交通系统应对新冠病毒危机的三种方式
冠状病毒爆发后,我们了解到交通生态系统既非“公有”,也非“私有”。交通系统必须迅速调整。对交通系统的全面认识可以确保我们保持复原力。数字化和连通性将是推进无缝移动系统发展的关键。
Dr Ben Dror has two decades of global career spanning public, private and third sector settings - focused on clean-tech and sustainable transportation. Maya was a Director at the Innovation Center for Energy and Transportation (iCET), where she initiated and led successful projects such as China’s adoption of the zero emission vehicle credits and real-world emissions mandates. She co-founded BestEV, first global crowed-data EV ranking, led Global Corporate Strategy at Better Place, world's most invested start-up at the time, and formed multi-stakeholder partnerships for accelerating shared, connected, zero-emission and autonomous mobility adoption. Earlier in her career Maya served as Israel’s Trade Officer to China, where she facilitated numerous bilateral investments in clean tech, including energy, water, and mobility. She consulted mobility, water, energy startups along the way, loves the outdoors, and is a lifelong learner. She holds a PhD from Israel Institute of Technology (Technion), M.S. in Environmental Change and Management from the University of Oxford, and B.S. in Economics and East Asian Studies from the Hebrew University (cum laude).
冠状病毒爆发后,我们了解到交通生态系统既非“公有”,也非“私有”。交通系统必须迅速调整。对交通系统的全面认识可以确保我们保持复原力。数字化和连通性将是推进无缝移动系统发展的关键。
Mobility solutions have protected commuters, mobilised first-responders and helped share critical information to curb infection rates during the coronavirus crisis.
Here's how the COVID-19 pandemic has helped us look at transportation systems in new and important ways.
尽管现如今数据已经无处不在,但“数据”对于我们许多人来说仍是个令人生畏、无所不包的词汇。人们日益认识到,自己的网络足迹为日常生活中的大小机器提供了数据动力,我们在使用手机应用查询地图、呼叫网约车、租用自行车和踏板车、聊天时,自己的位置信息和时间戳都会被悄悄收集。
More information is available than ever before on our transportation habits. But perhaps it isn't yet priced in a way that serves the public good
Not everyone has benefited equally from the rapid growth of transport network companies like Uber and Lyft. Developments such as ride-pooling and automation hold great promise - but we mu...