Modeling the Impact of Emerging Mobility Services Using Big Data Analytics

使用大数据分析对新兴移动服务的影响进行建模

• 批准号: RGPIN-2022-03037
• 负责人: Demissie, MerkebeGetachew
• 金额: $ 2.26万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=749320
• 关键词: Modeling; Impact; Emerging; Mobility; Services

The transportation market is undergoing a paradigm shift in response to new mobility trends and technologies. Today's market benefits from more wide-ranging and flexible, on-demand, and responsive emerging mobility services, varying from micro-mobility (e.g., scooter) to ride-hailing (e.g., UberX) and on-demand transit services. These services promise to bring substantial economic, environmental, and social benefits to society. On the other hand, if not properly introduced, emerging mobility services might induce more demand for travel, a shift away from public transit, and possibly urban sprawl, thereby leading to unsustainable travel practices among their users. There is also a question of whether the benefits and costs of emerging mobility services on various population groups are distributed equitably. There is thus a pressing need to model the impacts of these emerging mobility services to provide transportation planners and mobility providers with a more informed decision-making process to capitalize on their potential benefits. The long-term vision of the research program is to advance our ability to model emerging mobility services and analyze their multifaceted impacts to proactively plan their introduction, management, and operation while meeting the sustainability goals of our cities. To help achieve the short-term objectives of this vision, this research program will: (1) Develop a multimodal database to collect, store, fuse, and process data from different emerging mobility services; (2) Develop models to estimate and predict the demand for emerging mobility services, and (3) Develop a unified framework to assess the equity performance of emerging mobility services. This innovative research will develop a generic data-driven demand prediction modeling framework that accommodates many emerging mobility services and their continuously evolving features. This research will thus capitalize on multimodal data collection and integration, data mining and fusion algorithms, visualization, big data analytics, machine learning, and advanced econometric modeling. Further innovation will result from a new unified equity analysis framework that can adequately adjust to the complexity of the service provision processes of emerging mobility services, ensuring optimal and equitable use of these services by Canadians from all walks of life. Despite the rapid influx of emerging mobility services in Canadian cities, research is lacking in modeling the impacts of these services compared to the USA and Europe. The proposed program will enhance Canada's international standing and allow HQP to gain high-demand skills and understand the broader implications of emerging mobility services on the Canadian transportation systems and society at large. Moreover, the developed models will provide insights into policy development, allowing transportation planners and decision-makers to apply these models for evidence-based policy implementation.

运输市场正在经历一场范式转变，以应对新的移动趋势和技术。当今的市场受益于范围更广、更灵活、按需和响应更快的新兴移动服务，从微移动（例如，踏板车）到叫车（例如，UberX）和按需运输服务。这些服务有望为社会带来巨大的经济、环境和社会效益。另一方面，如果不适当地引入，新兴的移动服务可能会引发更多的出行需求，从公共交通转移，并可能导致城市扩张，从而导致其用户的不可持续的出行方式。还有一个问题是，新兴的流动服务对不同人口群体的惠益和成本是否公平分配。因此，迫切需要对这些新兴移动服务的影响进行建模，以便为交通规划者和移动提供商提供更明智的决策过程，以利用其潜在的好处。 该研究计划的长期愿景是提高我们模拟新兴移动服务的能力，并分析其多方面的影响，以积极规划其引入，管理和运营，同时满足我们城市的可持续发展目标。为了帮助实现这一愿景的短期目标，该研究计划将：（1）开发一个多模式数据库，以收集，存储，融合和处理来自不同新兴移动服务的数据;（2）开发模型来估计和预测新兴移动服务的需求;（3）开发一个统一的框架来评估新兴移动服务的公平表现。这项创新研究将开发一个通用的数据驱动的需求预测建模框架，以适应许多新兴的移动服务及其不断发展的功能。因此，这项研究将利用多模态数据收集和集成，数据挖掘和融合算法，可视化，大数据分析，机器学习和先进的计量经济学建模。新的统一公平分析框架将带来进一步的创新，该框架可以充分适应新兴流动服务提供过程的复杂性，确保加拿大各行各业的人最佳和公平地使用这些服务。尽管新兴的移动服务迅速涌入加拿大城市，但与美国和欧洲相比，缺乏对这些服务影响的建模研究。拟议的计划将提高加拿大的国际地位，使HQP获得高需求的技能，并了解新兴的移动服务对加拿大交通系统和整个社会的更广泛的影响。此外，开发的模型将为政策制定提供见解，使交通规划者和决策者能够将这些模型应用于循证政策实施。