GOALI: Collaborative Proposal: Novel approaches to model travel behavior and sustainability impacts of e-bike use

1706939 (Cherry)/ 1706695 （MacAuthur）。电动自行车（e-bikes）是一种带有小型电池驱动电动机的自行车，以辅助骑车人。在过去的十年里，电动自行车在欧洲和亚洲的销量超过了1.5亿辆——对中国来说，这是真正的革命性交通工具。这是世界上采用替代燃料最多的汽车。电动自行车在北美正变得越来越重要。然而，关于电动自行车使用者行为与环境可持续性影响的实证证据很少。研究小组将完善和部署一项研究，结合使用新兴的硬件和软件功能，收集电动自行车骑行者的行为数据。收集到的数据将用于评估电动自行车使用的巨大变化将如何影响可持续性。该GOALI项目的研究是由行业合作伙伴（博世）支持的。本研究的第一个目标是完善为电动自行车用户量身定制的仪表系统（物理硬件和移动设备应用程序）。该系统包括车载硬件和智能手机软件，用于收集能源和其他车辆远程信息处理的大量数据。仪器和移动应用程序收集的数据将被发送到一个平台，用户几乎不需要输入。利用这些数据，第二个目标是评估电动自行车用户的骑行行为以及电动自行车在满足出行需求方面的表现。研究小组将进行一项实证研究，从至少150-200名参与者开始，为期一年。这项与行业合作伙伴的合作将收集车辆远程信息和驾驶员行为指标，旨在模拟不同模式之间的净出行变化（模式转换和车辆行驶公里数）。这一目标将确定电动自行车的使用行为与相对知名的现有模式有何不同。第三个目标是调查拥有和使用电动自行车的生命周期对环境的影响，依靠美国能源部的GREET LCA模型。将行为模型与LCA模型相结合，将为这种新模式的影响提供一种方法学上的新评估。这项研究将为地方和国家的政策和规划工作提供信息，这些政策和规划工作与电动自行车的增长及其对环境政策目标的影响有关。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

1706939 (Cherry)/ 1706695 (MacAuthur). Electric bicycles (e-bikes) are bicycles with a small battery-powered electric motor to assist the rider. Over 150 million e-bikes have been sold in Europe and Asia in the past ten years--in China's case, truly transformative transportation. This is the world's largest adoption of an alternative fuel vehicle. E-bikes are becoming more important in North America. However, there is little empirical evidence on the behavior of e-bike users and environmental sustainability impacts. The investigator team will refine and deploy a research study, using a combination of emerging hardware and software capabilities, to collect behavioral data from e-bike riders. The collected data will then be used to evaluate how large shifts in e-bike use will affect sustainability. The research in this GOALI project is enabled by an industry partner (Bosch). The first objective of this research is to refine an instrumentation system (physical hardware and a mobile device application) tailored for e-bike users. This system includes a mix of onboard hardware and smartphone software to collect a host of data on energy and other vehicle telematics. The data collected by the instrumentation and mobile application will be sent to a platform with little to no input required by the user. Using that data, the second objective is to assess the riding behavior of e-bike users and the performance of e-bikes in meeting travel needs. The research team will conduct an empirical study, starting with at least 150-200 participants for one year. This collaboration with industry partners will collect vehicle telematics and rider behavior metrics with an aim toward modeling net travel changes between modes (mode shift and vehicle kilometers traveled). This objective will identify how e-bike use behaviors differ from relatively well known incumbent modes. The third objective is to investigate the life-cycle environmental impacts of e-bike ownership and use, relying on the Department of Energy's GREET LCA model. Coupling the behavioral models with LCA models will provide a methodologically novel assessment of the impact of this new mode. This study will inform local and state policy and planning efforts related to the growth of e-bikes and their influence on environmental policy goals.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.