商组成。有不同类型的供应和需求。匹配不同类型的供应和需求会产生不同的成本。中介组织/平台用于协调不同类型的供应和需求。例如,美国的器官共享联合网络(UNOS)将捐赠的器官分配给需要移植的患者。鉴于供应价格无关紧要(例如,在器官移植中)或外部给定的情况下,操作层面的匹配可以为平台提供跨不同需求类型跨时间分配众包供应的有效方式。共享平台的从业者需要量化的可实施工具来有效匹配供给和需求,考虑到随着时间的推移,会有新的供给和需求到达市场,不匹配的供给和需求可能会放弃等待。
在离散时间动态规划公式下,我计划(1)研究最优匹配策略的结构。然后,我计划(2)基于近似方法导出启发式策略,平台可以实现接近最优的社会福利最大化。对于某些启发式策略,我计划(3)导出它们的最坏情况性能界限。我建议将基本公式扩展到4个不同的方向,以解释(1)供应和需求的连续时间到达,(2)内生定价决策,(3)共享平台之间的竞争和(4)网络上的动态匹配。
我所提出的研究有望产生影响。首先,设计最优的跨期匹配策略将使平台实现更高的效率和社会福利。我计划在目前运营的共享平台上寻求可能的测试和实施衍生政策。第二,拟议的总框架建立在库存管理(侧重于供应方)和收入管理(侧重于需求方)这两个业务管理/研究的基础之上。鉴于我在顶级运营期刊上的出版记录,我有信心从这个研究计划(关于供需双方的动态匹配)中产生几篇高质量的论文,预计将吸引运营研究和管理科学界的许多后续工作。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Hu, Ming其他文献
Study on self-excited vibration of hydro-mechanical system in pumped storage plants
抽水蓄能电站水力机械系统自激振动研究
- DOI:
- 发表时间:
2007 - 期刊:
- 影响因子:0
- 作者:
Suo, Li-Sheng;Hu, Ming;Zhou, Jian-Xu - 通讯作者:
Zhou, Jian-Xu
A case of severe leptospirosis with Jarisch-Herxheimer reaction presenting as respiratory failure.
- DOI:
10.3389/fpubh.2023.1125306 - 发表时间:
2023 - 期刊:
- 影响因子:5.2
- 作者:
Shi, Yunzhen;Guo, Wanru;Hu, Ming;Wang, Yuxuan;Li, Jingnan;Hu, Wenjuan;Li, Xiaomeng;Xu, Kaijin - 通讯作者:
Xu, Kaijin
Rational Design and Synthesis of Cyano-Bridged Coordination Polymers with Precise Control of Particle Size from 20 to 500 nm
- DOI:
10.1002/ejic.201300112 - 发表时间:
2013-06-01 - 期刊:
- 影响因子:2.3
- 作者:
Chiang, Ya-Dong;Hu, Ming;Yamauchi, Yusuke - 通讯作者:
Yamauchi, Yusuke
Evaluation of the implementation effect of hepatitis C medical insurance reimbursement policy in China: A RWS based on medical institutions.
评估中国丙型肝炎医疗保险报销政策的实施效果:基于医疗机构的RWS。
- DOI:
10.3389/fpubh.2022.1072493 - 发表时间:
2022 - 期刊:
- 影响因子:5.2
- 作者:
Liu, Yiyao;Gou, Liangwen;Guo, Zhaoting;Wu, Zhiang;He, Qin;Feng, Haihuan;Hu, Ming - 通讯作者:
Hu, Ming
Synthesis, Characterization, and Properties of Binuclear Gold(I) Phosphine Alkynyl Complexes
双核金(I)膦炔基配合物的合成、表征及性能
- DOI:
10.1021/om1000919 - 发表时间:
2010-05 - 期刊:
- 影响因子:2.8
- 作者:
Lin, Yan;Yin, Jun;Yuan, Jingjing;Hu, Ming;Li, Ziyong;Yu, Guang-Ao;Liu, Sheng Hua - 通讯作者:
Liu, Sheng Hua
Hu, Ming的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Hu, Ming', 18)}}的其他基金
On-Demand Resource Sharing Management
按需资源共享管理
- 批准号:
RGPIN-2021-04295 - 财政年份:2022
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
On-Demand Resource Sharing Management
按需资源共享管理
- 批准号:
RGPIN-2021-04295 - 财政年份:2021
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Dynamic Matching in a Sharing Economy
共享经济中的动态匹配
- 批准号:
RGPIN-2015-06757 - 财政年份:2019
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Dynamic Matching in a Sharing Economy
共享经济中的动态匹配
- 批准号:
RGPIN-2015-06757 - 财政年份:2018
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Dynamic Matching in a Sharing Economy
共享经济中的动态匹配
- 批准号:
RGPIN-2015-06757 - 财政年份:2017
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
Dynamic Matching in a Sharing Economy
共享经济中的动态匹配
- 批准号:
RGPIN-2015-06757 - 财政年份:2015
- 资助金额:
$ 1.6万 - 项目类别:
Discovery Grants Program - Individual
相似海外基金
Collaborative Research: Data-Driven Elastic Shape Analysis with Topological Inconsistencies and Partial Matching Constraints
协作研究:具有拓扑不一致和部分匹配约束的数据驱动的弹性形状分析
- 批准号:
2402555 - 财政年份:2024
- 资助金额:
$ 1.6万 - 项目类别:
Standard Grant
Stability in multi-period matching
多周期匹配的稳定性
- 批准号:
23K01312 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Scaling MENTORS in CS (Matching Experienced and Novice Teachers for Ongoing Rigorous Support in Computer Science)
扩展计算机科学领域的导师(匹配经验丰富的教师和新手教师,为计算机科学领域提供持续的严格支持)
- 批准号:
2318232 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Standard Grant
GOALI: Nurse Matching to Hospitals Using Static and Dynamic Allocation through an Online Platform
GOALI:通过在线平台使用静态和动态分配将护士与医院匹配
- 批准号:
2245013 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Standard Grant
The effect of sleep management combined with physical exercise compared to nutrition intervention with physical exercise on the locomotive syndrome in older adults: A propensity score matching study
睡眠管理联合体育锻炼与营养干预联合体育锻炼对老年人运动综合征的影响:倾向评分匹配研究
- 批准号:
23K16720 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Poly-Matching Causal Inference for Assessing Multiple Acute Medical Managements of Pediatric Traumatic Brain Injuries
用于评估小儿创伤性脑损伤的多种急性医疗治疗的多重匹配因果推理
- 批准号:
10586785 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Collaborative Research: Harnessing the chirality matching principle for enhanced catalytic reactivity
合作研究:利用手性匹配原理增强催化反应活性
- 批准号:
2247709 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Continuing Grant
VERGE - Valve Edge Matching Refinement for Greater Efficiency
VERGE - 阀门边缘匹配细化以提高效率
- 批准号:
10073937 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Collaborative R&D
CRII: SHF: Expediting Subgraph Matching on GPUs
CRII:SHF:加快 GPU 上的子图匹配
- 批准号:
2331536 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别:
Standard Grant
SMILE-PD: Similarity Matching In Longitudinal Electronic Patient Data
SMILE-PD:纵向电子患者数据中的相似性匹配
- 批准号:
10799090 - 财政年份:2023
- 资助金额:
$ 1.6万 - 项目类别: