COVID-19 caused a severe decline in public #transit ridership. Ridehailing & micromobility expanded rapidly over the past decade, but recently faced almost as precipitous declines. Our U.S.-China mobility meeting will discuss where we go from here. https://t.co/iCCNWbDS55 https://t.co/uNw7DSyhCw

- 8월 21, 2020

Favorite tweet:

COVID-19 caused a severe decline in public #transit ridership. Ridehailing & micromobility expanded rapidly over the past decade, but recently faced almost as precipitous declines. Our U.S.-China mobility meeting will discuss where we go from here. https://t.co/iCCNWbDS55 pic.twitter.com/uNw7DSyhCw
— TRB (@NASEMTRB) August 19, 2020

COVID-19 caused a severe decline in public #transit ridership. Ridehailing & micromobility expanded rapidly over the past decade, but recently faced almost as precipitous declines. Our U.S.-China mobility meeting will discuss where we go from here. https://t.co/iCCNWbDS55 https://t.co/uNw7DSyhCw http://twitter.com/NASEMTRB/status/1296181404821327875 https://t.co/iCCNWbDS55 August 20, 2020 at 05:25AM

이 블로그 검색

Scrap

COVID-19 caused a severe decline in public #transit ridership. Ridehailing & micromobility expanded rapidly over the past decade, but recently faced almost as precipitous declines. Our U.S.-China mobility meeting will discuss where we go from here. https://t.co/iCCNWbDS55 https://t.co/uNw7DSyhCw

댓글

댓글 쓰기

이 블로그의 인기 게시물

The TRB Forum on Preparing for Automated Vehicles and Shared Mobility brings together public, private, & research organizational partners to share perspectives on the critical issues around #AutomatedVehicles and #SharedMobility. Join us May 13! https://t.co/JdVG3j8grn https://t.co/MTJVp7Eng6

네이버 지도 API 길찾기 - 출발지와 도착지 입력

Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis https://t.co/7WKYgRUJou #AI #MachineLearning #DeepLearning #DataScience https://t.co/oTVhwcnJ39