Embedded Files
Global Mobility
Global Mobility
We thought that we live on Earth. The fact is - we live in a highly-connected graph.
Airplanes, ships, railways, and roads connecting countries, cities, communities and each and every one of us.
The closures of country borders and social distancing grounded airplanes, however, the goods have still to travel to keep society functioning, new routes for supplies have to be established.
We use aircraft and ship position data in combination and apply state of art graph analytic techniques to provide:
immediate accurate global view on flight and shipping activities and movement of people and goods,
long term monitoring on the city, country, and global level,
interpretability in terms of system health.
We aim to provide insights for societies and decision makers during the pandemic situation and to learn a valuable lesson for the future!
Example aggregated 1 week flights, based on opensky-network.org
Notices to Airmen notification from www.ans.lt/en/ais/notams/
Traffic Volume Changes in NYC
Traffic Volume Changes in NYC
After the first confirmed case of COVID-19 was found on March 1st, the traffic volume in some freeways drastically changed.
We extracted the daily average speed (left line chart) and travel time (right line chart) of some freeway paths in Manhattan for the last three weeks.
Data source (NYC Open Data): https://data.cityofnewyork.us/Transportation/Real-Time-Traffic-Speed-Data/qkm5-nuaq
X-axis: Number of days from the first Sunday of March (Blue lines: 2019 3/3 - 3/24, Orange lines: 2020 3/1 - 3/22)
Y-axis (left line chart): Average speed (mph) of running vehicles. The higher value indicates less traffic.
Y-axis: (right line chart): Average travel time (seconds) to pass the path. The higher value indicates more traffic.
Examples of Traffic volume changes
Examples of Traffic volume changes
Lincoln Tunnel (left): The overall trend is similar, but vehicles passing this tunnel could run more smoothly..
Robert F. Kennedy Bridge (center): Quietly vacant at all times regardless of date.
Brooklyn Bridge (right): It becomes more vacant from March 11th.
This map shows all locations of traffic sensors in Manhattan. These sensors are located at 35 links at some freeways in Manhattan, but one third of links (grey markers) data are incomplete and we visualized traffic volume data for only 23 links (orange markers).
By clicking one of these markers in this map, you can see the link ID, the location name, approximate coordinates (longitude and latitude) and visualized traffic volume changes (if available).
Our analytics using NYC Citi Bike data
Our analytics using NYC Citi Bike data
By estimating how many bikes are used in a hourly and daily basis, we can get to know how many people are active outside even under the lockdown policy. However, our analytics should not say anything about results - just stating that people are outside for whatever reasons. This might be against the NYC policy, but people need to be outside for essential things. NYC / UN could use it to better understand what’s going on in the city.
This result should not be used to encourage the city government to provide more strict rules on people who are active outside. For this analysis, we will track how many people use bikes by counting how # of bikes available in Citi Bike stations are changed overtime (e.g. every 1 min). For instance, one particular bike station has 26 bikes available, and then after 1 min, if it is reduced to 24 bikes, then it means 2 people start to ride on bikes. That’s the first analysis.
More precise trip data is available from Citi Bike System Data, but it is not updated in a daily manner, but available after 2 months later. Thus, our conclusion is that we could use it later what happened, but it would be better to use real-time bike station information as of now. Macro-level traffic analysis using NYC open data (only 30 point data are available in a real time) is also complimentary to this bike sharing data to better understand how people behave under this condition.
Also, # of passengers information on buses and trains might be other options to complement this analysis.
Page updated
Google Sites
Report abuse