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CPS: TTP Option: Medium: Building a Smart City Economy and Information Ecosystem to Motivate Pro-Social Transportation Behavior

CPS: TTP Option: Medium: Building a Smart City Economy and Information Ecosystem to Motivate Pro-Social Transportation Behavior
CPS:TTP 选项:中:构建智慧城市经济和信息生态系统,激励亲社会交通行为
批准号:
1739413
负责人:
Alexandros Labrinidis
金额:
$144.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2022-08-31

项目摘要

项目成果

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中文摘要
翻译
自20世纪中叶以来,城市的增长和扩张导致了对私家车的强烈依赖。在过去的几年里,城市规划者已经开始重新思考城市的交通模式,并最终意识到,真正可持续的交通和城市环境总体上需要转向多式联运。在PittSmartLiving项目中,我们以整体的方式看待向多式联运的转变。特别是,我们将设计、开发、部署和评估一个平台,该平台将整合来自所有相关利益相关者(通勤者、交通运营商和当地企业)的信息,并协调其激励措施,以提高公共交通的利用率和质量。由此产生的网络-实体系统将(1)为通勤者提供所有相关公共交通选择(例如,公共汽车、地铁、班车、自行车等)的到达和使用情况的实时信息,以及(2)围绕多式联运建立一个市场,企业可以向附近的通勤者提供与这些交通信息相关的、对时间敏感的激励措施(例如,下一班公交车太满,进来后享受1美元的咖啡)。这不仅有可能通过平衡公共交通网络的利用率来改善整体乘车体验(例如,将一些需求从高峰时间转移出去),而且还可以优化当地企业的客流。将非常重视开发能够在尊重通勤者隐私期望的同时提供所需服务的机制。作为该项目的一部分,将部署一个史无前例的试验性基础设施(在匹兹堡的奥克兰和市中心地区),使PI能够确定一套激励机制,可以在真实的城市环境中将通勤者转移到公共交通工具。这是城市核心地区第一次真正成为实验室,科学家和工程师可以在这里进行旨在提高城市居民生活质量的实验。该项目的主要预期技术贡献可概括如下。(1)发展全面的城市交通系统,平衡公共交通网络和当地企业的使用,从而不仅改善公共交通,而且改善一般城市生活。(2)设计和评估整合和协调各利益相关者激励的市场机制。(3)将注意力从时间效率(即最快路线)转移到更可持续的通勤(例如公共交通、骑自行车等)除了以居民福祉为目标的通勤选择(如“美丽”路线、“清洁”路线、“无障碍”路线等),有关该项目的更多信息,请访问http://PittSmartLiving.org。
英文摘要
The growth and expansion of cities since the mid 20th century has led to a strong dependency on private automobiles. During the last years, urban planners have started rethinking the mobility modes in a city and have finally realized that a truly sustainable transportation and urban environment in general, requires a shift to multimodal transportation. In the PittSmartLiving project, we view the shift to multimodal transportation in a holistic way. In particular, we will design, develop, deploy, and evaluate a platform that will integrate information from and align the incentives of all involved stakeholders (commuters, transport operators, and local businesses) towards increasing the utilization and quality of public transportation. The resulting Cyber-Physical system will (1) provide commuters with real-time information of arrival and utilization of all relevant options of public transit (e.g., bus, subway, shuttles, bikes, etc.), and (2) build a marketplace around multimodal mobility, where businesses can offer time-sensitive incentives connected to this transit information to nearby commuters (e.g., the next bus is too full, come in and enjoy $1 coffee). This has the potential to improve not only the overall ridership experience by balancing utilization across public transportation networks (e.g., shifting some of the demand away from the peak hours), but also to optimize customer flows in local businesses. Significant emphasis will be given to the development of mechanisms that will be able to deliver the required services while respecting the privacy expectations of the commuters. As part of this project, an unprecedented experimental infrastructure will be deployed (in the Oakland and Downtown areas of Pittsburgh) that will allow the PIs to identify a set of incentive mechanisms that can shift commuters to public transportation in a real urban environment. This is the first time that an urban core truly becomes a laboratory, where scientists and engineers can run experiments aimed at improving the quality of life of city-dwellers. The main expected technical contributions of this