Modelling the Impact of New Mobility Trends and Technologies on Travel Behaviour and Demand

模拟新的出行趋势和技术对出行行为和需求的影响

• 批准号: RGPIN-2021-04226
• 负责人: Weiss, Adam
• 金额: $ 1.89万
• 依托单位: Carleton 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=752864
• 关键词: Modelling; Impact; New; Mobility; Trends

The transportation system is rapidly evolving in response to the development of new mobility trends and technologies. These technologies include autonomous vehicles (AVs), ride hailing and ride sharing services and micro mobility options like shared biked and e-scooters. There is also a movement towards integrating these mobility technologies as well as existing shared mobility tools like transit under a single technology-enabled ecosystem. This integration, commonly referred to as mobility as a service (MaaS) falls under the broad information and communications technology umbrella of NSERCs strategic areas of interest. The proposed research program will focus on developing predictive models that can be used to assess how new mobility technologies will change the transportation system. The models that are proposed will focus on predicting changes to travel behaviour and travel demand for urban residents. These models can be applied in a simulation framework to proactively test the impact of the introduction of policies that encourage safe, sustainable and cost-effective travel options for everyone living in an urban area. The models to be developed use best practice and new and novel methods. To develop the tools for this research, a data collection system will be established. The data collection will use different methods to capture different aspects of travel behaviour. Methods will include: 1.Global positioning system (GPS) and smartphone tracking apps used over an extended time frame; 2.A virtual reality study where respondents experience riding in an AV and other modes of transport; 3.A group decision making experiment where households negotiate how much to spend on mobility. These datasets will lead to behavioural models to predict: 1.The habitualness of travel patterns for the purposes of understanding the feasibility of prescheduling ride hailing services. 2.Does experiencing riding in an AV change users' perception of the viability of the technology? 3.How will households negotiate mobility expenditure if there are ride hailing services? HQP in this program will gain training in key areas including travel survey design and deployment, data processing, travel model development and policy assessment that are in high demand in the transportation planning and demand forecasting industry. These skills are widely applicable for transportation engineers in both research and practical contexts. Furthermore, the developed models will provide insights into policy development, allowing decision makers to test how effective a particular policy is within the model before implementation. These models will ideally help decision makers to understand how best to use AVs and MaaS. Canadians from all walks of life will benefit under this new system leading to broad positive social, economic and environmental outcomes.

交通运输系统正在快速发展，以应对新的移动趋势和技术的发展。这些技术包括自动驾驶汽车（AV），海陵和乘车共享服务以及共享自行车和电动滑板车等微移动选项。还有一种趋势是将这些移动技术以及现有的共享移动工具（如交通工具）整合到一个单一的技术支持的生态系统中。这种集成通常被称为移动即服务（MaaS），福尔斯属于NSERC感兴趣的战略领域的广泛信息和通信技术保护伞。拟议的研究计划将侧重于开发可用于评估新移动技术将如何改变交通系统的预测模型。所提出的模型将侧重于预测城市居民出行行为和出行需求的变化。这些模型可以在模拟框架中应用，以积极主动地测试出台鼓励为居住在城市地区的每个人提供安全、可持续和具有成本效益的出行选择的政策的影响。将开发的模型使用最佳做法和新的和新颖的方法。为了开发这项研究的工具，将建立一个数据收集系统。数据收集将使用不同的方法来捕捉旅行行为的不同方面。方法将包括：1.全球定位系统（GPS）和智能手机跟踪应用程序在较长的时间内使用; 2.一项虚拟现实研究，受访者体验乘坐AV和其他交通方式; 3.一项群体决策实验，家庭协商在移动性上花费多少。 这些数据集将导致行为模型预测：1.出行模式的习惯性，以了解提前预订海陵服务的可行性。 2.乘坐AV是否会改变用户对该技术可行性的看法？3.如果有海陵车服务，家庭将如何协商移动支出？HQP将在交通规划和需求预测行业的关键领域获得培训，包括旅行调查设计和部署，数据处理，旅行模型开发和政策评估。这些技能广泛适用于研究和实践环境中的运输工程师。 此外，所开发的模型将提供对政策制定的深入了解，使决策者能够在实施之前测试特定政策在模型中的有效性。这些模型将理想地帮助决策者了解如何最好地使用AV和MaaS。各行各业的加拿大人将受益于这一新制度，从而产生广泛的积极社会、经济和环境成果。