Microsimulation Modelling of Urban Goods Movement

城市商品流动的微观模拟建模

• 批准号: RGPIN-2022-04207
• 负责人: Roorda, Matthew
• 金额: $ 4.52万
• 依托单位: University of Toronto
• 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=748874
• 关键词: Microsimulation; Modelling; Urban; Goods; Movement

Freight transportation is at the core of all industry sectors of the Canadian economy. The transportation and warehousing sector in Canada represents 3.8% of the gross domestic product, and commercial transport industry employs about 5% of the Canadian population (Transport Canada, 2020). Freight transportation is undergoing rapid change, with major recent increases in e-commerce, pandemic related disruptions to supply chains, pressure to reduce greenhouse gas (GHG) emissions, new available electrification and automation technologies, labour shortages and lack of diversity. Last mile deliveries usually occur in urban centres and are the most expensive and impactful part of the supply chain. Advances are needed in urban freight transportation analytics, modelling and observational studies to improve our capability to assess impacts of new technology and business innovations, economic and regulatory policies, initiatives to improve labour force diversity, and investments in transportation and infrastructure. Advanced urban freight models are needed to assess mitigation of urban freight impacts on congestion, road safety, air quality, GHG emissions, and noise. Opportunities exist to improve the state-of-the-art in urban freight modelling, resulting from developments in data availability (especially truck telematics and satellite imagery) and data science techniques. There is also a need for freight pilot studies to transfer of knowledge from urban freight models into demonstration projects, which push forward the development of supportive regulation and policy and can provide insights that inform realistic model assumptions and scenarios. The long-term objective of Prof. Roorda's research program is to develop a data-driven urban freight microsimulation modelling system for the Toronto Area that can be used in practice to forecast impacts of freight-related technology, regulation, policy, and infrastructure on private sector operations, freight flows, and their social and environmental impacts. The modelling research will improve state-of-the-art methods for integrating logistics, optimization and data science techniques into public sector urban freight transportation models and will optimize use of combined telematics, sensor, industry and survey data. Scenario analysis, modelling and pilot studies will, in combination, lead to evidence-based public policy in freight and improved private sector freight operations. The short-term objectives are to: 1) Create an integrated freight data platform using data science techniques 2) Develop models of firm behaviour, supply chain and parking for application in a microsimulation model 3) Develop a computation platform for agent-based microsimulation of goods movement and firm behaviour 4) Demonstrate effectiveness of novel city logistics delivery methods by conducting pilot studies 5) Provide private and public sector policy support by applying microsimulation model scenarios

货运是加拿大经济所有行业的核心。加拿大的运输和仓储业占国内生产总值的3.8%，商业运输业雇用了约5%的加拿大人口（加拿大运输部，2020年）。货运正在经历快速变化，电子商务最近大幅增加，与流行病相关的供应链中断，减少温室气体排放的压力，新的电气化和自动化技术，劳动力短缺和缺乏多样性。最后一英里交付通常发生在城市中心，是供应链中最昂贵和最具影响力的部分。 需要在城市货运分析、建模和观测研究方面取得进展，以提高我们评估新技术和商业创新、经济和监管政策、改善劳动力多样性的举措以及交通和基础设施投资的影响的能力。需要先进的城市货运模型来评估缓解城市货运对拥堵、道路安全、空气质量、温室气体排放和噪音的影响。由于数据可用性（特别是卡车远程信息处理和卫星图像）和数据科学技术的发展，存在着改进城市货运建模最新技术水平的机会。还需要开展货运试点研究，将知识从城市货运模型转移到示范项目中，从而推动制定支持性法规和政策，并提供见解，为现实的模型假设和情景提供信息。Roorda教授的研究计划的长期目标是为多伦多地区开发一个数据驱动的城市货运微观模拟建模系统，该系统可用于预测货运相关技术，法规，政策和基础设施对私营部门运营，货运流量及其社会和环境影响的影响。建模研究将改进将物流、优化和数据科学技术整合到公共部门城市货运模型中的最新方法，并将优化组合远程信息处理、传感器、工业和调查数据的使用。情景分析、建模和试点研究将共同促成货运方面的循证公共政策，并改善私营部门的货运业务。 短期目标是：1）使用数据科学技术创建综合货运数据平台2）开发公司行为模型，供应链和停车场应用于微观模拟模型3）开发基于代理的货物流动和公司行为微观模拟计算平台4）通过进行试点研究证明新型城市物流交付方法的有效性5）通过应用微观模拟模型情景，为私营和公共部门提供政策支持