project can be summarized as follows. (1) Development of a holistic urban transportation system that balances utilization across both public transportation networks and local businesses, thus improving not only public transit but also general urban living. (2) Design and evaluation of the market mechanism that integrates and aligns the incentives of various stakeholders. (3) Shift of attention from temporal efficiency (i.e., fastest route) to more sustainable commuting (e.g., public transit, biking etc.) as well as commuting options geared towards the well-being of dwellers (e.g., "beautiful" routes, "clean" routes, "accessible" routes etc.)Additional information about this project can be found at http://PittSmartLiving.org
期刊论文(24)
专著(0)
科研奖励(0)
会议论文
PittGrub: A Frustration-Free System to Reduce Food Waste by Notifying Hungry College Students
PittGrub:通过通知饥饿的大学生来减少食物浪费的无忧系统
DOI: 10.1145/3219819.3219836
发表时间: 2018
期刊: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2018
影响因子: --
作者: [Silvis, Mark, Sicilia, Anthony, Labrinidis, Alexandros]
通讯作者: Labrinidis, Alexandros
A Ranked Bandit Approach for Multi-stakeholder Recommender Systems
多利益相关者推荐系统的排名强盗方法
DOI: --
发表时间: 2022
期刊: Workshop of Multi-Objective Recommender Systems (MORS’22
影响因子: --
作者: [Arabghalizi, Tahereh, Labrinidis, Alexandros]
通讯作者: Labrinidis, Alexandros
DOI: 10.1145/3385729
发表时间: 2020-06-01
期刊: ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS
影响因子: 3.4
作者: [Ahn, Yongsu, Lin, Yu-Ru]
通讯作者: Lin, Yu-Ru
A Holistic Evaluation of Transit Supply and Demand using Network Analysis: The TDI Framework
使用网络分析对交通供需进行整体评估:TDI 框架
DOI: --
发表时间: 2018
期刊: Proceedings of the Third Mining Urban Data Workshop (MUD 2018
影响因子: --
作者: [Sicilia, Anthony, Labrinidis, Alexandros, Pelechrinis, Konstantinos]
通讯作者: Pelechrinis, Konstantinos
21
    NSF Student Travel Support for 2018 IEEE International Conference on Data Engineering (ICDE)
    • 批准号:
      1824659
    • 项目类别:
      Standard Grant
    • 资助金额:
      $3.12万
    • 财政年份:
      2018
    • 负责人:
      Alexandros Labrinidis
    • 依托单位:
    NSF Student Travel Grant for 2017 IEEE International Conference on Data Engineering (ICDE)
    • 批准号:
      1740411
    • 项目类别:
      Standard Grant
    • 资助金额:
      $2.58万
    • 财政年份:
      2017
    • 负责人:
      Alexandros Labrinidis
    • 依托单位:
    CDI-Type II: Understanding the Universe through Scalable Navigation of a Galaxy of Annotations
    • 批准号:
      1028162
    • 项目类别:
      Standard Grant
    • 资助金额:
      $159.98万
    • 财政年份:
      2010
    • 负责人:
      Alexandros Labrinidis
    • 依托单位:
    CAREER: User-Centric Data Management
    • 批准号:
      0746696
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $55.35万
    • 财政年份:
      2008
    • 负责人:
      Alexandros Labrinidis
    • 依托单位:
    国内基金
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    RNA结合蛋白TTP在阿尔茨海默病中的作用机制研究
    • 批准号:
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2023
    • 负责人:
    • 依托单位:
    TTP和XPO4蛋白介导lncRNA转运在子宫颈鳞状细胞癌中功能及机制的研究
    • 批准号:
      --
    • 项目类别:
      面上项目
    • 资助金额:
      54万元
    • 批准年份:
      2022
    • 负责人:
      陈亮
    • 依托单位:
    平滑肌中TTP在血压调控中的作用及机制研究
    • 批准号:
      --
    • 项目类别:
      面上项目
    • 资助金额:
      52万元
    • 批准年份:
      2022
    • 负责人:
      张文程
    • 依托单位:
    TTP-KDM3A/CYP19A1调控滋养层细胞分化和侵袭的机制研究
    • 批准号:
      82171669
    • 项目类别:
      面上项目
    • 资助金额:
      54万元
    • 批准年份:
      2021
    • 负责人:
      林羿
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