课题基金 / 基金详情

EAGER: Inclusive Design and Operations for Integrated Vehicle-and-Service-Sharing Systems

EAGER: Inclusive Design and Operations for Integrated Vehicle-and-Service-Sharing Systems
EAGER:集成车辆和服务共享系统的包容性设计和运营
批准号:
1636876
负责人:
Siqian Shen
金额:
$14.94万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2018-12-31

项目摘要

项目成果

Siqian Shen的其他基金

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中文摘要
翻译
这个智能互联社区(S和CC)早期概念探索性研究助学金(AGIRE)项目将调查利用新的信息和通信技术部署共享互联汽车的可行性、挑战和机遇,以在未来的智能互联社区中交付产品和服务。项目成果将使人们更容易和更透明地获得交通和递送服务,并将为公众创造新的就业机会。需要交通工具才能获得就业机会、医疗设施、提供价格有竞争力的健康食品选择的杂货店,以及儿童保育。送货服务可以为那些不能移动或地理上与世隔绝的人提供医疗服务、药品和食物。然而,老年人、残疾人和穷人等服务不足的人群往往无法获得可靠的交通和这些类型的递送服务,而且对如何为这些人群最好地设计这些交通系统和运营还没有很好的了解。该奖项支持基础研究,以了解此类服务的存在要求。这些结果将在美国带来积极的社会和经济效益,这些结果将有助于将交通选择扩大到服务不足的人。单是这项研究的实施就可以提高技术素养,增加联网机会,并在服务不足且往往地理上与世隔绝的社区中更多地获得医疗保健、健康食品和就业机会。该项目旨在通过车辆和服务共享计划确定在智能和互联社区中吸引服务不足者的障碍和机会。该研究小组将开发和探索两种类型的车辆和服务共享方案:集中式和分散式系统。这些方案都会有相应的界面设计,供用户进行交互分析。研究团队将使用严格的数学建模和算法设计,并对通过现场实验室和行为研究获得的数据进行统计分析。生活实验室研究涉及在现实生活环境中与多个利益相关者(例如社区成员、当地企业和组织)共同创造产品、服务、业务和技术,以了解如何部署共享车辆以促进送货服务和共享乘车到工作和求职面试。这些研究将使研究人员能够:了解利益相关者对系统的信任级别,并了解未来要优先部署的服务类型、部署和服务不足的人群。这一研究成果将广泛应用于行为经济学、人机交互和普适计算等领域。
英文摘要
This Smart and Connected Communities (S&CC) EArly-concept Grant for Exploratory Research (EAGER) project will investigate the feasibility, challenges, and opportunities of deploying shared connected vehicles with new information and communication technologies, to deliver goods and services in future smart and connected communities. The project outcomes will lead to easier and more transparent access to transportation and delivery services, and will create new job opportunities to the public. Transportation is needed to access jobs, medical facilities, grocery stores that offer competitively-priced healthy food options, and childcare. Delivery services could provide healthcare services, medicine and food to those who are immobile or geographically isolated. However, reliable access to transportation and to these types of delivery services are often unavailable to underserved populations such as the elderly, disabled, and the poor, and understanding how to best design these transportation systems and operations for these populations is not well understood. This award supports fundamental research to understand the requirements for such services to exist. The results will lead to positive societal and economic benefits in the U.S. and these outcomes will help to expand transportation options to the underserved. The execution of this research alone could lead to increased technological literacy, increased networking opportunities and enhanced access to medical care, healthy food, and employment among underserved and often geographically isolated communities.This project aims to identify barriers and opportunities for engaging the underserved in smart and connected communities through vehicle-and-service-sharing schemes. This research team will develop and explore two types of vehicle-and-service-sharing schemes: centralized and decentralized systems. These schemes will have a corresponding interface design for user interaction for analysis. The research team will use rigorous mathematical modeling and algorithm design, with statistical analysis of data acquired through living lab and behavioral studies. The living lab studies involve the co-creation of products, services, businesses and technologies in real-life environments with multiple stakeholders (e.g., community members, local businesses and organizations), to understand how to deploy shared vehicles to facilitate delivery services and shared rides to jobs and job interviews. These studies will enable researchers to: understand stakeholders' levels of trust in the system and understand the types of services, deployments, and underserved populations to prioritize deployment to in the future. The results of this research will broadly contribute to the fields of Behavioral Economics, Human-Computer Interaction and Ubiquitous Computing.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.orl.2018.10.002
发表时间: 2018
期刊: Operations Research Letters
影响因子: 1.1
作者: [Yu, Miao, Nagarajan, Viswanath, Shen, Siqian]
通讯作者: Shen, Siqian
Minimum Makespan Vehicle Routing Problem with Compatibility Constraints
具有兼容性约束的最小完工时间车辆路径问题
DOI: 10.1007/978-3-319-59776-8_20
发表时间: 2017
期刊: Integration of AI and OR Techniques in Constraint Programming
影响因子: --
作者: [Miao Yu, Viswanath Nagarajan]
通讯作者: Miao Yu, Viswanath Nagarajan
DOI: 10.1287/msom.2017.0644
发表时间: 2018-03-01
期刊: M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
影响因子: 6.3
作者: [Lu, Mengshi, Chen, Zhihao, Shen, Siqian]
通讯作者: Shen, Siqian
Improving Column Generation for Vehicle Routing Problems via Random Coloring and Parallelization
通过随机着色和并行化改进车辆路径问题的列生成
DOI: 10.1287/ijoc.2021.1105
发表时间: 2021
期刊: INFORMS Journal on Computing
影响因子: 2.1
作者: [Yu, Miao, Nagarajan, Viswanath, Shen, Siqian]
通讯作者: Shen, Siqian
Collaborative Research: Emerging Optimization Methods for Planning and Operating Shared Mobility Systems under Uncertain Budget and Market Demand
Adjustable Risk Management under Ambiguous Decision Preferences and Data Uncertainty
海外基金