Research
Research
Data Analytics
Data Analytics
Transportation Data analytics combining RStudio, Leaflet and HTML
Transportation Data analytics combining RStudio, Leaflet and HTML
This research was conducted as a part of a research on Mumbai: whether scarcity of data can still give us some approximate estimates for deriving conclusions and proposing better solutions.
On the left is an analysis of the frequency of use of each of the Bus stops in the city of Mumbai (BEST jurisdiction) using the GTFS Data for 2015., and using RStudio, Leaflet and HTML.
Use the + and - symbols/mouse scroll to zoom in and out of the map. Click, hold and move to pan across.
Use the + and - symbols/mouse scroll to zoom in and out of the map. Click, hold and move to pan across.
Transportation Data Analytics using Python
Transportation Data Analytics using Python
2.pdf
Similar to the above study, this was another study conducted to check if spatial interpolation was a useful technique that could be substituted for estimating ridership in the absence of enough data in the context of developing nations to derive efficient conclusions in the field of travel/transit demand in metropolitan areas.