Modelling and assessing inter-regional transportation routing activities of trucks in Canada

对加拿大卡车的区域间运输路线活动进行建模和评估

• 批准号: RGPIN-2018-05852
• 负责人: Gingerich, Kevin
• 金额: $ 1.89万
• 依托单位: York University
• 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=758057
• 关键词: Modelling; assessing; inter; regional; transportation

As the largest country in the western hemisphere, Canada relies on an extensive highway network to move people and goods between cities and regions. Indeed, transportation and warehousing together account for 10% of Canada's GDP directly or indirectly. Trucking is the largest mode of freight transportation (transporting 72% of domestic goods by volume), but information on long-haul truck movements is limited by substantial costs of data collection and difficulties arising from multiple jurisdictions involved as vehicles cross municipal, regional, provincial, and federal boundaries.The proposed research program relies on the applicant's previous experience using GPS data to supply much needed basic data on long-haul truck movements and utilize this information to develop models of inter-regional truck patterns in Canada. The proposed research will analyze truck routes across Canada and develop route choice models to measure the influence of route factors (time, dependability, etc.). The models will help us predict the impact of various economic and policy changes on future transportation needs. The research program will also suggest a set of measures designed to evaluate the performance of long-haul trucks and the routes they use. Classifications of these measures include criticality (how important is each road link?), redundancy (are there suitable alternative routes available?), and dependability (how often and where do delays occur on the road network?). In addition, the research will explore how truck patterns and route choices are influenced by various land uses (warehouses, multi-modal facilities, etc.) and the adoption of connected and autonomous vehicle (CAV) technology. The potential impacts of CAVs are not well understood, yet expected to incur dramatic changes to transportation patterns as the technology becomes widely adopted.The work will be valuable to other research areas including (1) the creation of a Canadian version of the U.S. Freight Analysis Framework; (2) integration with economic models; (3) research into truck tours (multi-leg trips) and supply chain models (tracking goods across various travel modes); and (4) the evaluation of environmental emissions from long-haul trucks. Due to the significance of goods movement to the Canadian economy, the results of this research will provide vital insights to inform decision making on future transportation investments. The outputs of this work will be valuable to many varied parties including transportation professionals, public sector policy makers and private sector firms involved in transportation. In addition, the research program will train six highly qualified individuals who will contribute towards Canadian efforts to tackle future challenges in the transportation sector.

作为西半球最大的国家，加拿大依靠广泛的高速公路网络来移动城市和地区之间的人和货物。实际上，运输和仓储共同占加拿大GDP的10％，直接或间接地占加拿大GDP。卡车运输是最大的运输运输方式（按数量运输72％的国内商品），但是有关长途卡车移动的信息受到大量数据收集成本的限制，并且由于涉及的多个辖区而引起的困难，因为车辆跨越了市政，区域，省级，省级和联邦界限。在加拿大开发区域间卡车模式的模型。拟议的研究将分析整个加拿大的卡车路线，并开发路线选择模型，以衡量路线因素的影响（时间，可靠性等）。这些模型将帮助我们预测各种经济和政策变化对未来运输需求的影响。该研究计划还将提出一系列旨在评估长途卡车及其使用路线的措施。这些措施的分类包括关键（每个道路链接的重要性？），冗余（是否有合适的替代路线可用？）和可靠性（道路网络上的延迟发生了多久和延迟？）。此外，该研究将探讨卡车模式和路线选择如何受到各种土地用途（仓库，多模式设施等）的影响以及采用连接和自动驾驶汽车（CAV）技术的如何影响。在技​​术被广泛采用时，骑士的潜在影响尚未得到充分了解，但预计会引起运输模式的巨大变化。这项工作对于其他研究领域将很有价值，包括（1）创建美国货运分析框架的加拿大版本； （2）与经济模型的整合； （3）研究卡车旅行（多腿旅行）和供应链模型（跨各种旅行模式的商品）的研究； （4）评估长途卡车的环境排放。由于商品运动对加拿大经济的重要性，这项研究的结果将提供重要的见解，以告知对未来运输投资的决策。这项工作的产出将对许多各方，包括运输专业人员，公共部门政策制定者和涉及运输的私营部门公司都很有价值。此外，该研究计划将培训六个高素质的人，他们将为加拿大的努力做出贡献，以应对运输部门的未来挑战。