OpenTransportNet: What's In It For Me?

If your city has transport data OTN can help you put it to good use. Our mapping tools and API will allow you to derive accurate insights from the available information and make the city’s transport system more efficient and therefore more enjoyable for citizens.  

Consider Riga. The capital has a fairly modern transport system and yet last year its public transport company received 93 million euros in subsidies. When a team of OTN GIS experts recently reviewed a selection of the city’s transport datasets (bus schedules, e-ticket validation, bus stop locations and links), it immediately saw how, by re-planning some of the existing routes, the company could see its subsidy bill fall.

Using OTN map composition the team first made a few cartographic visualisations of bus usage and published the results as WMS-T services on the Hub. It then used a WebGLayer JavaScript library to display the distribution of passengers on each bus route in different parts of the city. The team is now trying to figure out how best to identify spots that are too weak or too strong based on the results of two previous steps – a weak spot is one where demand exceeds connections and a strong one is where connections exceed demand – and how to identify any relationships between bus connections and the density of residential or industrial buildings in the area adjacent to the bus stop. 

Once these issues have been addressed and data on traffic intensity considered more fully OTN experts will be able to propose better bus routes in particular road segments to Riga’s transport authorities.

The number of passengers travelling on different bus lines and boarding buses at different stops and time of the day in Riga on 09.02.2016 (http://opentnet.eu/web/guest/create-maps?composition=261a62fd-d6f4-4f85-bf8d-3f631a1b810f&hs_panel=layermanager)Figure 1. The number of passengers travelling on different bus lines and boarding buses at different stops and time of the day in Riga on 09.02.2016 (http://opentnet.eu/web/guest/create-maps?composition=261a62fd-d6f4-4f85-...)

Figure 2. Heatmap showing the number of passengers travelling on different bus lines and boarding buses at different stops and times of the day in Riga on 09.02.2016 (http://opentnet.eu/web/guest/create-maps?composition=6271e0ca-3d62-42c9-9644-40f1c46fc54d&hs_panel=layermanager)

Figure 3. Overall distribution of passengers on bus route #3 in Riga on 09.02.2016

Figure 4. The distribution of passengers on bus route #3 in Riga on 09.02.2016 from 5:00-7:00 where number of passengers was higher than 40

Figure 5. The distribution of passengers on bus route #3 in Riga on 09.02.2016 from 5:00-7:00 where the number of passengers was higher than 180

Figure 6. Comparing the distribution of passengers on buses in two randomly selected regions in Riga on 09.02.2016 

Figure 7. 100/200/500/1000/2000-meters buffer zones around bus stops (http://opentnet.eu/web/guest/create-maps?composition=f910b59b-4e83-4b15-83c7-f2bf8b29e275&hs_panel=layermanager)

If you'd like to talk to us about your transport problems, use this contact form and a member of our team will get back to you with more information. Alternatively, you can register for free on our Hub and see what our tools can do with your data!

Publication Date: 
Wednesday, April 20, 2016